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. 2019 Jun 8;25:104112. doi: 10.1016/j.dib.2019.104112

Resistin and adenylyl cyclase-associated protein 1 (CAP1) regulate the expression of genes related to insulin resistance in BNL CL.2 mouse liver cells

Dimiter Avtanski 1,, Karin Chen 1, Leonid Poretsky 1
PMCID: PMC6595414  PMID: 31294061

Abstract

Resistin is an adipokine produced in white adipose tissue that is thought to modulate insulin sensitivity in peripheral tissues (such as liver, skeletal muscle or adipose tissue). Human and murine resistin molecules share only about 60% sequence homology. [1] Contrary to humans, in which resistin is secreted mostly by macrophages, Park and Ahima 2013 resistin in rodents is produced primarily by the mature adipocytes of the white adipose tissue. Although resistin can bind to toll-like receptor 4 (TLF4) activating proinflammatory responses in human and rodents, [3], [4], [5], [6], [7], [8] the inflammatory actions of resistin in human monocytes were found to be mediated by resistin binding to adenylyl cyclase-associated protein 1 (CAP1). [9] In this study, we aimed to investigate the in vitro effects of resistin on the expression of various genes related to insulin resistance in mouse liver cells. Using BNL CL.2 cells, we investigated the effect of resistin in untransfected or CAP1 siRNA-transfected cells on the expression of 84 key genes involved in insulin resistance.

Keywords: Resistin, Adenylyl cyclase-associated protein 1 (CAP1), Insulin resistance, BNL CL.2 cells


Subject area Biology
More specific subject area Inflammation
Type of data Graphs, figures
How data was acquired qRT-PCR array, QuantStudio 3 (Life Technologies)
Data format Analyzed
Experimental factors BNL CL.2 cells treated with resistin in the presence or absence of CAP1 siRNA transfection
Experimental features Untransfected or CAP1 siRNA-transfected BNL CL.2 cells were treated with resistin, and mRNA expression levels of 84 genes related to insulin resistance were measured by using qRT-PCR array.
Data source location New York, New York, USA
Data accessibility Data is with this article
Related research article Lee S, Lee H–C, Kwon Y–W, Lee SE, Cho Y, Kim J et al. Adenylyl cyclase-associated protein 1 is a receptor for human resistin and mediates inflammatory actions of human monocytes. Cell Metab. 2014 Mar 4; 19(3):484–97
Value of the data
  • The role of murine resistin in mediating insulin sensitivity of the peripheral tissues and adenylyl cyclase-associated protein 1 (CAP1) as potential resistin receptor is not yet well understood.

  • We used BNL CL.2 mouse liver cells that were treated with resistin in the presence or absence of CAP1 siRNA transfection.

  • We found that resistin modulates gene expression of several genes related to insulin resistance, and the effect of some of these genes is modulated by CAP1.

1. Data

1.1. Optimization of CAP1 siRNA transfections

Our optimization experiments (data not shown) demonstrated that there was no statistically significant difference in CAP1 mRNA expression levels between untransfected and siRNA negative control-transfected cells. There was a significant decrease (86%) in CAP1 siRNA levels in CAP1 siRNA-transfected cells, compared to untransfected controls. There was no statistically significant difference in the cell viability between all of the treatment conditions.

1.2. Effect of resistin on the expression of genes related to insulin resistance in BNL CL.2 cells

Using quantitative RT-PCR array, we measured the expression levels of 84 key genes involved in the mechanisms behind type 2 diabetes mellitus (T2DM) in adipose tissue (the full list of genes is presented in Table 1, and list of genes grouped by function is provided in Table 2) in BNL CL.2 cells in the presence or absence of resistin (25 ng/ml for 24 hours) (Fig. 1).

Table 1.

List of genes examined. Table list of all genes measured by the PCR array, including the NCBI reference sequence database (RefSeq), gene abbreviations, full names and/or synonyms.

RefSeq Abbreviation Full Name
NM_133360 Acaca Acetyl-Coenzyme A carboxylase alpha
NM_133904 Acacb Acetyl-Coenzyme A carboxylase beta
NM_007981 Acsl1 Acyl-CoA synthetase long-chain family member 1
NM_019477 Acsl4 Acyl-CoA synthetase long-chain family member 4
NM_009605 Adipoq Adiponectin, C1Q and collagen domain containing
NM_028320 Adipor1 Adiponectin receptor 1
NM_197985 Adipor2 Adiponectin receptor 2
NM_011785 Akt3 Thymoma viral proto-oncogene 3
NM_009662 Alox5 Arachidonate 5-lipoxygenase
NM_009696 Apoe Apolipoprotein E
NM_009807 Casp1 Caspase 1
NM_011331 Ccl12 Chemokine (C–C motif) ligand 12
NM_009916 Ccr4 Chemokine (C–C motif) receptor 4
NM_009917 Ccr5 Chemokine (C–C motif) receptor 5
NM_009835 Ccr6 Chemokine (C–C motif) receptor 6
NM_007643 Cd36 CD36 antigen
NM_007648 Cd3e CD3 antigen, epsilon polypeptide
NM_007678 Cebpa CCAAT/enhancer binding protein (C/EBP), alpha
NM_007700 Chuk Conserved helix-loop-helix ubiquitous kinase
NM_013493 Cnbp Cellular nucleic acid binding protein
NM_016715 Crlf2 Cytokine receptor-like factor 2
NM_026444 Cs Citrate synthase
NM_009910 Cxcr3 Chemokine (C-X-C motif) receptor 3
NM_009911 Cxcr4 Chemokine (C-X-C motif) receptor 4
NM_010130 Adgre1 EGF-like module containing, mucin-like, hormone receptor-like sequence 1
NM_024406 Fabp4 Fatty acid binding protein 4, adipocyte
NM_007988 Fasn Fatty acid synthase
NM_030678 Gys1 Glycogen synthase 1, muscle
NM_013820 Hk2 Hexokinase 2
NM_008337 Ifng Interferon gamma
NM_010512 Igf1 Insulin-like growth factor 1
NM_010513 Igf1r Insulin-like growth factor I receptor
NM_010546 Ikbkb Inhibitor of kappaB kinase beta
NM_008365 Il18r1 Interleukin 18 receptor 1
NM_008361 Il1b Interleukin 1 beta
NM_008362 Il1r1 Interleukin 1 receptor, type I
NM_144548 Il23r Interleukin 23 receptor
NM_001314054 Il6 Interleukin 6
NM_010568 Insr Insulin receptor
NM_010570 Irs1 Insulin receptor substrate 1
NM_001081212 Irs2 Insulin receptor substrate 2
NM_008413 Jak2 Janus kinase 2
NM_008493 Lep Leptin
NM_010704 Lepr Leptin receptor
NM_010719 Lipe Lipase, hormone sensitive
NM_008509 Lpl Lipoprotein lipase
NM_008517 Lta4h Leukotriene A4 hydrolase
NM_008927 Map2k1 Mitogen-activated protein kinase kinase 1
NM_011952 Mapk3 Mitogen-activated protein kinase 3
NM_016961 Mapk9 Mitogen-activated protein kinase 9
NM_020009 Mtor Mechanistic target of rapamycin (serine/threonine kinase)
NM_021524 Nampt Nicotinamide phosphoribosyltransferase
NM_010907 Nfkbia Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha
NM_145827 Nlrp3 NLR family, pyrin domain containing 3
NM_138648 Olr1 Oxidized low density lipoprotein (lectin-like) receptor 1
NM_011044 Pck1 Phosphoenolpyruvate carboxykinase 1, cytosolic
NM_011055 Pde3b Phosphodiesterase 3B, cGMP-inhibited
NM_133667 Pdk2 Pyruvate dehydrogenase kinase, isoenzyme 2
NM_008814 Pdx1 Pancreatic and duodenal homeobox 1
NM_008839 Pik3ca Phosphatidylinositol 3-kinase, catalytic, alpha polypeptide
NM_001024955 Pik3r1 Phosphatidylinositol 3-kinase, regulatory subunit, polypeptide 1 (p85 alpha)
NM_011144 Ppara Peroxisome proliferator activated receptor alpha
NM_011146 Pparg Peroxisome proliferator activated receptor gamma
NM_008904 Ppargc1a Peroxisome proliferative activated receptor, gamma, coactivator 1 alpha
NM_011201 Ptpn1 Protein tyrosine phosphatase, non-receptor type 1
NM_023258 Pycard PYD and CARD domain containing
NM_011255 Rbp4 Retinol binding protein 4, plasma
NM_009045 Rela V-rel reticuloendotheliosis viral oncogene homolog A (avian)
NM_022984 Retn Resistin
NM_028259 Rps6kb1 Ribosomal protein S6 kinase, polypeptide 1
NM_009127 Scd1 Stearoyl-Coenzyme A desaturase 1
NM_008871 Serpine1 Serine (or cysteine) peptidase inhibitor, clade E, member 1
NM_011977 Slc27a1 Solute carrier family 27 (fatty acid transporter), member 1
NM_009204 Slc2a4 Solute carrier family 2 (facilitated glucose transporter), member 4
NM_007707 Socs3 Suppressor of cytokine signaling 3
NM_011480 Srebf1 Sterol regulatory element binding transcription factor 1
NM_033218 Srebf2 Sterol regulatory element binding factor 2
NM_011486 Stat3 Signal transducer and activator of transcription 3
NM_021297 Tlr4 Toll-like receptor 4
NM_013693 Tnf Tumor necrosis factor
NM_011609 Tnfrsf1a Tumor necrosis factor receptor superfamily, member 1a
NM_011610 Tnfrsf1b Tumor necrosis factor receptor superfamily, member 1b
NM_009463 Ucp1 Uncoupling protein 1 (mitochondrial, proton carrier)
NM_013703 Vldlr Very low density lipoprotein receptor
NM_007393 Actb Actin, beta
NM_009735 B2m Beta-2 microglobulin
NM_010368 Gusb Glucuronidase, beta
NM_008084 Gapdh Glyceraldehyde-3-phosphate dehydrogenase
NM_008302 Hsp90ab1 Heat shock protein 90 alpha (cytosolic), class B member 1
SA_00106 MGDC Mouse Genomic DNA Contamination
SA_00104 RTC Reverse Transcription Control
SA_00104 RTC Reverse Transcription Control
SA_00104 RTC Reverse Transcription Control
SA_00103 PPC Positive PCR Control
SA_00103 PPC Positive PCR Control
SA_00103 PPC Positive PCR Control
Table 2.

Genes by function. Table lists all of the genes examined, separated by function.

Function Gene
Insulin signaling Akt3
Gys1
Igf1
Igf1r
Ikbkb(IKK2)
Insr
Irs1
Irs2
Map2k1(Mek1)
Mapk3(Erk1)
Mapk9(Jnk2)
Mtor
Pde3b
Pik3ca(p110-alpha)
Pik3r1(PI3KA, p85alpha)
Ppargc1a(Pgc-1alpha, Ppargc1)
Ptpn1(Ptp1b, Ptp)
Rps6kb1
Slc2a4(Glut4)
Socs3
Srebf1
Non-insulin dependent diabetes mellitus Adipoq(Acrp30)
Hk2
Ikbkb(IKKbeta, IKK2)
Insr
Irs1
Irs2
Mapk3(Erk1)
Mapk9(Jnk2)
Mtor
Pdx1(Ipf1)
Pik3ca(p110-alpha)
Pik3r1(PI3KA, p85-alpha)
Slc2a4(Glut4)
Socs3
Tnf
Adipokine signaling
Adipokines Adipoq(Acrp30)
Il6
Lep
Nampt
Retn
Serpine1(PAI-1)
Tnf
Receptors & transporters Adipor1
Adipor2
Cd36
Lepr
Slc2a4(Glut4)
Tnfrsf1a(Tnfr1)
Tnfrsf1b
Signaling downstream of adipokines Akt3
Chuk(Ikbka, Ikka)
Ikbkb(IKK2)
Irs1
Irs2
Jak2
Mapk9(Jnk2)
Mtor
Nfkbia(Iκb-alpha, Mad3)
Ppara
Ppargc1a(Ppargc1)
Rela
Socs3
Stat3
Innate immunity Casp1(ICE)
Chuk(Ikbka, Ikka)
Ikbkb(IKK2)
Irs1
Irs2
Nlrp3
Nfkbia(Iκb-alpha, Mad3)
Pycard(Tms1, Asc)
Rela
Tlr4
Inflammation Alox5
Casp1(Ice)
Ccl12(MCP-5, Scya12)
Ccr4
Ccr5
Chuk(Ikbka, Ikka)
Cxcr4
Ifng
Ikbkb(IKK2)
Il1b
Il23r
Il6
Lta4h
Nlrp3
Olr1
Pycard(Tms1, Asc)
Rela
Tnf
Tnfrsf1a(Tnfr1)
Tnfrsf1b
Apoptosis Pparg
Serpine1PAI-1)
Tnf
Casp1(Ice)
Ikbkb(IKK2)
Irs2
Mapk9(Jnk2)
Nfkbia(Iκb-alpha, Mad3)
Nlrp3
Pycard(Tms1, Asc)
Rela
Tnfrsf1a (Tnfr1)
Jak2
Pik3ca (p110-alpha)
Socs3
Rps6kb1
Tnfrsf1b
Metabolic pathways
Carbohydrate metabolism Cs
Gys1
Hk2
Pck1
Pdk2
Lipid metabolism Acaca
Acacb
Acsl1
Acsl4
Apoe
Cebpa
Cnbp
Fabp4
Fasn
Lepr
Lipe
Lpl
Ppara
Pparg
Ppargc1a(Ppargc1)
Scd1
Srebf1
Srebf2
Metabolite transport Apoe
Cd36
Fabp4
Rbp4
Slc2a4(Glut4)
Slc27a1
Ucp1
Vldlr
Infiltrating leukocyte markers
Macrophages Ccr5
Cxcr4
Adgre1
Th1 cells Ccr5
Cd3e
Cxcr3
Il18r1
Th2 cells Ccr4
Cd3e
Crlf2 (Tslpr)
Il1r1
Th17 cells Ccr6
Cd3e
Il23r
Fig. 1.

Fig. 1

Gene expression–clustergram. Clustergram of the entire dataset displaying a heat map with dendrograms indicating co-regulated genes across groups or individual samples.

Resistin treatment resulted in statistically significant change in the expression of 6 genes (Table 3). Of these genes, 3 were significantly upregulated (Apoe, Cs, and Pik3rl) and 3 downregulated (Casp1, Rbp4, and Rps6kb1) (Fig. 2A). Functionally, these genes participate in metabolic pathways (Apoe, Cs, and Rbp4), insulin signaling (Pik3r1 and Rps6kb1), T2DM (Pik3r1), innate immunity (Casp1), inflammation (Casp1), and apoptosis (Casp1 and Rps6kb1) (Fig. 2B).

Table 3.

Fold regulation of gene expression (treatment vs. control). Fold change of gene expression of each treatment vs. control. p values <= 0.05 are marked in bold.

Gene Resistin
CAP1 siRNA
CAP1 siRNA + Resistin
Fold Regulation p-value Fold Regulation p-value Fold Regulation p-value
Acaca −1.14 0.169661 −1.22 0.290632 1.00 0.878421
Acacb 1.01 0.906748 1.09 0.438927 1.06 0.643704
Acsl1 1.02 0.724041 1.44 0.000491 1.36 0.018940
Acsl4 1.04 0.542086 1.08 0.356823 1.12 0.206335
Adipoq −1.10 0.173396 1.32 0.041017 1.15 0.401499
Adipor1 −1.04 0.329231 1.02 0.640683 1.06 0.146953
Adipor2 1.13 0.113931 1.17 0.028059 1.34 0.016324
Akt3 1.07 0.126858 1.03 0.256181 1.01 0.782413
Alox5 1.42 0.364008 1.75 0.099439 1.51 0.263775
Apoe 1.55 0.022577 1.29 0.046392 −1.02 0.812274
Casp1 −1.89 0.003612 1.41 0.224487 1.24 0.252274
Ccl12 1.22 0.306190 1.51 0.099450 1.33 0.142705
Ccr4 1.00 0.925798 1.52 0.021117 1.17 0.271836
Ccr5 −1.05 0.612433 1.27 0.357504 1.07 0.791426
Ccr6 −1.07 0.570025 1.14 0.358616 1.07 0.661161
Cd36 −1.08 0.979498 1.17 0.480636 1.74 0.080825
Cd3e 1.30 0.367086 1.55 0.122220 1.28 0.416990
Cebpa −1.01 0.554566 1.16 0.045397 1.05 0.407643
Chuk −1.00 0.923392 1.07 0.230993 1.06 0.155313
Cnbp −1.08 0.148730 1.15 0.098214 1.12 0.158070
Crlf2 1.13 0.152933 1.24 0.010318 1.10 0.290357
Cs 1.49 0.025871 1.28 0.023492 1.06 0.583900
Cxcr3 −1.16 0.143245 1.02 0.813042 1.05 0.617630
Cxcr4 1.14 0.144379 1.66 0.013166 1.20 0.141848
Adgre1 −1.15 0.431959 1.20 0.273281 −1.00 0.936820
Fabp4 −1.21 0.123579 1.02 0.702554 −1.14 0.343194
Fasn −1.02 0.563222 1.05 0.370487 1.11 0.102888
Gys1 1.00 0.891518 1.01 0.721490 1.05 0.204388
Hk2 −1.02 0.556124 1.39 0.009742 1.37 0.004545
Ifng −1.42 0.518183 1.76 0.147576 1.54 0.290151
Igf1 −1.20 0.063415 1.12 0.298831 −1.00 0.909747
Igf1r 1.03 0.376609 1.12 0.009107 1.15 0.000795
Ikbkb 1.02 0.477848 1.10 0.031863 1.08 0.013828
Il18r1 −1.14 0.127650 1.07 0.378861 −1.08 0.592830
Il1b 1.06 0.555982 1.26 0.122392 1.16 0.340112
Il1r1 −1.06 0.560278 1.01 0.957418 1.07 0.683408
Il23r −1.13 0.426607 1.16 0.476194 −1.18 0.546692
Il6 −1.46 0.078072 −1.21 0.351666 −1.20 0.426350
Insr 1.11 0.130969 1.04 0.591773 1.02 0.833929
Irs1 1.12 0.305636 1.15 0.219709 1.20 0.177262
Irs2 1.01 0.775771 −1.13 0.017086 −1.14 0.003924
Jak2 1.03 0.424419 1.23 0.013603 1.27 0.009525
Lep −1.08 0.361070 1.16 0.211892 −1.04 0.971677
Lepr 1.11 0.377068 1.59 0.005756 1.30 0.159982
Lipe 1.06 0.206055 1.17 0.012267 1.12 0.252451
Lpl −1.21 0.124427 1.10 0.365642 −1.10 0.808003
Lta4h 1.02 0.531694 1.13 0.016815 1.11 0.022074
Map2k1 −1.06 0.445888 1.10 0.078819 1.06 0.321980
Mapk3 −1.02 0.680433 −1.09 0.096201 −1.04 0.580686
Mapk9 −1.00 0.917290 1.16 0.065311 1.13 0.132737
Mtor 1.03 0.684468 1.24 0.049218 1.19 0.080924
Nampt 1.01 0.846387 1.02 0.732144 −1.02 0.896754
Nfkbia −1.09 0.318262 −1.16 0.065727 −1.17 0.069963
Nlrp3 −1.06 0.126789 1.24 0.126506 1.01 0.762575
Olr1 −1.38 0.504119 1.35 0.272188 1.33 0.287191
Pck1 −1.05 0.568571 1.31 0.077792 1.16 0.490821
Pde3b 1.02 0.825368 1.03 0.787814 −1.15 0.190104
Pdk2 1.14 0.394247 1.06 0.729603 −1.23 0.473372
Pdx1 −1.01 0.710029 1.24 0.100216 1.04 0.657469
Pik3ca −1.03 0.399336 −1.03 0.782751 1.01 0.744423
Pik3r1 1.52 0.033282 1.25 0.000901 1.18 0.034911
Ppara −1.02 0.792466 1.21 0.080647 1.02 0.722852
Pparg −1.08 0.093212 −1.03 0.865268 −1.03 0.216785
Ppargc1a 1.01 0.998904 1.07 0.594209 1.00 0.998558
Ptpn1 1.07 0.237874 1.29 0.032159 1.16 0.189144
Pycard 1.08 0.551026 1.42 0.036940 1.29 0.054659
Rbp4 −1.56 0.007272 1.06 0.482300 −1.07 0.751105
Rela −1.04 0.598118 1.03 0.646466 1.07 0.279014
Retn −1.10 0.204038 1.11 0.099451 1.10 0.388516
Rps6kb1 −1.58 0.002976 1.06 0.144979 1.11 0.004902
Scd1 1.05 0.821963 1.17 0.461504 1.18 0.410142
Serpine1 −1.03 0.820937 1.56 0.001029 1.37 0.043504
Slc27a1 1.01 0.929373 1.04 0.805979 1.13 0.317341
Slc2a4 1.04 0.761240 1.24 0.303759 1.15 0.331140
Socs3 −1.01 0.829376 1.27 0.021130 1.34 0.039503
Srebf1 1.10 0.340675 1.18 0.186347 1.11 0.348476
Srebf2 −1.01 0.876772 1.02 0.732351 1.12 0.368694
Stat3 −1.01 0.653690 1.27 0.002095 1.29 0.001880
Tlr4 1.03 0.737080 −1.05 0.492373 −1.03 0.761516
Tnf −1.22 0.480161 1.33 0.255783 −1.14 0.607219
Tnfrsf1a 1.02 0.425885 1.05 0.359944 1.15 0.089583
Tnfrsf1b −1.06 0.567979 −1.22 0.139907 −1.17 0.161986
Ucp1 1.01 0.881083 1.20 0.097531 1.05 0.631065
Vldlr 1.04 0.699680 −1.11 0.501624 −1.13 0.174714
Actb 1.01 0.777600 1.33 0.001409 1.33 0.001148
B2m −1.06 0.258822 −1.02 0.642430 1.05 0.470054
Gapdh 1.01 0.814693 1.21 0.004777 1.45 0.001734
Gusb 1.10 0.303910 1.28 0.021514 1.38 0.038612
Hsp90ab1 1.03 0.546044 1.19 0.049921 1.21 0.004717
Fig. 2.

Fig. 2

Number of genes significantly affected by treatment. A. The graph represents the number of statistically significant (p < 0.05) up- or down-regulated genes. B. Graph represents genes significantly up- or down-regulated within each treatment group, grouped by function.

1.3. Role of CAP1 in mediating insulin sensitivity actions of resistin in BNL Cl.2 cells

Transfection of the BNL CL.2 cells with CAP1 siRNA resulted in significant change in the expression levels of 24 genes. 23 of these were upregulated (Acsl1, Adipoq, Adipor2, Apoe, Ccr4, Cebpa, Crlf2, Cs, Cxcr4, Hk2, Igflr, Ikbkb, Jak2, Lepr, Lipe, Lta4h, Mtor, Pik3r1, Ptpn1, Pycard, Serpine1, Socs3, and Stat3), and one (Irs2) was downregulated (Fig. 1A). Divided by function, these genes participate in metabolic pathways (Acsl1, Apoe1, Cebpa, Cs, Hk2, Lepr, and Lipe), insulin signaling (Igf1r, Ikbkb, Mtor, Pik3r1, Ptpn1, Socs3, and Irs2), T2DM (Adipoq, Hk2, Ikbkb, Mtor, Pik3r1, Socs3, and Irs2), adipokine signaling (Adipoq, Adipor2, Ikbkb, Jak2, Lepr, Mtor, Serpine1, Socs3, Stat3, and Irs2), innate immunity (Ikbkb, Pycard, and Irs2), inflammation (ccr4, Cxcr4, Ikbkb, Lta4h, and Pycard), apoptosis (Ikbkb, Jak2, Pycard, Serpine1, Socs3, and Irs2), or are markers of infiltrated leukocytes (Ccr4 and Crlf2) (Fig. 1, Fig. 2B).

When CAP1 siRNA-transfected cells were treated with resistin, the expression of 13 genes was significantly affected: 12 genes (Acsl1, Adipor2, Hk2, Igf1r, Ikbkb, Jak2, Lta4h, Pik3r1, Rps6kb1, Serpine1, Socs3, and Stat3) were upregulated, and 1 gene (Irs2) was downregulated (Table 3 and Fig. 2A). Divided by function, these genes were involved in metabolic pathways (Acsl1 and Hk2), insulin signaling (Igf1r, Ikbkb, Pik3r1, Rps6kb1, Socs3, and Irs2), T2DM (Hk2, Ikbkb, Pik3r1, Socs3, and Irs2), adipokine signaling (Adipor2, Ikbkb, Jak2, Serpine1, Socs3, Stat3, and Irs2), innate immunity (Ikbkb and Irs2), inflammation (Ikbkb and Lta4h), or apoptosis (Ikbkb, Jak2, Rps6kb1, Serpine1, Socs3, and Irs2) (Table 3 and Fig. 1, Fig. 2B).

2. Experimental design, materials and methods

2.1. Reagents

Mouse recombinant resistin (Sigma-Aldrich, Cat. # SRP4560) was resuspended in water to a stock concentration of 100 μg/ml and further diluted to 25 μg/ml before cell treatment.

2.2. Cell culture

BNL CL.2 mouse liver cells were purchased from American Type Culture Collection (ATCC) (Cat. # TIB-73) and grown in Dulbecco's Modified Eagle's Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) (VWR International, Cat. # 89510–186) and antibiotic/antimycotic solution (Penicillin, Streptomycin, Amphotericin B) (Corning, Cat. # 30-004-Cl), and incubated at 37 °C with 10% CO2.

2.3. Experiment design

BNL CL.2 cells were seeded in 6-well tissue culture plates with 2 ml tissue culture medium, in a density of 0.5 × 10 [6] cells and grown for one day (to approximately 60% confluency). Resistin treatment was performed by adding 2 μl (25 μg/ml) resistin to the appropriate wells.

2.4. siRNA transfection

CAP1 siRNA transfection was performed using Opti-MEM Reduced Serum Medium (Gibco, Cat. # 31985–070), Lipofectamine RNAiMAX transfection reagent (Invitrogen, Cat. # 13778–075), and mouse CAP1 Silencer Select siRNA (Life Technologies, Cat. # 4390771, siRNA ID# s63297) following manufacturer's protocol. Transfection was performed for 6 hours; the cell culture medium was then replaced with complete medium for overnight cell growth.

2.5. RNA extraction and reverse transcription

After completing the experiments, the cells were washed one time with ice-cold PBS and RNA was extracted using TRIzol Reagent (Ambion, Cat. # 15596018), chloroform, and iso-propanol. Total RNA concentration was quantified using NanoDrop One spectrophotometer (Thermo Scientific). All of the samples were normalized to 1 mg/ml of total RNA. Reverse transcriptase (RT) reaction was performed using qScript cDNA SuperMix kit (QuantaBio, Cat. # 95048). RT reaction was performed using the following conditions: 25 °C/5 min, 42 °C/30 min, 85 °C/5 min, 4 °C/∞. After RT reaction, the cDNA samples were diluted 10 times with water.

2.6. Quantitative RT-PCR array

Quantitative RT-PCR array was performed using RT [2] SYBR Green ROX qPCR Mastermix (Qiagen) and RT [2] ProfilerTM PCR Array Mouse Insulin Resistance kit (QIAGEN, Cat. # PAMM-156ZA). Master mix for each plate consisted of: 1350 μl 2× RT2 SYBR Green Master Mix, 102 μl of cDNA, and 1248 μl of PCR grade water, and 25 μl of it was pipetted into each PCR plate well. Quantitative PCR was performed using the following conditions: hold stage: 50 °C/2 min, 95 °C/10 min; PCR stage: 95 °C/15 sec, 60 °C/1 min (40 cycles); melt curve stage: 60 °C/1 min, 95 °C/1 sec.

2.7. Data analysis

Results were obtained from 4 separate experiments. Data analysis was performed using QIAGEN web-based software (https://dataanalysis.qiagen.com). Fold change values were calculated using ΔΔCt method (2ˆ(-ΔΔCt)). p-values were calculated based on Student's t-test of the replicate 2ˆ(-ΔCt) values for each gene in the control group and the treatment groups.

Acknowledgements

This project was supported by a grant from Gerald J. and Dorothy Friedman New York Foundation for Medical Research.

Conflict of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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