Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 Jan 30.
Published in final edited form as: Curr Drug Metab. 2023;24(3):175–189. doi: 10.2174/1389200224666230425232433

Recent advances in novel recombinant RNAs for studying posttranscriptional gene regulation in drug metabolism and disposition

Mei-Juan Tu 1, Ai-Ming Yu 1
PMCID: PMC10825985  NIHMSID: NIHMS1959570  PMID: 37170982

Abstract

Drug-metabolizing enzymes and transporters are major determinants of the absorption, disposition, metabolism, and excretion (ADME) of drugs, and changes in ADME gene expression or function may alter the pharmacokinetics/pharmacodynamics (PK/PD) and further influence drug safety and therapeutic outcomes. ADME gene functions are controlled by diverse factors, such as gene polymorphism, transcriptional regulation, and co-administered medications. MicroRNAs (miRNAs) are a superfamily of regulatory small noncoding RNAs that are transcribed from the genome to regulate target gene expression at post-transcriptional level. The roles of miRNAs in controlling ADME gene expression have been demonstrated, and such miRNAs may consequently influence cellular drug metabolism and disposition capacity. Several types of miRNA mimics and small interfering RNA (siRNA) reagents have been developed and widely used for ADME research. In this review article, we first provide a brief introduction to the mechanistic actions of miRNAs in post-transcriptional gene regulation of drug-metabolizing enzymes, transporters, and transcription factors. After summarizing conventional small RNA production methods, we highlight the latest advances in novel recombinant RNA technologies and applications of the resultant bioengineered RNA (BioRNA) agents to ADME studies. BioRNAs produced in living cells are not only powerful tools for general biological and biomedical research but also potential therapeutic agents amenable to clinical investigations.

Keywords: Drug-metabolizing enzyme, transporter, microRNA, siRNA, regulation, recombinant RNA

1. INTRODUCTION

Determination of drug absorption, disposition, metabolism, and excretion (ADME) properties is essential in drug discovery and development to assess the druggability and predict efficacy, toxicity, and drug-drug interactions (DDIs) of a drug candidate. Knowledge of ADME or pharmacokinetics (PK) further guides the design of efficacious and safe dosing regimens for clinical practices under various conditions, such as applications to diverse populations. Changes in ADME may lead to insufficient distribution of or overexposure to a drug in humans or result in unexpected levels of toxic metabolites, thereby causing toxicity or a reduced efficacy [13]. Therefore, understanding the key elements in the control of ADME/PK and relevant regulatory mechanisms could facilitate drug development and ensure safe use of approved medications.

Drug‐metabolizing enzymes highly expressed in human livers and other major ADME organs are responsible for the metabolism of drugs and other kinds of xenobiotics [3], including Phase I enzymes such as cytochrome P450 enzymes (CYPs or P450s) that catalyze the oxidations of drugs, and Phase II enzymes, such as UDP‐glucuronosyltransferases (UGTs) and sulfotransferases (SULTs) that mediate important conjugation reactions. In addition to passive diffusion, drugs may be actively pumped into the cells by solute carrier (SLC) superfamily uptake transporters such as organic anion transporting polypeptides (OATPs) and organic cation transporters (OCTs), and are exported from the cells through efflux transporters mainly constituted by ATP-binding cassette (ABC) superfamily transporters such as P-glycoprotein (ABCB1/P-gp/MDR1), multidrug resistance-associated proteins (ABCCs/MRPs), and breast cancer-resistance protein (ABCG2/BCRP). Meanwhile, some metabolites are also transported or excreted by SLC or ABC transporters [4]. Overall, drug-metabolizing enzymes and transporters are determinants of ADME/PK which is inevitably linked to pharmacodynamic (PD) and safety of the drugs [5].

The expression, localization, and activities of drug‐metabolizing enzymes and transporters are regulated by various factors, which thereby may affect the ADME/PK/PD profiles of drugs. One of the widely studied mechanisms is gene polymorphism, including single nucleotide polymorphism (SNP), copy number variation, and alternative splicing, through which the encoded protein with single or multiple amino acid changes, or variable length may cause changes in protein outcome, activity, and/or incorrect localization [58]. Another important mechanism underlying variations of ADME is transcriptional regulation of ADME genes mediated by transcription factors (TFs), especially several nuclear receptors (NRs) such as pregnane X receptor (PXR or NR1I2) and constitutive androstane receptor (CAR or NR1I3). Upon ligand binding, the activated NR binds to target DNA and recruits other cofactors to activate target gene transcription [6, 9, 10]. On the other hand, the localization and function of enzymes and transporters could be regulated by post-translational modifications, such as phosphorylation, ubiquitination, glycosylation, and palmitoylation [11, 12]. Pathological and physiological conditions such as age, gender, pregnancy, and diseases in the liver, kidney, intestine, and other organs that are critical for ADME may also cause the alterations of those drug-metabolizing enzymes and transporters [7, 13]. Furthermore, exposure to drugs, environmental toxins, and diets that contain modulators of those proteins and/or inducers of liver or kidney injury or DDIs are known contributors to ADME/PK variations [14, 15]. Additionally, the contributions of epigenetic factors such as DNA methylation, histone acetylation, and noncoding RNAs (ncRNA) to ADME gene expression have been increasingly recognized in the past two decades [6, 1621].

MicroRNAs are a large family of regulatory ncRNAs approximately 22 nt in length that are derived from the genome [22]. The first miRNA, lin-4, was discovered in Caenorhabditis elegans (C. elegans) and identified to encompass complementary sequences to some repeated elements located in the 3′-untranslated region (UTR) of lin-14 mRNA [23]. The base-paring and regulatory effects of lin-4 RNA on LIN-14 protein levels were verified by another group almost at the same time [24]. In humans, more than 2,000 miRNAs have been identified and their functions in post-transcriptional gene regulation via targeting the miRNA-responsive elements (MREs), which are usually located within the 3’UTR of target transcripts accounting for more than two thirds of human genes, have been well recognized. Subsequently, almost all cellular processes including drug metabolism and disposition have been revealed to be modulated by specific miRNAs [21, 22, 2527]. Meanwhile, the concept of RNA interference (RNAi) was introduced, and synthetic double-stranded RNAs (dsRNAs) or short interfering RNAs (siRNAs; could be processed from dsRNAs) are effective to regulate target gene expression [2830]. As such, RNAi has been recognized as a revolutionary approach and extensively used for selective knockdown of a target gene. Indeed, exogenous siRNAs and endogenous miRNAs converge at the RNA-induced silencing complex (RISC) to achieve post-transcriptional regulation of target genes [3133].

Extensive research has revealed that the majority of miRNAs post-transcriptionally regulate specific drug-metabolizing enzymes and transporters (Fig. 1) by directly targeting the 3’UTR of their corresponding transcripts, while siRNAs are traditionally designed to act on the coding region (CDS) of target genes, and now increasingly on the 3’UTR (Fig. 2). As the transcription of the ADME genes is controlled by NRs or other regulators, miRNAs could indirectly regulate ADME genes through targeting such factors [26]. Therefore, ADME/PK properties of drugs and other types of xenobiotics could be regulated by miRNAs through an interactive network consisting of miRNAs, ADME genes, nuclear receptors, and other forms of regulatory factors (Fig. 1). Conversely, the biogenesis of miRNAs from miRNA-coding genes is also controlled by their own transcription factors or NRs that may be modulated by the drugs, leading to variations in drug exposure or ADME/PK [18, 34]. In this review, we first introduce the roles of miRNAs in the regulation of drug‐metabolizing enzymes and transporters. After summarizing novel recombinant RNA technologies, we overview and discuss the applications of the recombinant or bioengineered RNA (BioRNA) agents to research on ADME/PK.

Fig. (1).

Fig. (1).

Role of miRNAs in ADME/PK involving post-transcriptional gene regulation of metabolic enzymes, transporters, and their regulators. Genes encoding drug-metabolizing enzymes and transporters that are directly involved in the absorption, distribution, metabolism, and excretion of drugs are commonly referred to as ADME genes. MiRNAs have shown to regulate ADME gene expression at the post-transcriptional level via direct targeting of ADME gene transcripts and/or acting on their regulators, such as nuclear receptors (NRs). Nuclear receptors typically bind to the DNA promoter regions of targeted ADME genes to achieve transcriptional gene regulation. Alteration of drug-metabolizing enzyme and transporter levels could result in changes in the ADME/PK properties of related drugs. Vice versa, the processing of miRNAs could be controlled by multiple regulators that may be affected by drugs or xenobiotics.

Fig. (2).

Fig. (2).

Mechanisms of miRNA- and siRNA-mediated ADME gene regulation. The functional strand of the miRNA or siRNA duplex is loaded into an Argonaute protein (AGO) to form the RNA-induced silencing complex (RISC) and subsequently binds to target mRNA through complementary base paring to exert RNA degradation and/or translation inhibition for the control of drug-metabolizing enzyme, transporter, and NR protein levels. MiRNAs usually bind to the 3’-untranslated region (3’UTR) of target transcript via imperfect complementarity, while siRNAs are often designed to target the coding region, and now increasingly 3’UTR, of target mRNA through perfect base pairing.

2. MICRORNAS IN POST-TRANSCRIPTIONAL REGULATION OF ADME GENES

2.1. MicroRNA biogenesis and mechanisms of miRNA/siRNA-induced gene silencing

The canonical miRNA production process (Fig. 3) begins with intranuclear, RNA polymerase II (Pol II)-mediated transcription of miRNA-coding gene to produce a long, 5’-capped, 3’-polyadenylated stem-loop primary miRNA (pri-miRNA) transcript [35, 36]. Additionally, miRNAs encoded by the largest human miRNA gene cluster, C19MC, are transcribed in an RNA polymerase Ⅲ-dependent manner [3739]. The pri-miRNAs are then cropped into shorter miRNA precursors (pre-miRNA, ~70 nt) by the nuclear microprocessor complex which comprises the key enzyme Drosha, an RNase III family member, and the partner DGCR8/Pasha, a double-stranded RNA binding protein [4042]. The pre-miRNAs are exported to the cytoplasm through the karyopherin Exportin-5 (Exp5) in a Ran guanosine triphosphate (Ran-GTP) dependent way [43]. The pre-miRNAs are subsequently cleaved into 19–25 nt miRNA duplexes with 2-nt 3’ overhangs by another RNase III endonuclease, Dicer (Fig. 3), along with the cofactors the human immunodeficiency virus transactivating response RNA-binding protein (TRBP), and protein kinase R-activating protein (PACT) within cytoplasm [38, 4446]. TRBP and/or PACT may not be necessary for the Dicer-catalyzed pre-miRNA cleavage, whereas TRBP is able to stabilize Dicer. Both TRBP and PACT play important roles in the recruitment of (AGO2), and stabilization of miRNAs, therefore they are essential for miRNA-mediated posttranscriptional gene regulation [4446]. It should be noted that there are multiple branches in miRNA processing and the exact mechanism by which each factor participates in this process is still not fully disclosed [38, 47, 48].

Fig. (3).

Fig. (3).

MicroRNA biogenesis and common RNAi agents used in ADME research. Production of endogenous miRNAs is initiated by transcription of miRNA-encoding genes to produce primary miRNAs (pri-miRNA) that are subsequently sliced by nucleic RNase III enzyme Drosha to release precursor miRNAs (pre-miRNAs). Pre-miRNAs are then exported to the cytoplasm by Exportin-5 in a Ran guanosine triphosphate (Ran-GTP) dependent way. The cytoplasmic pre-miRNAs are further cleaved by another RNase III enzyme Dicer to produce miRNA duplexes. (A) MiRNA mimics or shRNA expressing plasmids or virus are the conventional RNAi agents designed by mimicking the natural miRNA biogenesis pathways. After transfection or infection, desired small RNA-encoding genes are integrated into the genome of the host cells, and then the miRNAs or siRNAs are derived by following the natural miRNA biogenesis processes, except that some designs of short, stem-loop shRNAs bypass the pri-miRNA production step. (B) Small RNA analogs produced by chemical synthesis or in vitro transcription are the most widely used RNA reagents in basic and clinical studies. In addition to double-stranded miRNA mimics and siRNAs, another kind of synthetic RNAs, single-stranded antisense oligos, namely antagomirs, are also used for the inhibition of miRNAs. (C) Recombinant or bioengineered RNA agents made in live cells using the tRNA fused pre-miRNA as a carrier are a novel class of RNAi agents, which, upon introduced into cells, are processed to target miRNA or siRNA duplex in a Dicer-dependent or independent manner.

The miRNA duplex is then loaded onto one member of Argonaute (AGO) proteins, AGO1–4, to form the pre-RISC, and then the complex releases the passenger strand to form the activated RISC [4851]. The guide strand within the RISC binds to the target transcript via complementarity to suppress target protein expression via AGO-dominated mRNA degradation and/or protein translation inhibition [49, 5156] (Fig. 2). It has been recognized that miRNAs usually bind to the target transcript via partial complementarity, and consequently repress protein translation by interfering with the recruitment and functions of the factors involved in protein translation, whereas perfect or near-perfect base-pairing of the miRNA or siRNA with target transcript leads to mRNA degradation and translation inhibition [52, 57]. In mammals, all four AGOs are functional in protein translation inhibition, while only AGO2 is capable of being an endonuclease to slice the mRNAs [49, 53]. While some studies showed that widespread mRNA degradation was induced by miRNAs with imperfect miRNA-mRNA pairing in mammals, probably through the deadenylation, decapping, and finally 5’- to 3’- decay pathway [5862], protein outcome is the hallmark of miRNA-controlled gene regulation. By contrast, siRNAs are generally designed to perfectly match targeted sequences that are usually located within the CDS and sometimes the 3’UTR of the target genes (Fig. 2).

2.2. MicroRNAs in the regulation of drug-metabolizing enzymes

Enzymes that mediate the metabolism of drugs and some exogenous substances are classified into two groups, Phase I enzymes that catalyze the oxidation, reduction, and hydrolysis of the substances to introduce functional groups, and Phase II enzymes that are responsible for conjugation reactions to bring in small molecule moieties. While some drugs may be conjugated directly, drugs are usually subjected to sequential reactions catalyzed by Phase I and Phase II enzymes to form metabolites with higher polarity, through which the drugs are often deactivated, sometimes activated, and finally eliminated [63]. P450 superfamily enzymes that function as monooxygenases participate in more than 75% of Phase I biotransformations, whereas members of the UGT superfamily are the major enzymes involved in Phase II metabolism in humans, which together form the predominant components of xenobiotic metabolizing system [21, 63, 64].

The human P450 superfamily is divided into 18 families that are comprised of 57 well-characterized members in total. It is predicted that almost all the P450 enzymes might be regulated by miRNAs, among which 17 isoforms were identified experimentally as targets for dozens of miRNAs [21, 64, 65]. Tsuchiya et al. validated CYP1B1 as a direct target of miR-27b [66], which is the first report on the miRNA-mediated post-transcriptional regulation of a drug-metabolizing enzyme. The direct association of miR-27b and CYP1B1 3’UTR was predicted by in silico analysis and verified by luciferase reporter gene assay through inhibition and re-introduction of miR-27b in human MCF-7 and Jurkat cells, and then the determination of CYP1B1 protein level and enzymic activity confirmed the downregulation of CYP1B1 by miR-27b, which together with mRNA level evaluation represent a classic methodology for the investigation of miRNA-mediated ADME gene regulation. The same group also revealed the inverse correlation of miR-27b and CYP1B1 in breast cancer tissues, which could be explained by the suppressive effect of miR-27b on CYP1B1 expression, indicating the significance of miRNA mediated gene regulation in cancer. Meanwhile, Pan et al. showed that miR-27b acts as a suppressor of CYP3A4 [67], the most abundant human P450 isoform in both the liver and intestine. The authors first identified that miR-27b directly targets CYP3A4 3’UTR using two separate computational algorithms and luciferase reporter assays. Interestingly, levels of CYP3A4 protein, transcripts containing CDS or 3’UTR were all downregulated by miR-27b, among which 3’UTR-containing transcripts showed a lower level than the CDS, suggesting both translation inhibition and mRNA degradation mechanisms are involved in miR-27-controlled CYP3A4 regulation. Another direct target of miR-27b, vitamin D receptor (VDR/NR1I1), an NR known to transcriptionally control CYP3A4 expression, was further identified [67]. Likewise, retinoid X receptor alpha (RXRα; NR2B1), a NR that is able to control CYP3A4 expression was reported to be targeted by miR-27b [68]. The above studies demonstrate that CYP3A4 could be directly and indirectly regulated by miR-27b that might lead to an overt greater effect. In addition, another study revealed the regulation of some human P450s by specific miRNAs, such as CYP2C19 by miR-29a-3p [69], CYP2B6 by miR-25–3p [70], and CYP2E1 by miR-214–3p [71], in which an electrophoretic mobility shift assay was developed to evaluate the miRNA-MRE interactions. More miRNA-governed regulation of P450 enzymes can be found in some recent reviews [20, 21, 26, 72].

The human UGTs are a family of membrane proteins composed of 19 functional isoforms that are categorized into four subfamilies, with UGT1A as the most abundant subfamily [73]. All9 members of the UGT1A subfamily are encoded by a single gene and share the same 3′UTR. Papageorgiou and coworkers comprehensively screened the regulatory effects of a miRNA mimic library containing 2048 known human miRNAs on the UGT1A family using UGT1A 3’UTR luciferase reporter gene assays in HEK293 cells. MiR-103b, miR-141–3p, miR-200a-3p, miR-376b-3p, miR-1286 were shown to decrease the luciferase activity of reporter gene carrying UGT1A 3’UTR by more than 30%, and corresponding MREs for individual miRNAs were also identified within the UGT1A 3’UTR. The functional study demonstrated that miR-21–3p, miR-103b, miR-141–3p, miR-200a-3p, and miR-376b-3p mimics inhibited the activity and mRNA levels of UGT1A1 and UGT1A6 in human colon cancer cell line LS180. Furthermore, miR-21–3p, miR-141–3p, and miR-200a-3p were shown to suppress the mRNA levels and metabolic activities of UGT1A1 in primary human hepatocytes [74]. In addition, miR-491–3p was found to strongly inhibit the UGT1A1 3’UTR luciferase reporter activity [74], which is consistent with an earlier study showing that miR-491–3p repressed the mRNA levels of UGT1A1, UGT1A3, UGT1A6, as well as drug-metabolizing activity of UGT1A1, by directly targeting UGT1A 3’UTR in HuH-7 cells [75]. Some studies also reported the regulatory effects of miRNAs on other Phase Ⅱ enzymes, such as the suppression of human sulfotransferase 2A1 (SULT2A1) by hsa-miR-495–3p and hsa-miR-486–5p [76]. Findings on miRNA-controlled regulation of Phase Ⅱ enzymes can be found in some reviews published recently [26, 77, 78].

2.3. MicroRNAs in the regulation of transporters

Drug transporters are crucial for the absorption, distribution, and excretion of drugs, other exogenous and endogenous substances, and their metabolites, and therefore play important roles in drug efficacy and toxicity. In some cases, transporter-based drug-drug interactions may occur and lead to variations in ADME/PK. Transporters that mediate the transmembrane movement of drugs between different body fluid compartments, cells, and tissues are classified as two major superfamilies, the ABC family which are ATP-dependent efflux transporters and the SLC family which mainly function as uptake transporters without the assistance of ATP. Transporters located on epithelial cells in the intestine, liver, kidney, and brain are of particular interest as they play critical roles in the translocation of the drugs across those epithelial cells, which may subsequently determine the PK/PD of relevant drugs [79]. In addition, upregulation of efflux transporters such as MDR1, MRPs, and BCRP has been demonstrated to be one of the key mechanisms of multi-drug resistance (MDR), a major obstacle in cancer chemotherapy. As such, tremendous efforts are being made to investigate the regulatory mechanisms of those MDR proteins [7982].

Many miRNAs have been shown to modulate ABCC/MRP protein outcomes through post-transcriptional gene regulation, such as ABCC1/MRP1 by miR-1291, miR-145, miR-1268a, miR-185–5p, miR-7, miR-210–3p, miR-133a and miR-326 [8389], ABCC2/MRP2 by let-7c, miR-379, miR-297, miRNA-133a, miR-490–3p [9094], ABCC3/MRP3 by miR-149, miR-192–5p, miR-181b-2–3p [9597], and ABCC4/MRP4 is regulated by miR-124a (miR-124–3p) and miR-506 [98, 99]. However, alternative splicing and/or polyadenylation might occur during mRNA maturation, which might lead to variable lengths of mRNAs and/or 3’UTRs, and thus change the number or sequence of possible binding sites of miRNAs [100]. Bruhn et al. reported that the mRNAs of ABCC1, ABCC2, and ABCC3 all include multiple 3′UTR variants in human cancer cell lines and tissues [101]. Using luciferase reporter assay, they found that miR-379 could not suppress the activity of the shorter ABCC2 3’UTR variant lacking respective MRE [101]. A similar study showed that a truncated ABCG2 3’UTR was highly expressed in drug-resistant colorectal cancer cells [102]. As ABCG2 is a validated miR-519c target, and the truanted ABCG2 transcript lacking miR-519c MRE site escaped from miR-519c induced RNA degradation and/or translation inhibition, which could contribute to ABCG2 overexpression and MDR. Moreover, the same group revealed one more direct target of miR-519c, HuR, which is a binding protein of ABCG2 and could stabilize ABCG2 mRNA as well, suggesting that ABCG2 expression could be controlled by miR-519c through direct and indirect pathways [102104].

The SLC transporters associated with the influx of drugs and xenobiotics mainly include the following subfamilies, OCTs (SLC22), organic anion transporters (OATs, SLC22), organic cation/carnitine transporters (OCTNs, SLC22), OATPs (SLCO), and multidrug and toxin extrusion proteins (MATEs, SLC47A) [79]. There is increasing evidence showing that miRNA-mediated post-transcriptional regulation is one cause of interindividual variations of these proteins. Gene expression analysis with 26 human liver samples revealed that miR-24 levels are negatively associated with the levels of hepatocyte nuclear factor 4 alpha (HNF4α) mRNA as well as OATP2B1 mRNA and protein [105]. HNF4α is a liver-enriched nuclear receptor that controls hepatic OATP2B1 transcriptional expression, and it has been reported as a direct target of miR-24 [106]. In addition, computational analysis predicted 2 MREs for miR-24 within OATP2B1. Thus, the authors investigated the direct effect of miR-24 on OATP2B1 using luciferase reporter assay. The results demonstrated that miR-24 was able to suppress OATP2B1 expression by promoting mRNA degradation and translation inhibition [105]. Then the suppression of endogenous OATP2B1 and HNF4α expression by miR-24 was confirmed in HepaRG cells by using miR-24 precursor [105]. Interestingly, another group reported miR-24 mediated regulation of OATP2B1 using OATP2B1-overexpressing HEK293 cells and Caco-2 cells around the same time [107]. However, inhibition of miR-24 did not lead to OATP2B1 upregulation in Caco-2 cells. These studies indicate that miRNA-controlled post-transcriptional regulation may cause interindividual differences in tissue and/or disease specific expression of drug transporters, offering new insights into causes of interindividual variations in ADME and the development of more effective drug treatment, especially for advanced cancer. There are also some recent reviews on the role of miRNAs in regulating drug transporters [6, 26, 108110].

2.4. MicroRNAs in the regulation of transcription factors in ADME

Many transcription factors especially nuclear receptors play vital roles in the transcriptional gene regulation of drug-metabolizing enzymes and transporters. Nuclear receptors, such as PXR, CAR, VDR, retinoid X receptor (RXR, NR2B1), and peroxisome proliferator-activated receptor α (PPARα or NR1C1)), typically bind with the corresponding exogenous or endogenous ligands to be activated and then form dimers with their respective partners. The NR dimers subsequently bind to target genes to activate transcription [6, 9, 111]. Contemporary studies on miRNA-mRNA association usually start with miRNA array, deep-sequencing, or bioinformatics analysis to predict the network of possibly involved miRNAs and genes. Thus, specific miRNA-mediated NR and ADME gene regulation may be investigated more extensively.

A global transcriptome analysis of liver tissues from donors with and without inflammation disclosed a miRNA-NR-P450 regulation network [112]. Luciferase reporter studies validated the putative MREs in the 3’UTRs of RXRα, CYP2C8, CYP2C9, CYP2C19, and CYP3A4 for miR-130b-3p, miR-452–5p, miR-155–5p, miR-155–5p/6807–5p, and miR-224–5p, respectively. Functional studies further showed that miR-155–5p remarkably repressed the activities of CYP1A2, 2C9, 2C19, 2D6 and 3A4, whereas miR-452–5p moderately suppressed the activities of CYP1A2, 2B6, 2C8 [112]. An earlier study by the same group revealed that miR-130–3p directly interacted with CYP2C9 and suppressed the metabolic activities of CYP2C9, as well as CYP1A2, CYP2B6, CYP2C8, CYP2C19, and CYP3A4, although precise mechanisms remain elusive [113]. As RXRα usually dimerizes with PXR, CAR, or PPARα to regulate P450 expression, the suppression of RXRα by miR-130b-3p [112] could be one reason for the broad effects of miR-130b-3p on multiple P450s. Likewise, NR or other regulators could be involved in the influence of miR-155 on the expression and activities of multiple P450s, which warrants further investigation. These studies also suggest that miRNAs may coordinate with other factors to regulate ADME gene expression under some disease conditions such as inflammation. There are also severe reviews covering miRNA regulation of NRs and regulatory factors in ADME [6, 26, 114].

3. CONVENTIONAL SMALL RNA REAGENTS AND PRODUCTION METHODS

Gain- and loss-of-function are common approaches to investigate the roles of miRNAs in the regulation of ADME gene expression and effects on drug metabolism and disposition. Corresponding miRNA agents and antisense oligos (antagomirs or inhibitors) have been developed and produced to imitate and inhibit the functions of miRNAs, respectively. In addition, siRNA agents may be produced to selectively inhibit or silence the ADME gene of interest. Some common, conventional, small RNA reagents are summarized herein, and production methods are discussed.

3.1.1. Short hairpin (shRNA) expression plasmid and virus

With the understanding of miRNA biogenesis (Fig. 3), small RNA expression systems have been established using DNA plasmids or virus vectors (Fig. 3A). In particular, the DNA sequence encoding either a pre-miRNA (or pre-miRNA like shRNA) or siRNA duplex connected by a small, 4- to 29-nt loop (shRNA) is cloned into target plasmid or virus vectors driven by an RNA pol III or II promoter, predominantly pol III promoter (e.g., H1 or U6). Early studies directly employed the natural pre-miRNA sequences, and target miRNAs were proved to be effectively expressed to regulate target genes [115, 116]. Further studies demonstrated that pre-miRNA-coding sequences with flanking sequences from the pri-miRNAs would notably improve the performance of target miRNAs, which has become a common way to design miRNA expressing-plasmids or virus vectors [117, 118]. The shRNA is usually designed as a simple stem-loop structure consisting of a 19- to 29-nt, perfectly matched duplex connected by a small loop [118, 119]. Furthermore, shRNAs are also designed by using natural pre-miRNA and/or pri-miRNA, through which the shRNAs maintain the structural characteristics of natural miRNAs, including the flanking sequences, loops, stems, and bulges of pre-miRNAs. Interestingly, it was reported that the siRNA duplex embedded in a natural miRNA expression scaffold showed comparable gene silencing effects with mitigated toxicity as simple stem-loop shRNA carrying the same siRNA sequence [117, 120, 121].

The shRNA-expressing plasmids are transfected into the target cells using transfection reagents, while the viruses could directly infect target cells after being packaged with host cells. The plasmid DNA and DNA reversely transcribed from virus RNA could be integrated into the genome of host cells (Fig. 3A) to achieve expression of target miRNA or siRNA by following the miRNA biogenesis pathways (Fig. 3). Plasmids are suitable for cell lines with high transfection efficiency, while virus infection is a viable transgenic method for cell types that are hard to be transfected, such as primary cells and suspension cells. While the use of the stable shRNA-expressing cell line is to the benefit of experiment reproducibility, avoiding multiple rounds of experiments, the establishment of stable cell lines is time-consuming, and unexpected changes might occur in the established cell models. It is also possible that the introduced exogenous genes could be lost after multiple passages. Therefore, it is necessary to frequently monitor the levels of target small RNA and its target genes. Because the long-lasting gene knockdown is sometimes not desired as it may lead to side effects, some inducible shRNA-encoding plasmids or virus systems have been developed accordingly [118, 122]. However, the plasmids and viruses are not “true” RNA agents, and the small RNA levels and regulatory effects highly depend on the transfection and integration efficacy as well as biogenesis in the host cells. Therefore, the actual levels or doses of target small RNAs are largely variable.

3.1.2. Synthetic RNA agents

Synthetic RNA analogs (Fig. 3B) produced by chemical synthesis or in vitro transcription are the most widely used RNAi agents. Phosphoramidite-based, solid-phase chemical synthesis has been developed as a common and automatic method for the production of target RNA agents that could also accommodate a variety of chemical modifications [123]. RNAs are synthesized by the repetitive addition of individual nucleosides on the solid support through the sequential deprotection, coupling, capping, and oxidation (if phosphite is the activated phosphorous ester) steps [123]. In addition, protective groups such as triisopropylsilyloxymethyl (TOM), bis(2-acetoxyethoxy) methyl orthoester (ACE) have been developed and introduced in the synthesis system to protect the 2’-hydroxy group of oligoribonucleotides. After desired number and order of nucleoside addition cycles, the reaction is terminated, followed by the RNA cleavage from the solid support and removal of base protecting groups. The synthetic products may be purified by high-performance liquid chromatography (HPLC) to obtain ready-to-use RNAs with high purity. Furthermore, the internucleotide bonds can be modified in several forms, among which phosphoramidite is the most commonly used [123, 124]. To obtain better physicochemical and PK properties such as higher metabolic stability and longer half-life, various chemical modifications are also commonly introduced into the ribose or nucleobases of target RNA reagents.

Fire et al. first found that small RNAs synthesized biochemically with T3 and T7 polymerase could be used to achieve effective RNA interference [29]. Another study showed that siRNAs and shRNAs synthesized by T7 RNA polymerase were effective to silence target genes [125]. Both studies suggest that RNAi reagents produced by in vitro transcription serve as alternatives to chemically synthesized RNA materials. Indeed, in vitro transcription is a widely used enzymatic method for the production of single-stranded RNAs (ssRNAs). Transcription is carried out by using an RNA polymerase (e.g., T7 RNA polymerase) and a DNA template with a corresponding promoter. The yield of target RNAs relies mainly on the activity and reliability of the polymerase and subsequent purification steps. In vivo transcription represents a simple and versatile method as various types of RNA agents in variable lengths can be produced with ease. However, previous studies have shown that the in vitro transcription fidelity is template-dependent, and mutations or unexpected nucleotides at 3′ or 5′ ends may be introduced into the products [126, 127]. In addition, recombinant Dicer could be used to process single- or double-stranded RNAs, produced by chemical synthesis, in vitro transcription, or other means, to offer the desired siRNA or miRNA reagents.

With the advantage of incorporating specific chemical modifications, synthetic RNAs produced by in vitro transcription and chemical synthesis generally lack natural posttranscriptional modifications that are largely present on nucleobases [127129]. In addition, artificial modifications introduced in the synthetic agents may increase the risk of side effects, such as immunogenicity. Synthetic RNA reagents are often delivered into cells (Fig. 3B) by using various kinds of commercial transfection reagents to induce transient or short-term gene silencing that unlikely triggers any feedback or adaptive effects in the stably expressed systems. On the other hand, a sharp increase in cytosol miRNA/siRNA level within a short period of time might cause off-target effects, and appropriate controls should be included to properly interpret the observations. Similar to plasmid materials, the effectiveness of synthetic RNAs is also dependent upon the transfection efficiency or intracellular uptake [122, 127, 130].

4. NOVEL RNA BIOENGINEERING TECHNOLOGIES

Inspired by the development of recombinant protein production technologies and the applications of bioengineered proteins to structural and functional studies as well as protein drug development, considerable efforts have been made to create recombinant RNA or RNA bioengineering technologies (see reviews [33, 127, 129, 131]). To overcome the degradation by host RNases and achieve high-level expression of desired biologic RNA agents (Fig. 3C) by live cell fermentation, two major approaches have been established for RNA bioengineering. One is to use specific RNAs with relatively compact and stable structures, such as 5S ribosomal RNA (rRNA) [132], transfer RNA (tRNA) [133, 134], hybrid tRNA/pre-miRNA[135, 136], and circular RNAs [137], as scaffolds or carriers to accommodate the payload RNAs. The other approach is to use host cells with deficient RNases [138, 139]. As the latter has a limited number of examples, this review is limited to the discussion of the RNA carrier approach.

4.1. Ribosomal RNA scaffold

Ribosomal RNAs are key components of ribosomes, and rRNAs are the most abundant RNA species in eukaryotes (around 60% of total RNAs) and prokaryotes (over 90%). Bacterial rRNAs are comprised of three kinds of rRNAs 16S, 23S, and 5S [140]. Two consecutive studies from one research group showed that the so-called “tagged RNA molecules”, which were constructed by a 17-nucleotide sequence embedded into the 5S rRNA of Vibrio proteolyticus or Pseudomonas putida, could be stably expressed and accumulated to relatively high levels [141, 142]. Building on these findings, the 5S rRNA was developed as a carrier to accommodate multiple kinds of RNAs, including 13-nt or 50-nt random sequences, vascular endothelial growth factor (VEGF) aptamer, malachite green (MG) aptamer, all of which were highly expressed and showed some binding activities [132, 143, 144]. One optimal 5S rRNA-based recombinant RNA system is to insert the RNA sequence of interest (with DNAzyme-specific sequences) into stem II, thereby completely substituting the stem III - loop C region of 5S rRNA. The recombinant RNA is thought to retain the overall 5S rRNA structure and be recognized DNAzymes. E. coli ribosomal promoters P1 and P2 as well as T1 and T2 transcription terminators were used in those studies. After transformation and overexpression, target RNA was purified by using preparative polyacrylamide gel electrophoresis (PAGE) [144]. It was reported that several milligrams of pure RNAs could be produced from one gram of bacteria. While representing a potential way to produce RNAi agents, the reliability of the rRNA scaffold and the application of resulting RNAs are less explored.

4.2. Transfer RNA scaffold

Transfer RNAs are another class of abundant RNAs in cells, with simple and stable structures. The earliest reports of successful overexpression of tRNA species in vivo were published in the 1980s [145, 146]. Later, Ponchon et al. described the development and application of tRNA as a scaffold for the production of recombinant RNAs through bacterial fermentation [133, 134, 147]. Specifically, the RNA of interest is inserted into the tRNA by replacing the 3-nt anticodon region of the original tRNA. The resulting construct maintains the TΨC and D loops, as well as the cloverleaf structure of natural tRNA. It is speculated the recombinant RNA could be recognized as natural tRNA by the host cells, thereby circumventing the RNase-mediated slicing, and being accumulated to significant levels in bacterial cells. The expression vector of the recombinant RNA is composed of a lipoprotein (lpp) gene promotor or T7 promoter, the coding sequence of the recombinant RNA, followed by a ribosomal RNA operon transcription terminator, and an ampicillin resistance tag. The tRNA scaffold has been employed to express various kinds of target RNAs, for instance, an epsilon sequence of human hepatitis B virus (HBV), Aquifex aeolicus tmRNA domain, E. coli 16S ribosomal RNA decoding site, MG aptamer, Sephadex aptamer, hammerhead ribozymes, pre-miRNAs, and co-expressed RNA–protein complexes [133, 134, 148152]. The recombinant RNAs could be purified by different methods, such as filtration, anion exchange, or affinity chromatography, to obtain up to tens of milligrams of pure RNAs. The desired RNAs could be released by RNase, ribozyme, or DNAzyme, or used directly for structural or functional studies. Although tRNA scaffold has emerged as a promising approach, the expression levels of recombinant RNAs have been revealed to largely depend upon the structures/sequences of the recombinant RNAs themselves [135, 148, 150].

4.3. Hybrid, tRNA fused pre-miRNA (tRNA/pre-miRNA) carrier

We initially intended to use the tRNA scaffold to produce pre-miRNAs for ADME and efficacy studies [148, 150], and unexpected results led to the establishment of a novel, robust and versatile tRNA/pre-miRNA carrier-based platform technology (Fig. 4) [135, 136, 153]. After successfully constructing a set of pre-miRNA-expressing plasmids using a bacterial methionyl-tRNA scaffold, we surprisingly found that levels of recombinant tRNA/pre-miRNAs varied widely in bacteria, and most of them were not or minimally expressed and accumulated, and tRNA itself could not be overexpressed at all [135, 136]. Nevertheless, a few chimeras, such as tRNA/pre-miR-34a and tRNA/pre-miR-1291, were expressed at relatively high levels, which triggered us to directly utilize the high-expressing tRNA/pre-miR-34a or other pre-miRNA as a novel carrier to produce biologic RNAi molecules. Specifically, the small RNA of interest is incorporated into the tRNA/pre-miR-34a carrier by substituting the miR-34a duplex. Indeed, the tRNA/pre-miR-34a carrier provided a high-level expression of target miRNA and siRNA agents which accounted for > 10% of the total bacterial RNA. In addition, the tRNA/pre-miRNA carrier can accommodate many other forms of small single-stranded RNAs such as aptamers, although the overall success rate for all tested RNAs was around 30% [135, 136]. Thus, the tRNA/pre-miR-34a scaffold was further optimized by refining the pre-miR-34a sequence towards a more stable structure with fewer bulges. The optimized tRNA/pre-miR-34a carrier was superior to the first generation of tRNA/pre-miRNA carrier, offering much greater expression levels (> 30% of target RNA in total bacterial RNA) and a > 80% success rate for 42 designed recombinant RNAs [136]. Further identification of proper human tRNAs led to the establishment of third-generation, fully-humanized tRNA/pre-miRNA carriers that are more biocompatible with human cells for functional and therapeutic studies while retaining the expression levels and increasing success rate to about 100% [153].

Fig. (4).

Fig. (4).

Schematic illustration of the novel tRNA/pre-miRNA carrier-based RNA bioengineering platform technology. (A) Target recombinant RNA or bioengineered RNA (BioRNA) is designed using a tRNA/pre-miRNA carrier with payload miRNA or siRNA or other small RNA. (B) The coding sequence of the BioRNA is cloned into a target vector to offer the BioRNA-expressing plasmid. (C) The plasmids are transformed into E. coli to express the BioRNAs through overnight fermentation. (D) Overexpression of the target RNA is readily verified by urea polyacrylamide gel electrophoresis (PAGE) analysis. The strong extra band shown at the expected size in the BioRNA expressing sample, as compared to the wild-type E. coli sample, indicates the successful high-level expression of target BioRNA. (E) Target BioRNA is separated from the total bacterial RNA by an anion-exchange fast protein liquid chromatography (FPLC) method. (F) The purity of the final BioRNA product is further quantified by high-performance liquid chromatography (HPLC) analysis. BioRNAs with high homogeneity (> 97%) can be used for further studies.

The tRNA/pre-miRNA carrier is also characterized by its flexibility to accommodate almost all kinds of small RNAs with variable lengths. Besides replacing the miRNA duplex, the payload small RNAs could also be inserted at specific locations of the pre-miRNA, including the 5’ or 3’ end [127]. Following construct design (Fig. 4), the coding sequence of BioRNA is cloned into the target vector consisting of a proper promoter. After sequencing confirmation, the BioRNA-expressing plasmid is transformed into E. coli for fermentation production. Subsequently, total RNAs are extracted and separated by urea PAGE to validate the overexpression of target BioRNA, as indicated by the appearance of an extra strong band at the expected size compared to the wild-type bacteria (Fig. 4). An anion-exchange fast protein liquid chromatography (FPLC) method has further developed and optimized to separate the BioRNA from the total RNAs with high yields [149, 153]. Fractions of target RNA are collected, combined, and concentrated to offer pure RNA. The quality of the final product is further validated by high-performance liquid chromatography (HPLC) analysis (Fig. 4), and BioRNAs showing high purity (> 97%) are ready for further studies [154]. This tRNA/pre-miRNA-based RNA bioengineering technology has been proven as the most robust approach to achieve a consistent, high-yield, and large-scale production (tens of milligrams per liter of culture) of small RNA-loaded BioRNAs which are a novel class of true biologic RNAs for research and development [32, 33, 128, 129].

5. APPLICATIONS OF BIORNAS TO ADME RESEARCH

Mass spectrometry (MS)-based sequencing/mapping analyses of the BioRNAs revealed that such RNAs consist of a minimal number of natural post-transcriptional modifications [135, 148]. Deep sequencing studies showed that BioRNAs are readily processed to target miRNAs in a Dicer- dependent or independent manner after being introduced into human cells [136]. Functional studies further demonstrated that BioRNAs are active in regulating target gene expression and managing tumor progression and metastasis [136, 153, 155157]. Herein, we focus on the discussion of the modulation of ADME gene expression by BioRNAs (Table 1).

Table 1.

Recombinant small RNA agents shown to modulate ADME gene expression and alter DMPK.

Small RNA ADME gene Effects References
miR-27b-3p VDR Downregulates VDR mRNA and protein in LS180 cell line [150, 158]
CYP3A4 Downregulates CYP3A4 mRNA and protein expression and the subsequent metabolic activity in LS180 cell line [150, 158]
miR-1291-5p ABCC1 Downregulates MRP1/ABCC1 protein expression in PC cells and sensitizes the cells to doxorubicin treatment [148]
ASS1 (indirect) Downregulates ASS1 protein expression in PC cells and suppresses arginine synthesis in ASS1 highly expressed PC cells [163]
GLUT1 Downregulates GLUT1 protein expression and suppresses glucose uptake and glycolysis in PC cells [163]
miR-328-3p ABCG2 Downregulates ABCG2 mRNA and protein expression and increases intracellular accumulation of mitoxantrone [158]
LAT1 Downregulates LAT1 protein expression in OS cells [166]
GLUT1 Downregulates GLUT1 protein expression and suppresses glucose uptake and glycolysis in OS cells [166]
let-7c-5p ABCC5 ABCC4 Downregulates MRP5/ABCC5 protein expression to increase intracellular level of 5-Fu in HCC cells.
Downregulate MRP4/ABCC4 protein level slightly.
[167]
miR-124-3p ABCC4 Downregulates MRP4/ABCC5 protein expression in A549 cells [136]
MCT1 Downregulates MCT1 protein expression in OS cells [153]
miR-34a-5p CYPs Showed minor or no effects on the PK of co-administered CYP substrate drugs in mice [161]
NRF2-siRNA NRF2 The siRNA effectively suppresses NRF mRNA and protein expression, and subsequently decreases ABCC3/4 and ABCG2 mRNA levels to sensitize OS cells to chemotherapeutic drugs [168]

5.1. Recombinant RNAs for drug metabolism studies

The first use of recombinant miRNA to modulate drug-metabolizing enzyme was published in 2014 [150]. It only involved a tRNA scaffold, and the tRNA fused pre-miR-27b was expressed at a low level (around 0.5 mg per liter of culture). After the purified tRNA/pre-miR-27b was introduced into human cells, mature miR-27b was released in a dose- and time-dependent manner. The functional study showed that BioRNA/miR-27b effectively suppressed both mRNA and protein levels of CYPA3A4 and the protein of VDR, and consequently inhibited the enzymatic activity of CYP3A4, as indicated by midazolam 1’-hydrolation metabolism. In addition, another recombinant miR-27b produced at a much higher yield by using the first generation of tRNA/pre-miR-34a carrier had similar regulatory effects on CYP3A4 and drug-metabolizing activity [158], demonstrating that BioRNAs are effective to modulate target P450 gene expression.

Previous studies have suggested that miR-34a directly targets RXRα and HNF4α, two NRs involved in P450 regulation, which might contribute to the observed negative correlation between miR-34a and CYP3A4 as well as CYP2C19 [106, 159, 160]. Therefore, BioRNA/miR-34a was utilized to determine the impact of miR-34a on the PK of P450 probe drugs in mouse models in vivo [161]. The results indicated that recombinant miR-34a slightly increased systemic exposure to midazolam, phenacetin, and dextromethorphan in mice [161]. This study exemplifies the utility of BioRNAs for in vivo studies on the potential influence of miRNAs on ADME gene expression and most importantly, the evaluation of possible interactions between therapeutic miRNAs or siRNAs and co-administered drugs.

5.2. Recombinant RNAs in the modulation of drug transporters

There are also many reports on the application of BioRNAs to modulate drug transporter gene expression and functional consequences. MiR-1291–5p has been disclosed to target ABCC1, an important efflux transporter in MDR [89]. Following expression and purification, BioRNA/miR-1291 was utilized to investigate the role of miR-1291–5p in ABCC1 protein expression and drug resistance [148]. The results demonstrated that recombinant miR-1291–5p sensitized PANC-1 cells to doxorubicin via downregulating ABCC1 protein levels, supporting the role of miR-1291–5p in ADME and indicating the possible use of miRNA to overcome MDR. Furthermore, glucose transporter protein type 1 (GLUT1/SLC2A1) has been validated as a direct target for miR-1291–5p [162]. Our recent study verified the suppression of GLUT1 protein expression by BioRNA/miR-1291–5p in human carcinoma cells and subsequently, changes of intracellular glucose uptake and glycolysis capacity [163]. Moreover, a rate-limiting enzyme in arginine synthesis, argininosuccinate synthase (ASS1), was shown to be downregulated by miR-1291–5p, despite that the exact mechanism is unknown. By inhibiting GLUT1 and ASS1, the BioRNA/miR-1291 treatment sensitized pancreatic cancer (PC) cells to chemotherapy and arginine deprivation therapy [163]. These results from studies with BioRNA/miR-1291 indicate that miR-1291 may play an important role in the regulation of drug transport as well as nutrient metabolism and transport critical for cancer metabolism.

MiR-328–3p is another miRNA that has been shown to regulate several drug and nutrient transporters such as ABCG2 [164], GLUT1 [165], and large neutral amino acid transporter 1 (LAT1/SLC7A5) [166]. Li et al. verified the suppressive effect of miR-328–3p on ABCG2 expression by using BioRNA/miR-328–3p [158]. Comprehensive studies showed that BioRNA/miR-328–3p was selectively processed into mature miR-328–3p in breast cancer cells, resulting in a reduction of ABCG2 protein levels. This led to a greater intracellular accumulation of mitoxantrone, thereby enhancing the sensitivity of cancer cells to mitoxantrone [158]. Furthermore, a most recent study using BioRNA/miR-328 verified two direct targets for miR-328–3p, GLUT1 and LAT1 [166]. In silico analyses predicted MREs for miR-328–3p in the 3’UTR of SLC2A1 and SLC7A5, and the subsequent luciferase reporter studies supported the interactions between miR-328–3p with 3’UTRs of SLC2A1 and SLC7A5. Interestingly, while BioRNA/miR-328–3p reduced LAT1 protein levels in cells, it did not change the overall amino acid profiles that may be controlled by multiple factors. By contrast, the repression of GLUT1 protein levels by BioRNA/miR-328–3p resulted in lower cellular glucose uptake and glycolysis [166]. As a result, combination treatment with BioRNA/miR-328 and cisplatin or doxorubicin exhibited synergistic anti-proliferative activities against osteosarcoma (OS) cells. In addition, BioRNA/let-7c-5p was used to effectively repress the protein levels of ABCC5 and ABCC4, which contributed to its synergistic effects with 5-FU in the inhibition of cancer cell viability [167], and the use of BioRNA/miR-124–3p also validated the roles of miR-124–3p in the regulation of ABCC4 and MCT1 [136, 153].

5.3. Recombinant RNAs for the modulation of regulators

Besides miRNA agents, many siRNAs have been produced by using the tRNA/pre-miRNA carriers towards the selective silencing of target genes [135, 168]. The nuclear factor erythroid 2-related factor 2 (NRF2) is a TF involved in the regulation of some efflux transporters and oxidative enzymes. Thus, activation/overexpression of NRF2 is also recognized as a tumor protective mechanism. A recombinant siRNA targeting NFR2, namely BioRNA/NRF2-siRNA, was thus designed and produced by using the tRNA/pre-miR-34a carrier [168]. NRF2 mRNA and protein were both suppressed significantly by BioRNA/NRF-siRNA, leading to attenuation of NRF2-activited oxidative enzymes and the elevation of reactive oxygen species. Moreover, BioRNA/NRF-siRNA increased the sensitivity of osteosarcoma cells to chemotherapeutic drugs, doxorubicin, cisplatin, and sorafenib, which could be explained, at least partially, by the downregulation of NRF2-controlled efflux transporters, ABCC3, ABCC4, and ABCG2 [168]. These findings support the utility of BioRNAs in studying post-transcriptional gene regulation in ADME and offer insights into developing new therapeutic strategies including the use of bioengineered RNA molecules.

6. CONCLUSIONS AND PERSPECTIVES

In summary, the miRNA-controlled post-transcriptional gene regulation has been revealed as another important mechanism underlying broad interindividual variations of drug-metabolizing enzyme and transporter expression and activity under different physiological, pathological, and environmental conditions. The miRNAs are an addition to transcription factors and nuclear receptors as well as other epigenetic factors to form a complex network that coordinates the regulation of ADME gene expression. Alterations of protein outcomes of drug-metabolizing enzymes and/or transporters by regulatory miRNAs may change the ADME of relevant drugs and thus influence drug efficacy. Nevertheless, as most studies are based on in vitro models focusing on specific pathways, more in vivo studies and disease-relevant conditions with comprehensive analyses of the overall ADME/PK properties are highly warranted to increase the depth of current knowledge on the roles of miRNAs in the regulation of ADME/PK. Moreover, additional efforts are expected to bridge the gap between mechanistic studies and experimental therapeutics, such as drug efficacy and safety, to advance the understanding of the clinical importance of miRNAs. With the disclosure of miRNA functions in modulating MDR and nutrient transporter protein outcomes, opportunities arise to develop new and more effective therapeutic strategies. On the other hand, dysregulated miRNAs might serve as biomarkers for the evaluation of ADME/PK or drug efficacy.

Groundbreaking advances have been made in the production of RNA agents for ADME research. Synthetic RNAs and plasmid or virus-based vectors are two major forms of conventional materials being used for studying miRNA functions and RNAi research. However, the former are RNA analogs synthesized in vitro with extensive chemical modifications that may exhibit distinct biological activities and safety profiles, and the latter are DNA-based reagents that rely on efficient transcription in host cells. It is also unknown how chemical modifications would influence the unwinding of miRNA or siRNA duplex, stability of the passenger or sense strand, and selectivity, efficacy, and off-target effects of the guide or antisense strand. In addition, many previous reports did not even specify the functional strand of the studied miRNA, and almost all studies did not disclose the exact chemical modifications of the RNAi agents used. Thus, recombinant RNA technologies have been developed to produce true biologic RNA agents to better recapitulate the properties and functions of natural RNAs. Among them, the tRNA/pre-miRNA carrier-based technology is the most reliable to successfully produce target BioRNAs consisting of payload small RNAs. Studies have demonstrated a precise release of payload miRNAs, either 5p or 3p, from the pre-miR-34a carrier, confirming the predominant, functional strand of interest. Research with unparalleled BioRNAs has further advanced the understanding of miRNA pathways and their significance in ADME. Such BioRNAs produced in live cells have emerged as a novel class of biologic RNA molecules for studying miRNA regulatory mechanisms, gene functions, and new therapeutic approaches.

ACKNOWLEDGEMENTS

This study was supported by grants from the National Cancer Institute (R01CA225958 and R01CA253230) and National Institute of General Medical Sciences (R35GM140835), National Institutes of Health.

Footnotes

CONFLICT OF INTEREST

The authors are named inventors of issued and pending patents related to RNA bioengineering technology and use that are owned by the University of California, Davis; and Dr. Yu is a founder of AimRNA, Inc. that intends to license the intellectual property.

REFERENCES

  • [1].Li AP, Screening for human ADME/Tox drug properties in drug discovery, Drug discovery today, 6 (2001) 357–366. [DOI] [PubMed] [Google Scholar]
  • [2].Storelli F, Yin M, Kumar AR, Ladumor MK, Evers R, Chothe PP, Enogieru OJ, Liang X, Lai Y, Unadkat JD, The next frontier in ADME science: Predicting transporter-based drug disposition, tissue concentrations and drug-drug interactions in humans, Pharmacology & Therapeutics, 238 (2022) 108271. [DOI] [PubMed] [Google Scholar]
  • [3].Lai Y, Chu X, Di L, Gao W, Guo Y, Liu X, Lu C, Mao J, Shen H, Tang H, Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development, Acta Pharmaceutica Sinica B, 12 (2022) 2751–2777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].DeGorter M, Xia C, Yang J, Kim R, Drug transporters in drug efficacy and toxicity, Annual review of pharmacology and toxicology, 52 (2012) 249–273. [DOI] [PubMed] [Google Scholar]
  • [5].Li Y, Meng Q, Yang M, Liu D, Hou X, Tang L, Wang X, Lyu Y, Chen X, Liu K, Current trends in drug metabolism and pharmacokinetics, Acta Pharmaceutica Sinica B, 9 (2019) 1113–1144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Brouwer KL, Evers R, Hayden E, Hu S, Li CY, Meyer zu Schwabedissen HE, Neuhoff S, Oswald S, Piquette‐Miller M, Saran C, Regulation of Drug Transport Proteins—From Mechanisms to Clinical Impact: A White Paper on Behalf of the International Transporter Consortium, Clinical Pharmacology & Therapeutics, 112 (2022) 461–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Zanger UM, Schwab M, Cytochrome P450 enzymes in drug metabolism: Regulation of gene expression, enzyme activities, and impact of genetic variation, Pharmacology & Therapeutics, 138 (2013) 103–141. [DOI] [PubMed] [Google Scholar]
  • [8].Zhou S-F, Liu J-P, Chowbay B, Polymorphism of human cytochrome P450 enzymes and its clinical impact, Drug metabolism reviews, 41 (2009) 89–295. [DOI] [PubMed] [Google Scholar]
  • [9].Honkakoski P, Negishi M, Regulation of cytochrome P450 (CYP) genes by nuclear receptors, Biochemical Journal, 347 (2000) 321–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Evans RM, Mangelsdorf DJ, Nuclear receptors, RXR, and the big bang, Cell, 157 (2014) 255–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11].Czuba LC, Hillgren KM, Swaan PW, Post-translational modifications of transporters, Pharmacology & therapeutics, 192 (2018) 88–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Ritacco I, Spinello A, Ippoliti E, Magistrato A, Post-translational regulation of CYP450s metabolism as revealed by all-atoms simulations of the aromatase enzyme, Journal of chemical information and modeling, 59 (2019) 2930–2940. [DOI] [PubMed] [Google Scholar]
  • [13].Evers R, Piquette‐Miller M, Polli JW, Russel FG, Sprowl JA, Tohyama K, Ware JA, de Wildt SN, Xie W, Brouwer KL, Disease‐associated changes in drug transporters may impact the pharmacokinetics and/or toxicity of drugs: a white paper from the International Transporter Consortium, Clinical Pharmacology & Therapeutics, 104 (2018) 900–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Giacomini KM, Huang SM, Tweedie DJ, Benet LZ, Brouwer KL, Chu X, Dahlin A, Evers R, Fischer V, Hillgren KM, Hoffmaster KA, Ishikawa T, Keppler D, Kim RB, Lee CA, Niemi M, Polli JW, Sugiyama Y, Swaan PW, Ware JA, Wright SH, Yee SW, Zamek-Gliszczynski MJ, Zhang L, Membrane transporters in drug development, Nat Rev Drug Discov, 9 (2010) 215–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Bachmann K, Chapter 12 - Drug–Drug Interactions with an Emphasis on Drug Metabolism and Transport, in: Hacker M, Messer W, Bachmann K (Eds.) Pharmacology, Academic Press, San Diego, 2009, pp. 303–325. [Google Scholar]
  • [16].Hao X, Li Y, Bian J, Zhang Y, He S, Yu F, Feng Y, Huang L, Impact of DNA methylation on ADME gene expression, drug disposition, and efficacy, Drug Metabolism Reviews, 54 (2022) 194–206. [DOI] [PubMed] [Google Scholar]
  • [17].Zhou S, Shu Y, Transcriptional Regulation of Solute Carrier Drug Transporters, Drug Metabolism and Disposition, 50 (2022) 1238–1250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Ning B, Yu D, Yu A-M, Advances and challenges in studying noncoding RNA regulation of drug metabolism and development of RNA therapeutics, Biochemical pharmacology, 169 (2019) 113638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19].Wang J, Yu L, Jiang H, Zheng X, Zeng S, Epigenetic regulation of differentially expressed drug-metabolizing enzymes in cancer, Drug Metabolism and Disposition, 48 (2020) 759–768. [DOI] [PubMed] [Google Scholar]
  • [20].Nakano M, Nakajima M, Current knowledge of microRNA-mediated regulation of drug metabolism in humans, Expert opinion on drug metabolism & toxicology, 14 (2018) 493–504. [DOI] [PubMed] [Google Scholar]
  • [21].Li D, Tolleson WH, Yu D, Chen S, Guo L, Xiao W, Tong W, Ning B, MicroRNA-dependent gene regulation of the human cytochrome P450, Pharmacoepigenetics, Elsevier; 2019, pp. 129–138. [Google Scholar]
  • [22].Bartel DP, MicroRNAs: Genomics, Biogenesis, Mechanism, and Function, Cell, 116 (2004) 281–297. [DOI] [PubMed] [Google Scholar]
  • [23].Lee RC, Feinbaum RL, Ambros V, The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14, cell, 75 (1993) 843–854. [DOI] [PubMed] [Google Scholar]
  • [24].Wightman B, Ha I, Ruvkun G, Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans, Cell, 75 (1993) 855–862. [DOI] [PubMed] [Google Scholar]
  • [25].Alles J, Fehlmann T, Fischer U, Backes C, Galata V, Minet M, Hart M, Abu-Halima M, Grässer FA, Lenhof H-P, Keller A, Meese E, An estimate of the total number of true human miRNAs, Nucleic Acids Research, 47 (2019) 3353–3364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Yu A-M, Tian Y, Tu M-J, Ho PY, Jilek JL, MicroRNA pharmacoepigenetics: posttranscriptional regulation mechanisms behind variable drug disposition and strategy to develop more effective therapy, Drug Metabolism and Disposition, 44 (2016) 308–319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27].Si W, Shen J, Zheng H, Fan W, The role and mechanisms of action of microRNAs in cancer drug resistance, Clinical epigenetics, 11 (2019) 1–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Fire A, Albertson D, Harrison SW, Moerman DG, Production of antisense RNA leads to effective and specific inhibition of gene expression in C. elegans muscle, Development, 113 (1991) 503–514. [DOI] [PubMed] [Google Scholar]
  • [29].Fire A, Xu S, Montgomery MK, Kostas SA, Driver SE, Mello CC, Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans, nature, 391 (1998) 806–811. [DOI] [PubMed] [Google Scholar]
  • [30].Bernstein E, Caudy AA, Hammond SM, Hannon GJ, Role for a bidentate ribonuclease in the initiation step of RNA interference, Nature, 409 (2001) 363–366. [DOI] [PubMed] [Google Scholar]
  • [31].Tang G, siRNA and miRNA: an insight into RISCs, Trends in biochemical sciences, 30 (2005) 106–114. [DOI] [PubMed] [Google Scholar]
  • [32].Yu A-M, Tu M-J, Deliver the promise: RNAs as a new class of molecular entities for therapy and vaccination, Pharmacology & Therapeutics, 230 (2022) 107967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].Traber GM, Yu AM, RNAi-Based Therapeutics and Novel RNA Bioengineering Technologies, The Journal of pharmacology and experimental therapeutics, 384 (2023) 133–154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Yu A-M, Pan Y-Z, Noncoding microRNAs: small RNAs play a big role in regulation of ADME?, Acta Pharmaceutica Sinica B, 2 (2012) 93–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [35].Lee Y, Kim M, Han J, Yeom KH, Lee S, Baek SH, Kim VN, MicroRNA genes are transcribed by RNA polymerase II, The EMBO journal, 23 (2004) 4051–4060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Cai X, Hagedorn CH, Cullen BR, Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs, Rna, 10 (2004) 1957–1966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [37].Borchert GM, Lanier W, Davidson BL, RNA polymerase III transcribes human microRNAs, Nature structural & molecular biology, 13 (2006) 1097–1101. [DOI] [PubMed] [Google Scholar]
  • [38].Bushati N, Cohen SM, microRNA functions, Annu. Rev. Cell Dev. Biol, 23 (2007) 175–205. [DOI] [PubMed] [Google Scholar]
  • [39].Kim VN, MicroRNA biogenesis: coordinated cropping and dicing, Nature Reviews Molecular Cell Biology, 6 (2005) 376–385. [DOI] [PubMed] [Google Scholar]
  • [40].Lee Y, Ahn C, Han J, Choi H, Kim J, Yim J, Lee J, Provost P, Rådmark O, Kim S, Kim VN, The nuclear RNase III Drosha initiates microRNA processing, Nature, 425 (2003) 415–419. [DOI] [PubMed] [Google Scholar]
  • [41].Denli AM, Tops BB, Plasterk RH, Ketting RF, Hannon GJ, Processing of primary microRNAs by the Microprocessor complex, Nature, 432 (2004) 231–235. [DOI] [PubMed] [Google Scholar]
  • [42].Han J, Lee Y, Yeom K-H, Kim Y-K, Jin H, Kim VN, The Drosha-DGCR8 complex in primary microRNA processing, Genes & development, 18 (2004) 3016–3027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [43].Lund E, Guttinger S, Calado A, Dahlberg JE, Kutay U, Nuclear export of microRNA precursors, science, 303 (2004) 95–98. [DOI] [PubMed] [Google Scholar]
  • [44].Chendrimada TP, Gregory RI, Kumaraswamy E, Norman J, Cooch N, Nishikura K, Shiekhattar R, TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing, Nature, 436 (2005) 740–744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [45].Haase AD, Jaskiewicz L, Zhang H, Lainé S, Sack R, Gatignol A, Filipowicz W, TRBP, a regulator of cellular PKR and HIV‐1 virus expression, interacts with Dicer and functions in RNA silencing, EMBO reports, 6 (2005) 961–967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [46].Lee Y, Hur I, Park SY, Kim YK, Suh MR, Kim VN, The role of PACT in the RNA silencing pathway, The EMBO journal, 25 (2006) 522–532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [47].Winter J, Jung S, Keller S, Gregory RI, Diederichs S, Many roads to maturity: microRNA biogenesis pathways and their regulation, Nature Cell Biology, 11 (2009) 228–234. [DOI] [PubMed] [Google Scholar]
  • [48].Ha M, Kim VN, Regulation of microRNA biogenesis, Nature Reviews Molecular Cell Biology, 15 (2014) 509–524. [DOI] [PubMed] [Google Scholar]
  • [49].Meister G, Landthaler M, Patkaniowska A, Dorsett Y, Teng G, Tuschl T, Human Argonaute2 mediates RNA cleavage targeted by miRNAs and siRNAs, Molecular cell, 15 (2004) 185–197. [DOI] [PubMed] [Google Scholar]
  • [50].Mourelatos Z, Dostie J, Paushkin S, Sharma A, Charroux B, Abel L, Rappsilber J, Mann M, Dreyfuss G, miRNPs: a novel class of ribonucleoproteins containing numerous microRNAs, Genes & development, 16 (2002) 720–728. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [51].Kawamata T, Tomari Y, Making RISC, Trends in Biochemical Sciences, 35 (2010) 368–376. [DOI] [PubMed] [Google Scholar]
  • [52].Hutvagner G, Zamore PD, A microRNA in a multiple-turnover RNAi enzyme complex, Science, 297 (2002) 2056–2060. [DOI] [PubMed] [Google Scholar]
  • [53].Liu J, Carmell MA, Rivas FV, Marsden CG, Thomson JM, Song J-J, Hammond SM, Joshua-Tor L, Hannon GJ, Argonaute2 is the catalytic engine of mammalian RNAi, Science, 305 (2004) 1437–1441. [DOI] [PubMed] [Google Scholar]
  • [54].Pillai RS, Artus CG, Filipowicz W, Tethering of human Ago proteins to mRNA mimics the miRNA-mediated repression of protein synthesis, Rna, 10 (2004) 1518–1525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [55].Eulalio A, Huntzinger E, Izaurralde E, Getting to the root of miRNA-mediated gene silencing, Cell, 132 (2008) 9–14. [DOI] [PubMed] [Google Scholar]
  • [56].Hutvagner G, Simard MJ, Argonaute proteins: key players in RNA silencing, Nature Reviews Molecular Cell Biology, 9 (2008) 22–32. [DOI] [PubMed] [Google Scholar]
  • [57].Martinez J, Tuschl T, RISC is a 5′ phosphomonoester-producing RNA endonuclease, Genes & development, 18 (2004) 975–980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [58].Behm-Ansmant I, Rehwinkel J, Doerks T, Stark A, Bork P, Izaurralde E, mRNA degradation by miRNAs and GW182 requires both CCR4: NOT deadenylase and DCP1: DCP2 decapping complexes, Genes & development, 20 (2006) 1885–1898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [59].Selbach M, Schwanhäusser B, Thierfelder N, Fang Z, Khanin R, Rajewsky N, Widespread changes in protein synthesis induced by microRNAs, nature, 455 (2008) 58–63. [DOI] [PubMed] [Google Scholar]
  • [60].Baek D, Villén J, Shin C, Camargo FD, Gygi SP, Bartel DP, The impact of microRNAs on protein output, Nature, 455 (2008) 64–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [61].Hendrickson DG, Hogan DJ, McCullough HL, Myers JW, Herschlag D, Ferrell JE, Brown PO, Concordant regulation of translation and mRNA abundance for hundreds of targets of a human microRNA, PLoS biology, 7 (2009) e1000238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [62].Huntzinger E, Izaurralde E, Gene silencing by microRNAs: contributions of translational repression and mRNA decay, Nature Reviews Genetics, 12 (2011) 99–110. [DOI] [PubMed] [Google Scholar]
  • [63].Iyanagi T, Molecular Mechanism of Phase I and Phase II Drug‐Metabolizing Enzymes: Implications for Detoxification, International Review of Cytology, Academic Press; 2007, pp. 35–112. [DOI] [PubMed] [Google Scholar]
  • [64].Guengerich FP, Human cytochrome P450 enzymes, Cytochrome P450, Springer; 2015, pp. 523–785. [Google Scholar]
  • [65].Chen Y, Xiao J, Zhang X, Bian X, MicroRNAs as key mediators of hepatic detoxification, Toxicology, 368–369 (2016) 80–90. [DOI] [PubMed] [Google Scholar]
  • [66].Tsuchiya Y, Nakajima M, Takagi S, Taniya T, Yokoi T, MicroRNA regulates the expression of human cytochrome P450 1B1, Cancer research, 66 (2006) 9090–9098. [DOI] [PubMed] [Google Scholar]
  • [67].Pan Y-Z, Gao W, Yu A-M, MicroRNAs regulate CYP3A4 expression via direct and indirect targeting, Drug metabolism and disposition, 37 (2009) 2112–2117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [68].Ji J, Zhang J, Huang G, Qian J, Wang X, Mei S, Over-expressed microRNA-27a and 27b influence fat accumulation and cell proliferation during rat hepatic stellate cell activation, FEBS letters, 583 (2009) 759–766. [DOI] [PubMed] [Google Scholar]
  • [69].Yu D, Green B, Tolleson WH, Jin Y, Mei N, Guo Y, Deng H, Pogribny I, Ning B, MicroRNA hsa-miR-29a-3p modulates CYP2C19 in human liver cells, Biochem Pharmacol, 98 (2015) 215–223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [70].Jin Y, Yu D, Tolleson WH, Knox B, Wang Y, Chen S, Ren Z, Deng H, Guo Y, Ning B, MicroRNA hsa-miR-25–3p suppresses the expression and drug induction of CYP2B6 in human hepatocytes, Biochem Pharmacol, 113 (2016) 88–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [71].Wang Y, Yu D, Tolleson WH, Yu L-R, Green B, Zeng L, Chen Y, Chen S, Ren Z, Guo L, A systematic evaluation of microRNAs in regulating human hepatic CYP2E1, Biochemical pharmacology, 138 (2017) 174–184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [72].Tang X, Chen S, Epigenetic regulation of cytochrome P450 enzymes and clinical implication, Current drug metabolism, 16 (2015) 86–96. [DOI] [PubMed] [Google Scholar]
  • [73].Guillemette C, Lévesque É, Rouleau M, Pharmacogenomics of human uridine diphospho‐glucuronosyltransferases and clinical implications, Clinical Pharmacology & Therapeutics, 96 (2014) 324–339. [DOI] [PubMed] [Google Scholar]
  • [74].Papageorgiou I, Court MH, Identification and validation of microRNAs directly regulating the UDP-glucuronosyltransferase 1A subfamily enzymes by a functional genomics approach, Biochemical pharmacology, 137 (2017) 93–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [75].Dluzen DF, Sun D, Salzberg AC, Jones N, Bushey RT, Robertson GP, Lazarus P, Regulation of UDP-glucuronosyltransferase 1A1 expression and activity by microRNA 491–3p, Journal of Pharmacology and Experimental Therapeutics, 348 (2014) 465–477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [76].Li D, Knox B, Chen S, Wu L, Tolleson WH, Liu Z, Yu D, Guo L, Tong W, Ning B, MicroRNAs hsa-miR-495–3p and hsa-miR-486–5p suppress basal and rifampicin-induced expression of human sulfotransferase 2A1 (SULT2A1) by facilitating mRNA degradation, Biochemical pharmacology, 169 (2019) 113617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [77].Meng C-L, Zhao W, Zhong D-N, Epigenetics and microRNAs in UGT1As, Human Genomics, 15 (2021) 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [78].Hu DG, Mackenzie PI, Hulin J-A, McKinnon RA, Meech R, Regulation of human UDP-glycosyltransferase (UGT) genes by miRNAs, Drug Metabolism Reviews, 54 (2022) 120–140. [DOI] [PubMed] [Google Scholar]
  • [79].Nigam SK, What do drug transporters really do?, Nature Reviews Drug Discovery, 14 (2015) 29–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [80].Borst P, Evers R, Kool M, Wijnholds J, A family of drug transporters: the multidrug resistance-associated proteins, Journal of the National Cancer Institute, 92 (2000) 1295–1302. [DOI] [PubMed] [Google Scholar]
  • [81].Choi C-H, ABC transporters as multidrug resistance mechanisms and the development of chemosensitizers for their reversal, Cancer cell international, 5 (2005) 1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [82].Robey RW, Pluchino KM, Hall MD, Fojo AT, Bates SE, Gottesman MM, Revisiting the role of ABC transporters in multidrug-resistant cancer, Nature Reviews Cancer, 18 (2018) 452–464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [83].Gao M, Miao L, Liu M, Li C, Yu C, Yan H, Yin Y, Wang Y, Qi X, Ren J, miR-145 sensitizes breast cancer to doxorubicin by targeting multidrug resistance-associated protein-1, Oncotarget, 7 (2016) 59714–59726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [84].Li Y, Liu Y, Ren J, Deng S, Yi G, Guo M, Shu S, Zhao L, Peng Y, Qi S, miR-1268a regulates ABCC1 expression to mediate temozolomide resistance in glioblastoma, Journal of neuro-oncology, 138 (2018) 499–508. [DOI] [PubMed] [Google Scholar]
  • [85].Pei K, Zhu J, Wang C, Xie Q, Guo J, MicroRNA-185–5p modulates chemosensitivity of human non-small cell lung cancer to cisplatin via targeting ABCC1, Eur Rev Med Pharmacol Sci, 20 (2016) 4697–4704. [PubMed] [Google Scholar]
  • [86].Liu H, Wu X, Huang J, Peng J, Guo L, miR‐7 modulates chemoresistance of small cell lung cancer by repressing MRP 1/ABCC 1, International Journal of Experimental Pathology, 96 (2015) 240–247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [87].Li S, Yang J, Wang J, Gao W, Ding Y, Ding Y, Jia Z, Down-regulation of miR-210–3p encourages chemotherapy resistance of renal cell carcinoma via modulating ABCC1, Cell & bioscience, 8 (2018) 1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [88].Ma J, Wang T, Guo R, Yang X, Yin J, Yu J, Xiang Q, Pan X, Tang H, Lei X, Involvement of miR-133a and miR-326 in ADM resistance of HepG2 through modulating expression of ABCC1, Journal of drug targeting, 23 (2015) 519–524. [DOI] [PubMed] [Google Scholar]
  • [89].Pan Y-Z, Zhou A, Hu Z, Yu A-M, Small nucleolar RNA-derived microRNA hsa-miR-1291 modulates cellular drug disposition through direct targeting of ABC transporter ABCC1, Drug Metabolism and Disposition, 41 (2013) 1744–1751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [90].Zhan M, Qu Q, Wang G, Zhou H, Let-7c sensitizes acquired cisplatin-resistant A549 cells by targeting ABCC2 and Bcl-XL, Die Pharmazie-An International Journal of Pharmaceutical Sciences, 68 (2013) 955–961. [PubMed] [Google Scholar]
  • [91].Xu K, Liang X, Shen K, Cui D, Zheng Y, Xu J, Fan Z, Qiu Y, Li Q, Ni L, miR-297 modulates multidrug resistance in human colorectal carcinoma by down-regulating MRP-2, Biochemical Journal, 446 (2012) 291–300. [DOI] [PubMed] [Google Scholar]
  • [92].Haenisch S, Laechelt S, Bruckmueller H, Werk A, Noack A, Bruhn O, Remmler C, Cascorbi I, Down-regulation of ATP-binding cassette C2 protein expression in HepG2 cells after rifampicin treatment is mediated by microRNA-379, Molecular pharmacology, 80 (2011) 314–320. [DOI] [PubMed] [Google Scholar]
  • [93].Loeser H, Von Brandenstein M, Herschung A, Schlosser M, Büttner R, Fries JW, ET-1 induced downregulation of MRP2 via miRNA 133a-a marker for tubular nephrotoxicity?, American Journal of Nephrology, 41 (2015) 191–199. [DOI] [PubMed] [Google Scholar]
  • [94].Tian J, Xu Y-Y, Li L, Hao Q, MiR-490–3p sensitizes ovarian cancer cells to cisplatin by directly targeting ABCC2, American journal of translational research, 9 (2017) 1127–1138. [PMC free article] [PubMed] [Google Scholar]
  • [95].Molina-Pinelo S, Gutierrez G, Pastor MD, Hergueta M, Moreno-Bueno G, Garcia-Carbonero R, Nogal A, Suárez R, Salinas A, Pozo-Rodríguez F, MicroRNA-dependent regulation of transcription in non-small cell lung cancer, PloS one, 9 (2014) e90524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [96].Bruckmueller H, Martin P, hler M, Haenisch S, Ostrowski M, Drozdzik M, Siegmund W, Cascorbi I, Oswald S, Clinically relevant multidrug transporters are regulated by microRNAs along the human intestine, Molecular pharmaceutics, 14 (2017) 2245–2253. [DOI] [PubMed] [Google Scholar]
  • [97].Zeng C, Fan D, Xu Y, Li X, Yuan J, Yang Q, Zhou X, Lu J, Zhang C, Han J, Curcumol enhances the sensitivity of doxorubicin in triple-negative breast cancer via regulating the miR-181b-2–3p-ABCC3 axis, Biochemical Pharmacology, 174 (2020) 113795. [DOI] [PubMed] [Google Scholar]
  • [98].Markova SM, Kroetz DL, ABCC4 is regulated by microRNA-124a and microRNA-506, Biochemical pharmacology, 87 (2014) 515–522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [99].Hu H, Wang Y, Qin Z, Sun W, Chen Y, Wang J, Wang Y, Nie J, Chen L, Cai S, Regulation of mrp4 expression by circhipk3 via sponging mir-124–3p/mir-4524–5p in hepatocellular carcinoma, Biomedicines, 9 (2021) 497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [100].Park JE, Ryoo G, Lee W, Alternative Splicing: Expanding Diversity in Major ABC and SLC Drug Transporters, The AAPS Journal, 19 (2017) 1643–1655. [DOI] [PubMed] [Google Scholar]
  • [101].Bruhn O, Lindsay M, Wiebel F, Kaehler M, Nagel I, Böhm R, Röder C, Cascorbi I, Alternative Polyadenylation of ABC Transporters of the C-Family (ABCC1, ABCC2, ABCC3) and Implications on Posttranscriptional Micro-RNA Regulation, Molecular Pharmacology, 97 (2020) 112–122. [DOI] [PubMed] [Google Scholar]
  • [102].To KK, Leung W, Ng SS, Exploiting a novel miR-519c–HuR–ABCG2 regulatory pathway to overcome chemoresistance in colorectal cancer, Experimental cell research, 338 (2015) 222–231. [DOI] [PubMed] [Google Scholar]
  • [103].To KK, Robey RW, Knutsen T, Zhan Z, Ried T, Bates SE, Escape from hsa-miR-519c enables drug-resistant cells to maintain high expression of ABCG2, Molecular cancer therapeutics, 8 (2009) 2959–2968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [104].To KK, Zhan Z, Litman T, Bates SE, Regulation of ABCG2 expression at the 3′ untranslated region of its mRNA through modulation of transcript stability and protein translation by a putative microRNA in the S1 colon cancer cell line, Molecular and cellular biology, 28 (2008) 5147–5161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [105].Tajiri A, Hirota T, Kawano S, Yonamine A, Ieiri I, Regulation of organic anion transporting polypeptide 2B1 expression by microRNA in the human liver, Molecular pharmaceutics, 17 (2020) 2821–2830. [DOI] [PubMed] [Google Scholar]
  • [106].Takagi S, Nakajima M, Kida K, Yamaura Y, Fukami T, Yokoi T, MicroRNAs regulate human hepatocyte nuclear factor 4α, modulating the expression of metabolic enzymes and cell cycle, Journal of Biological Chemistry, 285 (2010) 4415–4422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [107].Liu W, Nakano M, Nakanishi T, Nakajima M, Tamai I, Post-transcriptional regulation of OATP2B1 transporter by a microRNA, miR-24, Drug Metabolism and Pharmacokinetics, 35 (2020) 515–521. [DOI] [PubMed] [Google Scholar]
  • [108].Wang Y, Wang Y, Qin Z, Cai S, Yu L, Hu H, Zeng S, The role of non-coding RNAs in ABC transporters regulation and their clinical implications of multidrug resistance in cancer, Expert Opinion on Drug Metabolism & Toxicology, 17 (2021) 291–306. [DOI] [PubMed] [Google Scholar]
  • [109].Gomes BC, Rueff J, Rodrigues AS, MicroRNAs and cancer drug resistance: over two thousand characters in search of a role, Cancer Drug Resistance, 2 (2019) 618–633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [110].Yi C, Yu A-M, MicroRNAs in the Regulation of Solute Carrier Proteins Behind Xenobiotic and Nutrient Transport in Cells, Frontiers in Molecular Biosciences, 9 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [111].Pascussi J, Gerbal-Chaloin S, Drocourt L, Maurel P, Vilarem M, The expression of CYP2B6, CYP2C9 and CYP3A4 genes: a tangle of networks of nuclear and steroid receptors, Biochimica et Biophysica Acta (BBA)-General Subjects, 1619 (2003) 243–253. [DOI] [PubMed] [Google Scholar]
  • [112].Kugler N, Klein K, Zanger UM, MiR-155 and other microRNAs downregulate drug metabolizing cytochromes P450 in inflammation, Biochemical Pharmacology, 171 (2020) 113725. [DOI] [PubMed] [Google Scholar]
  • [113].Rieger JK, Reutter S, Hofmann U, Schwab M, Zanger UM, Inflammation-associated microRNA-130b down-regulates cytochrome P450 activities and directly targets CYP2C9, Drug Metabolism and Disposition, 43 (2015) 884–888. [DOI] [PubMed] [Google Scholar]
  • [114].Li D, Tolleson WH, Yu D, Chen S, Guo L, Xiao W, Tong W, Ning B, Regulation of cytochrome P450 expression by microRNAs and long noncoding RNAs: Epigenetic mechanisms in environmental toxicology and carcinogenesis, Journal of Environmental Science and Health, Part C, 37 (2019) 180–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [115].Paddison PJ, Silva JM, Conklin DS, Schlabach M, Li M, Aruleba S, Balija V, O’Shaughnessy A, Gnoj L, Scobie K, A resource for large-scale RNA-interference-based screens in mammals, Nature, 428 (2004) 427–431. [DOI] [PubMed] [Google Scholar]
  • [116].Berns K, Hijmans EM, Mullenders J, Brummelkamp TR, Velds A, Heimerikx M, Kerkhoven RM, Madiredjo M, Nijkamp W, Weigelt B, A large-scale RNAi screen in human cells identifies new components of the p53 pathway, Nature, 428 (2004) 431–437. [DOI] [PubMed] [Google Scholar]
  • [117].Silva JM, Li MZ, Chang K, Ge W, Golding MC, Rickles RJ, Siolas D, Hu G, Paddison PJ, Schlabach MR, Second-generation shRNA libraries covering the mouse and human genomes, Nature genetics, 37 (2005) 1281–1288. [DOI] [PubMed] [Google Scholar]
  • [118].Liu YP, Berkhout B, miRNA cassettes in viral vectors: Problems and solutions, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, 1809 (2011) 732–745. [DOI] [PubMed] [Google Scholar]
  • [119].Sioud M, What are the key targeted delivery technologies of siRNA now?, RNA Therapeutics, Springer; 2010, pp. 91–105. [DOI] [PubMed] [Google Scholar]
  • [120].McBride JL, Boudreau RL, Harper SQ, Staber PD, Monteys AM, Martins I, Gilmore BL, Burstein H, Peluso RW, Polisky B, Carter BJ, Davidson BL, Artificial miRNAs mitigate shRNA-mediated toxicity in the brain: implications for the therapeutic development of RNAi, Proc Natl Acad Sci U S A, 105 (2008) 5868–5873. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [121].Zeng Y, Wagner EJ, Cullen BR, Both Natural and Designed Micro RNAs Can Inhibit the Expression of Cognate mRNAs When Expressed in Human Cells, Molecular Cell, 9 (2002) 1327–1333. [DOI] [PubMed] [Google Scholar]
  • [122].Taxman DJ, Moore CB, Guthrie EH, Huang MT-H, Short hairpin RNA (shRNA): design, delivery, and assessment of gene knockdown, RNA therapeutics, Springer; 2010, pp. 139–156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [123].Marshall WS, Kaiser RJ, Recent advances in the high-speed solid phase synthesis of RNA, Current Opinion in Chemical Biology, 8 (2004) 222–229. [DOI] [PubMed] [Google Scholar]
  • [124].Beaucage SL, Solid-phase synthesis of siRNA oligonucleotides, CURRENT OPINION IN DRUG DISCOVERY AND DEVELOPMENT, 11 (2008) 203–216. [PubMed] [Google Scholar]
  • [125].Yu J-Y, DeRuiter SL, Turner DL, RNA interference by expression of short-interfering RNAs and hairpin RNAs in mammalian cells, Proceedings of the National Academy of Sciences, 99 (2002) 6047–6052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [126].Wons E, Furmanek-Blaszk B, Sektas M, RNA editing by T7 RNA polymerase bypasses InDel mutations causing unexpected phenotypic changes, Nucleic Acids Research, 43 (2015) 3950–3963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [127].Yu A-M, Batra N, Tu M-J, Sweeney C, Novel approaches for efficient in vivo fermentation production of noncoding RNAs, Applied microbiology and biotechnology, 104 (2020) 1927–1937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [128].Yu A-M, Choi YH, Tu M-J, RNA drugs and RNA targets for small molecules: principles, progress, and challenges, Pharmacological reviews, 72 (2020) 862–898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [129].Yu A-M, Jian C, Allan HY, Tu M-J, RNA therapy: Are we using the right molecules?, Pharmacology & therapeutics, 196 (2019) 91–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [130].Rao DD, Vorhies JS, Senzer N, Nemunaitis J, siRNA vs. shRNA: Similarities and differences, Advanced Drug Delivery Reviews, 61 (2009) 746–759. [DOI] [PubMed] [Google Scholar]
  • [131].Ho PY, Yu AM, Bioengineering of noncoding RNAs for research agents and therapeutics, Wiley Interdisciplinary Reviews: RNA, 7 (2016) 186–197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [132].Dapos, Souza LM, Larios‐Sanz M, Setterquist RA, Willson RC, Fox GE, Small RNA sequences are readily stabilized by inclusion in a carrier rRNA, Biotechnology progress, 19 (2003) 734–738. [DOI] [PubMed] [Google Scholar]
  • [133].Ponchon L, Dardel F, Recombinant RNA technology: the tRNA scaffold, Nature methods, 4 (2007) 571–576. [DOI] [PubMed] [Google Scholar]
  • [134].Ponchon L, Beauvais G, Nonin-Lecomte S, Dardel F, A generic protocol for the expression and purification of recombinant RNA in Escherichia coli using a tRNA scaffold, Nature protocols, 4 (2009) 947–959. [DOI] [PubMed] [Google Scholar]
  • [135].Chen QX, Wang WP, Zeng S, Urayama S, Yu AM, A general approach to high-yield biosynthesis of chimeric RNAs bearing various types of functional small RNAs for broad applications, Nucleic Acids Res, 43 (2015) 3857–3869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [136].Ho PY, Duan Z, Batra N, Jilek JL, Tu M-J, Qiu J-X, Hu Z, Wun T, Lara PN, DeVere White RW, Chen H-W, Yu A-M, Bioengineered Noncoding RNAs Selectively Change Cellular miRNome Profiles for Cancer Therapy, Journal of Pharmacology and Experimental Therapeutics, 365 (2018) 494–506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [137].Daròs J-A, Aragonés V, Cordero T, A viroid-derived system to produce large amounts of recombinant RNA in Escherichia coli, Scientific reports, 8 (2018) 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [138].Kikuchi Y, Umekage S, Extracellular nucleic acids of the marine bacterium Rhodovulum sulfidophilum and recombinant RNA production technology using bacteria, FEMS microbiology letters, 365 (2018) fnx268. [DOI] [PubMed] [Google Scholar]
  • [139].Hashiro S, Mitsuhashi M, Chikami Y, Kawaguchi H, Niimi T, Yasueda H, Construction of Corynebacterium glutamicum cells as containers encapsulating dsRNA overexpressed for agricultural pest control, Applied microbiology and biotechnology, 103 (2019) 8485–8496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [140].Deutscher MP, Chapter 9 Maturation and Degradation of Ribosomal RNA in Bacteria, Progress in Molecular Biology and Translational Science, Academic Press; 2009, pp. 369–391. [DOI] [PubMed] [Google Scholar]
  • [141].Pitulle C, Hedenstierna K, Fox GE, A novel approach for monitoring genetically engineered microorganisms by using artificial, stable RNAs, Applied and environmental microbiology, 61 (1995) 3661–3666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [142].D’Souza LM, Willson RC, Fox GE, Expression of Marker RNAs in Pseudomonas putida, Current Microbiology, 40 (2000) 91–95. [DOI] [PubMed] [Google Scholar]
  • [143].Zhang X, Potty AS, Jackson GW, Stepanov V, Tang A, Liu Y, Kourentzi K, Strych U, Fox GE, Willson RC, Engineered 5S ribosomal RNAs displaying aptamers recognizing vascular endothelial growth factor and malachite green, Journal of Molecular Recognition: An Interdisciplinary Journal, 22 (2009) 154–161. [DOI] [PubMed] [Google Scholar]
  • [144].Liu Y, Stepanov VG, Strych U, Willson RC, Jackson GW, Fox GE, DNAzyme-mediated recovery of small recombinant RNAs from a 5S rRNA-derived chimera expressed in Escherichia coli, BMC Biotechnology, 10 (2010) 85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [145].Masson J-M, Miller JH, Expression of synthetic suppressor tRNA genes under the control of a synthetic promoter, Gene, 47 (1986) 179–183. [DOI] [PubMed] [Google Scholar]
  • [146].Meinnel T, Mechulam Y, Fayat G, Fast purification of a functional elongator tRNAmet expressed from a synthetic gene in vivo, Nucleic acids research, 16 (1988) 8095–8096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [147].Ponchon L, Dardel F, Large scale expression and purification of recombinant RNA in Escherichia coli, Methods, 54 (2011) 267–273. [DOI] [PubMed] [Google Scholar]
  • [148].Li MM, Addepalli B, Tu MJ, Chen QX, Wang WP, Limbach PA, LaSalle JM, Zeng S, Huang M, Yu AM, Chimeric MicroRNA-1291 Biosynthesized Efficiently in Escherichia coli Is Effective to Reduce Target Gene Expression in Human Carcinoma Cells and Improve Chemosensitivity, Drug Metab Dispos, 43 (2015) 1129–1136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [149].Wang WP, Ho PY, Chen QX, Addepalli B, Limbach PA, Li MM, Wu WJ, Jilek JL, Qiu JX, Zhang HJ, Li T, Wun T, White RD, Lam KS, Yu AM, Bioengineering Novel Chimeric microRNA-34a for Prodrug Cancer Therapy: High-Yield Expression and Purification, and Structural and Functional Characterization, The Journal of pharmacology and experimental therapeutics, 354 (2015) 131–141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [150].Li M-M, Wang W-P, Wu W-J, Huang M, Yu A-M, Rapid production of novel pre-microRNA agent hsa-mir-27b in Escherichia coli using recombinant RNA technology for functional studies in mammalian cells, Drug Metabolism and Disposition, 42 (2014) 1791–1795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [151].Ponchon L, Catala M, Seijo B, El Khouri M, Dardel F, Nonin-Lecomte S, Tisne C, Co-expression of RNA–protein complexes in Escherichia coli and applications to RNA biology, Nucleic acids research, 41 (2013) e150–e150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [152].Nelissen FH, Leunissen EH, van de Laar L, Tessari M, Heus HA, Wijmenga SS, Fast production of homogeneous recombinant RNA—towards large-scale production of RNA, Nucleic acids research, 40 (2012) e102–e102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [153].Li P-C, Tu M-J, Ho PY, Batra N, Tran MM, Qiu J-X, Wun T, Lara PN, Hu X, Yu A-X, In vivo fermentation production of humanized noncoding RNAs carrying payload miRNAs for targeted anticancer therapy, Theranostics, 11 (2021) 4858–4871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [154].Tu M-J, Wright HK, Batra N, Yu A-M, Expression and purification of tRNA/pre-miRNA-based recombinant noncoding RNAs, RNA Scaffolds, Springer; 2021, pp. 249–265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [155].Petrek H, Ho PY, Batra N, Tu M-J, Zhang Q, Qiu J-X, Yu A-M, Single bioengineered ncRNA molecule for dual-targeting toward the control of non-small cell lung cancer patient-derived xenograft tumor growth, Biochemical pharmacology, 189 (2021) 114392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [156].Tu M-J, Ho PY, Zhang Q-Y, Jian C, Qiu J-X, Kim EJ, Bold RJ, Gonzalez FJ, Bi H, Yu A-M, Bioengineered miRNA-1291 prodrug therapy in pancreatic cancer cells and patient-derived xenograft mouse models, Cancer letters, 442 (2019) 82–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [157].Deng L, Petrek H, Tu M-J, Batra N, Yu A-X, Yu A-M, Bioengineered miR-124–3p prodrug selectively alters the proteome of human carcinoma cells to control multiple cellular components and lung metastasis in vivo, Acta Pharmaceutica Sinica B, 11 (2021) 3950–3965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [158].Li X, Tian Y, Tu M-J, Ho PY, Batra N, Yu A-M, Bioengineered miR-27b-3p and miR-328–3p modulate drug metabolism and disposition via the regulation of target ADME gene expression, Acta Pharmaceutica Sinica B, 9 (2019) 639–647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [159].Oda Y, Nakajima M, Tsuneyama K, Takamiya M, Aoki Y, Fukami T, Yokoi T, Retinoid X receptor α in human liver is regulated by miR-34a, Biochemical pharmacology, 90 (2014) 179–187. [DOI] [PubMed] [Google Scholar]
  • [160].Lamba V, Ghodke Y, Guan W, Tracy T, microRNA-34a is associated with expression of key hepatic transcription factors and cytochromes P450, Biochemical and biophysical research communications, 445 (2014) 404–411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [161].Jilek JL, Tian Y, Yu A-M, Effects of MicroRNA-34a on the Pharmacokinetics of Cytochrome P450 Probe Drugs in Mice, Drug Metabolism and Disposition, 45 (2017) 512–522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [162].Yamasaki T, Seki N, Yoshino H, Itesako T, Yamada Y, Tatarano S, Hidaka H, Yonezawa T, Nakagawa M, Enokida H, Tumor‐suppressive micro RNA‐1291 directly regulates glucose transporter 1 in renal cell carcinoma, Cancer science, 104 (2013) 1411–1419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [163].Tu M-J, Duan Z, Liu Z, Zhang C, Bold RJ, Gonzalez FJ, Kim EJ, Yu A-M, MicroRNA-1291–5p Sensitizes Pancreatic Carcinoma Cells to Arginine Deprivation and Chemotherapy through the Regulation of Arginolysis and Glycolysis, Molecular Pharmacology, 98 (2020) 686–694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [164].Pan Y-Z, Morris ME, Yu A-M, MicroRNA-328 negatively regulates the expression of breast cancer resistance protein (BCRP/ABCG2) in human cancer cells, Molecular pharmacology, 75 (2009) 1374–1379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [165].Santasusagna S, Moreno I, Navarro A, Muñoz C, Martinez F, Hernández R, Castellano J, Monzo M, miR-328 mediates a metabolic shift in colon cancer cells by targeting SLC2A1/GLUT1, Clinical and Translational Oncology, 20 (2018) 1161–1167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [166].Yi W, Tu M-J, Liu Z, Zhang C, Batra N, Yu A-X, Yu A-M, Bioengineered miR-328–3p modulates GLUT1-mediated glucose uptake and metabolism to exert synergistic antiproliferative effects with chemotherapeutics, Acta Pharmaceutica Sinica B, 10 (2020) 159–170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [167].Jilek JL, Tu M-J, Zhang C, Yu A-M, Pharmacokinetic and Pharmacodynamic Factors Contribute to Synergism between Let-7c-5p and 5-Fluorouracil in Inhibiting Hepatocellular Carcinoma Cell Viability, Drug Metabolism and Disposition, 48 (2020) 1257–1263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [168].Li P-C, Tu M-J, Ho PY, Jilek JL, Duan Z, Zhang Q-Y, Yu A-X, Yu A-M, Bioengineered NRF2-siRNA Is Effective to Interfere with NRF2 Pathways and Improve Chemosensitivity of Human Cancer Cells, Drug Metabolism and Disposition, 46 (2018) 2–10. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES