Skip to main content
Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2005 Feb 3;102(7):2396–2401. doi: 10.1073/pnas.0409861102

RNA interference rescue by bacterial artificial chromosome transgenesis in mammalian tissue culture cells

Ralf Kittler 1, Laurence Pelletier 1, Chunling Ma 1, Ina Poser 1, Steffi Fischer 1, Anthony A Hyman 1, Frank Buchholz 1,*
PMCID: PMC548992  PMID: 15695330

Abstract

RNA interference (RNAi) is a widely used method for analysis of gene function in tissue culture cells. However, to date there has been no reliable method for testing the specificity of any particular RNAi experiment. The ideal experiment is to rescue the phenotype by expression of the target gene in a form refractory to RNAi. The transgene should be expressed at physiological levels and with its different splice variants. Here, we demonstrate that expression of murine bacterial artificial chromosomes in human cells provides a reliable method to create RNAi-resistant transgenes. This strategy should be applicable to all eukaryotes and should therefore be a standard technology for confirming the specificity of RNAi. We show that this technique can be extended to allow the creation of tagged transgenes, expressed at physiological levels, for the further study of gene function.

Keywords: off-target effects, loss-of-function experiment, interferon response, gene knockdown


RNA interference (RNAi) has become a widely used tool for functional genomic studies in vertebrates and invertebrates (1). RNAi works by silencing a gene through homologous short interfering dsRNAs (siRNAs), which trigger the destruction of corresponding mRNA by the RNA-induced silencing complex (RISC) (2). The ease, speed, and cost-effectiveness have made it the method of choice for loss-of-gene function studies. However, RNAi has produced a new set of problems in determining the specificity of the altered phenotype. Recent publications reported off-target effects that in addition to the targeted genes led to changes in the expression of other genes on both mRNA and protein level (35). Also, several authors reported the induction of genes involved in the IFN response machinery (69), further challenging the reliability of RNAi in loss-of-function studies.

Control experiments are therefore important to confirm the specificity of an RNAi phenotype (10). The ultimate way to be sure of the specificity of a loss-of-function phenotype is a rescue experiment (11). To perform such an experiment in mammalian cells, the reintroduced gene must be resistant to the trigger dsRNA. Ideally, this rescue gene should also be expressed within the physiological range. For other important model organisms such as yeast, rescue experiments can be easily achieved by using homologous recombination, thereby ensuring physiological expression of the rescue construct. The lack of efficient homologous recombination in mammalian cells makes this approach unpractical in this experimental system.

One approach to generate an RNAi-resistant construct is to create silent point mutations in the target site of the coding sequence or to target a sequence in the 3′ UTR of a cDNA, which is replaced in the rescue construct (12). Although this approach can work to achieve rescue of an RNAi phenotype, it has certain limitations (Table 1). First, this approach requires the availability of full-length high-quality cDNAs, and, although the list of full-length cDNA clones is growing, a clone may not be available for any given gene. Second, the cloning procedure to introduce a point mutation in the coding sequence or the replacement of the 3′ UTR is time consuming and expensive, especially for large transcripts. This shortcoming may be avoided by using a cross-species cDNA construct. Third, cDNAs do not allow the expression of alternatively spliced transcripts. Fourth, expression from vectors carrying cDNA inserts depends on the promoter used to drive the transgene expression. Most of these promoters are derived from viral or model vertebrate promoters that do not recapitulate physiological expression of most transgenes. This point may be critical for many rescue experiments, because inappropriate expression levels of a particular protein would either not rescue or could cause artifactual effects (10). Thus, a cDNA-based approach is not generally applicable and reliable for RNAi rescue experiments.

Table 1. Comparison of the cDNA and transgenic BAC approaches for generation of RNAi rescue constructs.

Method Modification of full-length cDNA clone inserts Use of transgenic BACs
Availability of rescue constructs Limited number of full-length ORF cDNAs High Bac coverage of the mouse/human genome
Expression level Dependent on artificial promoter Dependent on natural promoter
Often not physiological Physiological range
Transcriptional regulation No Yes
Alternative splicing No Yes

We propose a technology circumventing the problem of inefficient homologous recombination in mammalian cells by expressing an orthologous gene from a closely related species, including its regulatory sequences carried on a bacterial artificial chromosome (BAC). In contrast to cDNA expression constructs, the transfer of these large segments of genomic DNA speeds up the generation of transgenic cell lines and allows physiological expression and the generation of alternatively spliced variants of the transgene. Mouse geneticists have successfully used these advantages of large constructs for the generation of transgenic animals. For many years, cDNA constructs have been used to generate transgenic mice. Because of position effects, many founder lines needed to be tested to identify one with the appropriate expression pattern. The development of BAC technology for generation of transgenic mice has alleviated this problem to a large extent. Coupled with the development of methodology to specifically mutate large DNA molecules (13), now termed recombineering (14, 15), BACs are now the preferred choice to generate transgenic animals (16, 17).

Here, we establish BACs as rescue constructs for RNAi in mammalian tissue culture cells. The use of BACs carrying the orthologous gene from a closely related species confers RNAi resistance to the transgene. The cross-species strategy also abolishes the need for introducing point mutations or replacing the 3′ UTR. We establish this approach for human tissue culture cells by the use of mouse BACs. This experimental concept provides a standardized platform to check the specificity of any particular RNAi experiment. In addition, this technology mimics homologous recombination by depleting an endogenous gene by means of RNAi and replacing it with a transgene while maintaining normal gene expression. Therefore, our approach helps to turn mammalian tissue culture cells into a real genetic system that should be useful for protein localization studies, structure/function analyses, and the purification of protein complexes.

Methods

BAC Engineering. The BACs RP23-285E19 [harboring mouse SNW1 (mSNW1)], RP24-181C3A [harboring mouse DNAJA3 (mDNAJA3)], and RP24-351L1 [harboring mouse SPD2 (mSPD2)] were obtained from the BACPAC Resources Center (http://bacpac.chori.org). Neo/Kanr-dsRed and EGFP-IRES-Neo cassettes were PCR amplified with primers carrying 50 nucleotides of homology to the targeting sequence. Recombineering of the BACs was performed as described (18) (Gene Bridges, Dresden, Germany).

BAC Transfection. HeLa cells were seeded 16 h before transfection into 6-cm dishes with a density of 700,000 cells per well in 5 ml of medium (DMEM/10% FBS/2 mM glutamine/100 units/ml penicillin/100 μg/ml streptomycin). Transfection was performed with Effectene (Qiagen, Valencia, CA) by using 1 μg of super-coiled BAC DNA, purified with the large-construct kit (Qiagen). The cells were transferred 24 h later on 10-cm dishes and cultivated in selection medium containing 750 μg/ml geneticin (GIBCO).

Detection of DNAJA3 and SNW1 Expression. RNA was extracted from transgenic HeLa cells by using the RNeasy Mini Kit (Qiagen). cDNA was synthesized with SuperScript II reverse transcriptase (Invitrogen), and expression of the transgenes was detected by PCR by using the primers 5′-AGTCACCCACACAAGCACTG-3′/5′-AAGCTGTAAGCCGGGTCTTT-3′ (DNAJA3) and 5′-TGACCAAAGGCTCTTCAACC-3′/5′-CTGGACAAGGACATGTATGGTG-3′ (SNW1). The SNW1 PCR product was digested with SfaNI (New England Biolabs), and products were separated on a 3% agarose gel.

Endoribonuclease-Prepared siRNA (esiRNA) Synthesis. We generated esiRNA against a 3′ UTR fragment from human SNW1 (hSNW1) tagged with T7 promoter sequences on both sides (Fig. 5, which is published as supporting information on the PNAS web site). The template for in vitro transcription of firefly luciferase was generated as described elsewhere (19). EsiRNA was synthesized as described (20) with a modified purification procedure (21).

Quantification of hSNW1 Knockdown. WT HeLa cells and cells expressing mSNW1 were seeded 16 h before transfection into 12-well plates with a density of 20,000 cells per well in 1 ml of medium (DMEM/10% FBS/2 mM glutamine/100 units/ml penicillin/100 μg/ml streptomycin). Transfection was performed with Oligofectamine (Invitrogen) by using 0.5 μg of esiRNA targeting hSNW1 or firefly luciferase. Cells were harvested 48 h after transfection, and RNA extraction and cDNA synthesis were performed as described above.

hSNW1 mRNA expression was quantified by quantitative PCR by using the Brilliant SYBR Green system and the Mx4000 Multiplex Quantitative PCR system (Stratagene), by using the primers 5′-TCCTAATCCTCGGACTTCCA-3′/5′-GGGCCATATCTTTACCACCTC-3′. Expression levels of hSNW1 in cells transfected with hSNW1-specific esiRNA were normalized against the expression level of cells transfected with esiRNA targeting firefly luciferase.

Rescue Experiment. WT HeLa cells and cells expressing mSNW1 or mSPD2 were seeded 16 h before transfection into 96-well plates with a density of 2,000 cells per well in 100 μl of medium. Transfections were performed by using 50 ng of esiRNA (hSNW1), or 40 nM siRNA (hSPD2) and Oligofectamine (Invitrogen). The sequences of the hSPD2 siRNA (Ambion, Austin, TX) are 5′GGAAGACAUUUUCAUCUCUtt-3′ and 5′AGAGAUGAAAAUGUCUUCCtt-3′. Because of three mismatches to this sequence, the mouse transcript is not significantly silenced by this siRNA.

Cell viability was measured 96 h after transfection by using the WST-1 assay (Roche Diagnostics). Mitotic cells were counted 36 h posttransfection.

For visualization of the mitotic spindles, HeLa cells grown on coverslips were transfected as described above. Forty-eight hours after transfection, the cells were fixed and permeabilized in methanol at -20°C for 8 min. Cells were washed with PBS and incubated 10 min in PBS containing 0.2% fish skin gelatin (Sigma). Cells were incubated for 20 min with a mouse monoclonal antibody against tubulin (DM1, Sigma) either directly labeled with FITC or using a donkey anti-mouse antibody labeled with Texas red and mounted in the presence of DAPI (1 μg·ml-1) to visualize chromatin. Three-dimensional data sets were acquired on a DeltaVision imaging system (Applied Precision, Issaquah, WA) equipped with an Olympus (Melville, NY) IX70 microscope. Images were computationally deconvolved by using the softworx software package and shown as two-dimensional projections.

Results and Discussion

Generation of Transgenic Human Cell Lines. The mouse genome-sequencing project has produced overlapping large genomic constructs, including libraries of BACs. These constructs are typically larger than 100 kb, and most genes are available on a single BAC. Therefore, these constructs are well suited to express genes within their physiologically genetic “environment.” The proportion of human genes without any homologue currently detectable in the mouse genome is <1% (22). Therefore, the described methodology should be generally applicable to almost all human genes. Based on the BAC coverage and gene size in mouse, we estimate that BACs containing the genomic sequence of a gene and 20 kb of upstream sequence should be available for >90% of all genes. These BACs are available through several public resources and can be rapidly identified with open-access databases.

To allow rapid assessment of transfection efficiency and selection for stable integration of the mouse BAC in human cells, we designed a universal cassette carrying a neomycin/kanamycin selection marker and a red fluorescent protein (RFP) marker that carries homologous sequences to replace the chloramphenicol cassette on the BAC backbone by recombineering (14, 15). The incorporation of this cassette replaces the internal chloramphenicol resistance gene, thereby allowing a simple selection scheme to obtain successfully modified BACs, monitoring kanamycin resistance and chloramphenicol sensitivity (Fig. 1). All positive colonies analyzed had integrated the cassette at the intended locus, demonstrating the efficiency and simplicity of this approach. By using the universal cassette, the BAC modification can be streamlined and performed within 2 days, allowing rapid processing of many different BACs.

Fig. 1.

Fig. 1.

Experimental strategy of RNAi rescue by BAC transgenesis. RFP, red fluorescent protein; Kan/neor, kanamycin/neomycin resistance gene; Cmr, chloramphenicol resistance gene; ori, origin of replication; BB, BAC backbone; CSI-BAC, cross-species RNAi rescue-BAC.

The large size of BAC constructs makes them more difficult to transfect into mammalian cells than cDNA constructs. To monitor and optimize the transfection efficiency, we included the RFP gene in the replacement cassette. Based on the expression of RFP monitored 48 h after transfection, we obtained an average transfection efficiency of ≈2% with standard lipofection reagents, which was sufficient to obtain many clones that stably express the transgene (Fig. 6, which is published as supporting information on the PNAS web site).

We modified two BACs carrying the mouse orthologues of the two human genes SNW1 and DNAJA3. SNW1 is a transcription coactivator and pre-mRNA splicing factor (23) that we identified recently to be essential for cell division in human cells by a large scale RNAi screen (21). We showed that RNAi-mediated depletion of SNW1 in HeLa cells resulted in spindle and cytokinesis defects, suggesting a link between splicing and cell division. To test the specificity of this provocative knockdown phenotype, we generated a BAC transgenic cell line that expresses the mouse SNW1 gene. To test for alternative splicing of a murine gene in human cells, we chose the mouse orthologue of the human gene DNAJA3, a heat shock protein for which alternatively spliced transcripts have been reported (24).

Alternative Splicing and Physiological Expression of Murine Transgenes in Human Cells. To test whether alternative splicing of the murine DNAJA3 gene (mDNAJA3) would take place in human HeLa cells, we designed a primer pair specific for two isoforms, which should generate two PCR fragments of different length. RT-PCR using cDNA derived from HeLa cells that have stably integrated a BAC carrying mDNAJA3 revealed the expression of two products with the expected length for both splice isoforms, indicating successful alternative splicing of murine genes in human cells (Fig. 2a).

Fig. 2.

Fig. 2.

Expression and RNAi resistance of mouse transgenes. (a) Detection of expression and alternative splicing of mDNAJA3 by RT-PCR. Lane 1, the two bands (495-bp and 377-bp) amplified from cDNA of HeLa cells transfected and selected for a BAC carrying mDNAJA3 representing the two splice isoforms; lane 2, negative control (cDNA from WT HeLa cells); lane 3, non-template control. M, marker. (b) Expression levels of hSNW1 and mSNW1 in transgenic cells. The comparison of the band intensities indicates relative expression levels of hSNW1 and mSNW1. Lane 1, undigested 161-bp fragment from the same clone depicted in lane 2; lanes 2–11, SfaNI digestion products of a 161-bp fragment amplified from cDNA of 10 clones from HeLa cells transfected and selected for a BAC carrying mSNW1 (the upper band represents the uncut human-specific fragment, the lower band the mouse-specific fragment); lane 12, digested fragment generated from cDNA of WT HeLa cells. M, Marker. (c) Knockdown of hSNW1 in transgenic HeLa cells. hSNW1 expression after transfection of esiRNAs targeting hSNW1 and firefly luciferase. hSNW1 mRNA expression was quantified 2 days after transfection. Expression levels were normalized against hSNW1 expression of cells transfected with esiRNA targeting firefly luciferase. (d) Expression levels of hSNW1 and mSNW1 in transgenic HeLa cells. Lanes 1 and 2, SfaNI digestion products of the 161-bp fragment amplified from cDNA of transgenic HeLa cells transfected with esiRNA targeting firefly luciferase (lane 1) and hSNW1 (lane 2) (note the change of relative band intensities indicating the specific knockdown of hSNW1); lanes 3 and 4, undigested 161-bp fragment amplified from cDNA of transgenic HeLa cells transfected with esiRNA targeting firefly luciferase (lane 3) and hSNW1 (lane 2); lane 5, non-template control. M, marker.

To analyze and compare the expression levels of an endogenous human gene with the mouse transgene in human cells, we developed a PCR-based assay for SNW1. We chose a single primer pair that perfectly matches to both human (hSNW1) and mouse (mSNW1) cDNA. Both the human and the mouse fragments will be amplified proportional to their starting template number. We used a restriction fragment length polymorphism to distinguish between the expression from the human gene and the mouse transgene (Fig. 7, which is published as supporting information on the PNAS web site). The analysis of 10 transgenic clones revealed that 9 of 10 clones expressed mSNW1 at almost identical levels as hSNW1 (Fig. 2b).

Although regulatory elements such as CpG islands may differ in organization between human and mouse (25), gene expression patterns are strongly conserved for most genes of both species. Therefore, we expect that most mouse genes should be expressed at similar levels as their human orthologues. Also, most alternative splicing events are likely to be conserved between mouse and human (26).

Only very few genes of mouse and human should not be fully interchangeable, because they are either species-specific or display significant differences in protein structure and function. Species-specific gene expression in human and mouse is restricted to some genes involved in, e.g., immune and xenobiotic response, and for polymerase I-dependent transcription of rRNAs (2729). In such cases, one could alternatively rescue with a BAC carrying the same gene containing silent mutations or a modified 3′ UTR. This strategy could be realized with the experimental protocols described here and would require the generation of a specific construct for the recombineering step. This strategy would be more time-consuming than the described modification of the BAC backbone but would still allow physiological expression and alternative splicing of the gene of interest, and therefore would be preferable over a cDNA rescue approach.

Knockdown Specificity in Transgenic Cells Lines. To test the human-specific knockdown of SNW1 in transgenic cells, we generated an esiRNA (20) targeting a sequence fragment of the 3′ UTR of hSNW1. We tested the silencing efficiency of this esiRNA in WT HeLa cells by quantitative PCR and found a reduction of 90% at the mRNA level (Fig. 2c).

To check the specific knockdown of hSNW1 in the transgenic clones after esiRNA transfection, we analyzed the relative expression levels after transfection of the human-specific esiRNA using the same PCR-restriction fragment length polymorphism assay described above. We observed a strong reduction of the human-specific product compared with the mouse-specific product (Fig. 2d). These results indicate a specific and efficient knockdown of the human but not of the murine mRNA. We thus conclude that a mouse gene expressed from a BAC escapes RNAi triggered by human-specific siRNAs.

The RNAi resistance of the rescue gene is based on sequence differences between the transgenic mRNA and the siRNA(s) perfectly matching the endogenous mRNA. The number of nucleotide differences between mouse and human transcripts is in a range, which allows the design of siRNAs silencing only the human homologues. In particular, the 3′ UTR may be useful for this purpose, because this mRNA region exhibits a lower level of sequence similarity between mouse and human (average 71%) compared with coding sequences (average 86.4%) (30). This aspect may be critical, because imperfectly matching siRNAs can potentially hit multiple mRNAs based on microhomology at the 5′ end of the antisense strand and/or inhibit translation in a microRNA (miRNA)-like manner (31, 32). Because of its high degree of specificity (21), esiRNA is an excellent source for running down the endogenous gene while leaving the transgene expression unchanged. Hence, an independent esiRNA generated from the coding region of hSNW1 that shares 92% sequence identity with mSNW1 resulted in a similar reduction of hSNW1 transcripts while not affecting mSNW1 expression (data not shown).

Rescue of an RNAi Phenotype. Recently, we identified SNW1 as an indispensable gene for cell division in HeLa cells (21). The knockdown of SNW1 results in mitotic arrest and cytokinesis defects followed by apoptosis. To test whether the expression of the murine orthologue reverts the deleterious effect of the knockdown phenotype of human SNW1, we transfected esiRNA targeting hSNW1 into WT and mSNW1 BAC-transgenic HeLa cells. Transfection of human-specific esiRNA into WT cells resulted in markedly lower cell density, with many dead cells 96 h after transfection. In contrast, HeLa cells expressing mSNW1 grew essentially like WT cells transfected with esiRNA targeting firefly luciferase (Fig. 3 a–e). The analysis of the mitotic spindle morphology further revealed the reversion of the spindle defect phenotype in transgenic cells in comparison with WT cells upon depletion of hSNW1 (Fig. 3 f–j). We conclude that the expression of the mouse orthologue of a targeted human gene rescues the RNAi phenotype of SNW1. We have therefore confirmed the essential function of SNW1 and its cell division phenotype in HeLa cells.

Fig. 3.

Fig. 3.

Rescue experiment. (a–d) Phase contrast microscopic images of WT HeLa cells (a and c) and BAC transgenic HeLa cells expressing mSNW1 (b and d)96h after transfection with esiRNA targeting hSNW1 (c and d) and firefly luciferase as negative control (a and b). (e) Effect on cell viability of esiRNA targeting hSNW1. Cells were assayed 96 h after transfection. Shown is the reduction of cell viability as determined with the WST-1 assay normalized against the negative control luc (esiRNA directed against firefly luciferase). (f–i) WT HeLa cells (f and h) and BAC transgenic HeLa cells expressing mSNW1 (g and i) were transfected with esiRNA targeting hSNW1 (h and i) and firefly luciferase as negative control (f and g) and imaged by 3D deconvolution microscopy 48 h after transfection for tubulin (green) and DNA (blue). [Scale bars: 100 μm(a–d) and 5 μm(f–i).] (j) Frequency of aberrant spindles. We counted the frequency of aberrant spindles 48 h after transfection for 50 mitotic cells per coverslip. Error bars represent the standard variation. mSNW1-BAC, HeLa cells that have stably integrated the BAC carrying mSNW1; luc, esiRNA targeting firefly luciferase; hSNW1, esiRNA targeting hSNW1.

These data show that cross-species BAC transgenic cell lines allow easy, quick, and efficient confirmation of RNAi phenotypes. We demonstrated the proof-of-concept for the human–mouse system. In principle, this concept should be applicable for all closely related species among the eukaryotes, which are subject to RNAi-based functional studies, e.g., Caenorhabditis elegans–Caenorhabditis briggsae and Drosophila melanogaster–Drosophila yakuba.

BAC Gene Tagging and RNAi Rescue. In addition to loss-of-function and gain-of-function analyses, protein localization studies are an important tool in functional genomics. The use of GFP as a fusion tag has added great value to protein localization studies (33). In addition to localizing a protein to a cell compartment, it also allows us to study the dynamic behavior of a protein in living cells through the use of time-lapse video microscopy. In budding yeast, almost all ORFs have been GFP-tagged to provide a global view on protein localization in this organism (34). Importantly, in this study, the ORFs were targeted by means of homologous recombination to allow expression from their endogenous promoters. Hence, the fusion proteins were expressed at physiological levels, and, therefore, mislocalization due to overexpression of proteins was avoided.

In human tissue-culture cells, large scale GFP-tagging schemes have also begun providing insights into the localization of the mammalian proteome (35). In these studies, cDNA constructs, whose expression is typically driven by viral promoters, are used, and, as a consequence, the GFP-tagged genes are typically expressed at nonphysiological levels, which can lead to phenotypes and mislocalization (3638). Furthermore, the expression of cDNAs precludes the visualization of alternatively spliced variants, which may differ in their subcellular localization. However, for the reasons mentioned earlier, the use of modified BACs may overcome these limitations (Fig. 4a).

Fig. 4.

Fig. 4.

BAC tagging for functional studies in mammalian cell lines. (a) Diagram illustrating procedures. TAG, fusion sequence to investigate gene function (e.g., GFP); IRES, internal ribosome entry site; neo, kanamycin/neomycin resistance gene; r, resistance gene of the BAC; BB, BAC backbone. (b) HeLa cell line containing the mouse SPD2 BAC tagged with GFP stained for DNA (blue), microtubules (red), and GFP (green). Note the presence of mSPD2-GFP on both poles of the mitotic spindle. (c) WT HeLa cells or HeLa cells stably expressing the mSPD2 BAC tagged with GFP submitted to hSPD2 RNAi. Error bars represent the standard variation. Note that the percentage of mitotic cells present in HeLa mSPD2 BAC-containing cells is reduced compared with that observed in WT cells.

To test whether BAC-GFP tagging can be combined with cross-species RNAi rescue and thereby allow functional expression of the tagged protein in the absence of the endogenous protein, we inserted a GFP tag at the C terminus of the mouse homologue of the C. elegans SPD2 protein (39). Consistent with the localization pattern of SPD2 in C. elegans and its role in spindle assembly in the early embryo (39, 40), the human homologue of SPD2 (hSPD2) also localizes to the centrosome (41).

As was observed for the mSNW1 clones, most mSPD2 clones expressed the mouse transgene at equivalent levels to that of the endogenous human gene, and transfection of human-specific siRNA resulted in predominant silencing of the human transcript (data not shown). Immunofluorescence analysis of mSPD2 transgenic lines revealed that SPD2-GFP fluorescence was restricted to the mitotic spindle poles, suggesting that the tagging does not interfere with the subcellular localization of SPD2 (Fig. 4b). We next wanted to determine whether the murine SPD2-GFP BAC was able to complement functionally the human SPD2 gene. Consistent with its role in spindle assembly in C. elegans, the depletion of SPD2 in HeLa cells by RNAi leads to an increase in the mitotic index of cells from ≈5% in control transfected cells (data not shown) to ≈25% in cells treated with siRNA against SPD2 (Fig. 4c). In contrast, in cells expressing the mSPD2-GFP transgene, the mitotic index dropped considerably toward WT levels (Fig. 4c). These results demonstrate that tagging by BAC recombineering can be combined with RNAi to mimic homologous recombination in mammalian tissue culture cells. In particular the ability to introduce tagged transgenes on their own promoter, and to remove the endogenous gene function, heralds the era of mammalian tissue culture cell genetics.

Supplementary Material

Supporting Figures
pnas_102_7_2396__.html (2.3KB, html)

Acknowledgments

We thank E. Tanaka and D. Drechsel for critical reading and comments on the manuscript. We are grateful to the German Resource Center (Deutsches Ressourcenzentrum für Genomforschung) for providing useful reagents and to our colleagues in Mitocheck for helpful discussions. This study was supported by the Max Planck Society and by the European Union FP6 Mitocheck project (LSHG-CT-2004-503464). L.P. is supported by a postdoctoral fellowship from the Human Frontier Science Program.

Author contributions: R.K. and F.B. designed research; R.K., L.P., C.M., I.P., and S.F. performed research; R.K., L.P., A.A.H., and F.B. analyzed data; and R.K. and F.B. wrote the paper.

Abbreviations: mSNW1, mouse SNW1; hSNW1, human SNW1; mSPD2, mouse SPD2; siRNA, short interfering dsRNA; esiRNA, endoribonuclease-prepared siRNA; RNAi, RNA interference; BAC, bacterial artificial chromosome; RFP, red fluorescent protein.

References

  • 1.Carpenter, A. E. & Sabatini, D. M. (2004) Nat. Rev. Genet. 5, 11-22. [DOI] [PubMed] [Google Scholar]
  • 2.Dykxhoorn, D. M., Novina, C. D. & Sharp, P. A. (2003) Nat. Rev. Mol. Cell Biol. 4, 457-467. [DOI] [PubMed] [Google Scholar]
  • 3.Jackson, A. L., Bartz, S. R., Schelter, J., Kobayashi, S. V., Burchard, J., Mao, M., Li, B., Cavet, G. & Linsley, P. S. (2003) Nat. Biotechnol. 21, 635-637. [DOI] [PubMed] [Google Scholar]
  • 4.Persengiev, S. P., Zhu, X. & Green, M. R. (2004) RNA 10, 12-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Scacheri, P. C., Rozenblatt-Rosen, O., Caplen, N. J., Wolfsberg, T. G., Umayam, L., Lee, J. C., Hughes, C. M., Shanmugam, K. S., Bhattacharjee, A., et al. (2004) Proc. Natl. Acad. Sci. USA 101, 1892-1897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bridge, A. J., Pebernard, S., Ducraux, A., Nicoulaz, A. L. & Iggo, R. (2003) Nat. Genet. 34, 263-264. [DOI] [PubMed] [Google Scholar]
  • 7.Sledz, C. A., Holko, M., de Veer, M. J., Silverman, R. H. & Williams, B. R. (2003) Nat. Cell Biol. 5, 834-839. [DOI] [PubMed] [Google Scholar]
  • 8.Kim, D. H., Longo, M., Han, Y., Lundberg, P., Cantin, E. & Rossi, J. J. (2004) Nat. Biotechnol. 22, 321-325. [DOI] [PubMed] [Google Scholar]
  • 9.Pebernard, S. & Iggo, R. D. (2004) Differentiation (Berlin) 72, 103-111. [DOI] [PubMed] [Google Scholar]
  • 10.Hannon, G. J. & Rossi, J. J. (2004) Nature 431, 371-378. [DOI] [PubMed] [Google Scholar]
  • 11.Anonymous (2003) Nat. Cell Biol. 5, 489-490. [DOI] [PubMed] [Google Scholar]
  • 12.Lassus, P., Rodriguez, J. & Lazebnik, Y. (August 27, 2002) Sci. STKE, 10.1126/stke.2002.147.pl13. [DOI] [PubMed]
  • 13.Zhang, Y., Buchholz, F., Muyrers, J. P. & Stewart, A. F. (1998) Nat. Genet. 20, 123-128. [DOI] [PubMed] [Google Scholar]
  • 14.Muyrers, J. P., Zhang, Y. & Stewart, A. F. (2001) Trends Biochem. Sci. 26, 325-331. [DOI] [PubMed] [Google Scholar]
  • 15.Copeland, N. G., Jenkins, N. A. & Court, D. L. (2001) Nat. Rev. Genet. 2, 769-779. [DOI] [PubMed] [Google Scholar]
  • 16.Magdaleno, S. M. & Curran, T. (1999) Nat. Genet. 22, 319-320. [DOI] [PubMed] [Google Scholar]
  • 17.Giraldo, P. & Montoliu, L. (2001) Transgenic Res. 10, 83-103. [DOI] [PubMed] [Google Scholar]
  • 18.Zhang, Y., Muyrers, J. P., Testa, G. & Stewart, A. F. (2000) Nat. Biotechnol. 18, 1314-1317. [DOI] [PubMed] [Google Scholar]
  • 19.Kronke, J., Kittler, R., Buchholz, F., Windisch, M. P., Pietschmann, T., Bartenschlager, R. & Frese, M. (2004) J. Virol. 78, 3436-3446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yang, D., Buchholz, F., Huang, Z., Goga, A., Chen, C. Y., Brodsky, F. M. & Bishop, J. M. (2002) Proc. Natl. Acad. Sci. USA 99, 9942-9947. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kittler, R., Putz, G., Pelletier, L., Poser, I., Heninger, A.-K., Drechsel, D., Fischer, S., Konstantinova, I., Habermann, B., Grabner, H., et al. (2004) Nature 432, 1036-1040. [DOI] [PubMed] [Google Scholar]
  • 22.Waterston, R. H., Lindblad-Toh, K., Birney, E., Rogers, J., Abril, J. F., Agarwal, P., Agarwala, R., Ainscough, R., Alexandersson, M., An, P., et al. (2002) Nature 420, 520-562. [DOI] [PubMed] [Google Scholar]
  • 23.Zhang, C., Dowd, D. R., Staal, A., Gu, C., Lian, J. B., van Wijnen, A. J., Stein, G. S. & MacDonald, P. N. (2003) J. Biol. Chem. 278, 35325-35336. [DOI] [PubMed] [Google Scholar]
  • 24.Yin, X. & Rozakis-Adcock, M. (2001) Gene 278, 201-210. [DOI] [PubMed] [Google Scholar]
  • 25.Cuadrado, M., Sacristan, M. & Antequera, F. (2001) EMBO Rep. 2, 586-592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Thanaraj, T. A., Clark, F. & Muilu, J. (2003) Nucleic Acids Res. 31, 2544-2552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rehli, M. (2002) Trends Immunol. 23, 375-378. [DOI] [PubMed] [Google Scholar]
  • 28.Xie, W., Barwick, J. L., Downes, M., Blumberg, B., Simon, C. M., Nelson, M. C., Neuschwander-Tetri, B. A., Brunt, E. M., Guzelian, P. S. & Evans, R. M. (2000) Nature 406, 435-439. [DOI] [PubMed] [Google Scholar]
  • 29.Heix, J., Zomerdijk, J. C., Ravanpay, A., Tjian, R. & Grummt, I. (1997) Proc. Natl. Acad. Sci. USA 94, 1733-1738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Makalowski, W. & Boguski, M. S. (1998) Proc. Natl. Acad. Sci. USA 95, 9407-9412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Doench, J. G., Petersen, C. P. & Sharp, P. A. (2003) Genes Dev. 17, 438-442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Jackson, A. L. & Linsley, P. S. (2004) Trends Genet. 20, 521-524. [DOI] [PubMed] [Google Scholar]
  • 33.Chalfie, M., Tu, Y., Euskirchen, G., Ward, W. W. & Prasher, D. C. (1994) Science 263, 802-805. [DOI] [PubMed] [Google Scholar]
  • 34.Huh, W. K., Falvo, J. V., Gerke, L. C., Carroll, A. S., Howson, R. W., Weissman, J. S. & O'Shea, E. K. (2003) Nature 425, 686-691. [DOI] [PubMed] [Google Scholar]
  • 35.Simpson, J. C. & Pepperkok, R. (2003) Genome Biol. 4, 240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Lisenbee, C. S., Karnik, S. K. & Trelease, R. N. (2003) Traffic 4, 491-501. [DOI] [PubMed] [Google Scholar]
  • 37.Szebenyi, G., Smith, G. M., Li, P. & Brady, S. T. (2002) J. Neurosci. Res. 68, 185-198. [DOI] [PubMed] [Google Scholar]
  • 38.Garrido, J. J., Giraud, P., Carlier, E., Fernandes, F., Moussif, A., Fache, M. P., Debanne, D. & Dargent, B. (2003) Science 300, 2091-2094. [DOI] [PubMed] [Google Scholar]
  • 39.Pelletier, L., Ozlu, N., Hannak, E., Cowan, C., Habermann, B., Ruer, M., Muller-Reichert, T. & Hyman, A. A. (2004) Curr. Biol. 14, 863-873. [DOI] [PubMed] [Google Scholar]
  • 40.Kemp, C. A., Kopish, K. R., Zipperlen, P., Ahringer, J. & O'Connell, K. F. (2004) Dev. Cell 6, 511-523. [DOI] [PubMed] [Google Scholar]
  • 41.Andersen, J. S., Wilkinson, C. J., Mayor, T., Mortensen, P., Nigg, E. A. & Mann, M. (2003) Nature 426, 570-574. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting Figures
pnas_102_7_2396__.html (2.3KB, html)
pnas_102_7_2396__1.pdf (1.6MB, pdf)
pnas_102_7_2396__2.pdf (127.8KB, pdf)
pnas_102_7_2396__3.pdf (360.8KB, pdf)

Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

RESOURCES