Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs
Open accessAbstract
Transfection of small RNAs (such as small interfering RNAs (siRNAs) and microRNAs (miRNAs)) into cells typically lowers expression of many genes. Unexpectedly, increased expression of genes also occurs. We investigated whether this upregulation results from a saturation effect--that is, competition among the transfected small RNAs and the endogenous pool of miRNAs for the intracellular machinery that processes small RNAs. To test this hypothesis, we analyzed genome-wide transcript responses from 151 published transfection experiments in seven different human cell types. We show that targets of endogenous miRNAs are expressed at significantly higher levels after transfection, consistent with impaired effectiveness of endogenous miRNA repression. This effect exhibited concentration and temporal dependence. Notably, the profile of endogenous miRNAs can be largely inferred by correlating miRNA sites with gene expression changes after transfections. The competition and saturation effects have practical implications for miRNA target prediction, the design of siRNA and short hairpin RNA (shRNA) genomic screens and siRNA therapeutics.
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When multiple miRNAs are packaged within a single construct, they may compete for processing by the cellular miRNA biogenesis machinery, leading to reduced efficiency in individual miRNA maturation and function.
“Consistent with this possibility, when multiple miRNAs are packaged within a single construct, they may compete for processing by the cellular miRNA biogenesis machinery, leading to reduced efficiency in individual miRNA maturation and function 44,45 .”
From rAAV-mediated Multi-miRNA Delivery Targeting MAPK Pathway Suppresses Laser-induced Choroidal Neovascularization in Mice (2026) · cites this paper as [45]
The paper’s Abstract (page not available) proposes that transfected small RNAs compete with endogenous miRNAs for RISC or other downstream machinery, reducing endogenous miRNA function. It does not establish that multiple miRNAs packaged in one construct compete during processing or that their individual maturation is less efficient. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe high level of miRNA overexpression may not represent native miRNA targeting, as recent studies suggest limited abundance of AGO2 may drive competition between miRNAs for proper loading and function.
“the high level of over-expression may not represent native miRNA targeting as recent studies have suggested that limited abundance of AGO2 itself may drive competition between miRNAs for proper loading and function (Khan et al., 2009;Tan et al., 2019).”
From Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP (2022) · cites this paper as Khan et al., 2009
The paper proposes that transfected small RNAs compete with endogenous miRNAs for RISC or related machinery, and its Discussion warns that this can affect experiments used to assess miRNA targets (pages unavailable in our copy). It does not establish that AGO2 specifically is limiting or that competition for AGO2 loading is the mechanism; the Discussion says the precise mechanism remains unresolved. (LLM, conf=0.87)
Experimental — accuracy not yet measured
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Cites
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949 · see citing works
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626 · see citing works
Self-citationThe impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592 · see citing works
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429 · cited 2× · see citing works
“We collected data from four types of experiments: (i) transfection of a miRNA followed by mRNA profiling using microarrays [4,23,24,29,35,45]; (ii) transfection of an siRNA followed by mRNA profiling [18,19,26] ; (iii) inhibition of miRNA followed by mRNA profiling [32]; and (iv) transfection of miRNA followed by prot…”
A census of human cancer genes
Futreal, P. A., Coin, L., Marshall, M., Down, T., Hubbard, T., Wooster, R., Rahman, N., & Stratton, M. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1299 · Cited by 3,184 · see citing works
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010 · see citing works
Flagged first, then by citations
Research works printed but not linked: 44
- [1]Ruvkun G The perfect storm of tiny RNAs Nat Med 2008 14 10 1041 1045 18841145
- [2]Ambros V The functions of animal microRNAs Nature 2004 431 7006 350 355 15372042
- [3]Filipowicz W Bhattacharyya SN Sonenberg N Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? Nat Rev Genet 2008 9 2 102 114 18197166
- [4]He L Hannon GJ MicroRNAs: small RNAs with a big role in gene regulation Nat Rev Genet 2004 5 7 522 531 15211354
- [5]Tam W The emergent role of microRNAs in molecular diagnostics of cancer J Mol Diagn 2008 10 5 411 414 18687791 PMC2518735
- [6]Rossi J Zamore P Kay MA Wandering eye for RNAi Nat Med 2008 14 6 611 18535575
- [7]Leachman SA Therapeutic siRNAs for dominant genetic skin disorders including pachyonychia congenita J Dermatol Sci 2008 51 3 151 157 18495438 PMC2587483
- [8]Robbins M Misinterpreting the therapeutic effects of siRNA caused by immune stimulation Hum Gene Ther 2008 18713023
- [9]Grimm D Fatality in mice due to oversaturation of cellular microRNA/short hairpin RNA pathways Nature 2006 441 7092 537 541 16724069
- [10]Stewart CK Li J Golovan SP Adverse effects induced by short hairpin RNA expression in porcine fetal fibroblasts Biochem Biophys Res Commun 2008 370 1 113 117 18358831
- [11]McBride JL Artificial miRNAs mitigate shRNA-mediated toxicity in the brain: implications for the therapeutic development of RNAi Proc Natl Acad Sci U S A 2008 105 15 5868 5873 18398004 PMC2311380
- [12]John M Effective RNAi-mediated gene silencing without interruption of the endogenous microRNA pathway Nature 2007 449 7163 745 747 17898712 PMC3019095
- [13]Vankoningsloo S Gene expression silencing with 'specific' small interfering RNA goes beyond specificity - a study of key parameters to take into account in the onset of small interfering RNA off-target effects Febs J 2008 275 11 2738 2753 18422646
- [14]Castanotto D Combinatorial delivery of small interfering RNAs reduces RNAi efficacy by selective incorporation into RISC Nucleic Acids Res 2007 35 15 5154 5164 17660190 PMC1976469
- [15]Gruber J RNAi of FACE1 protease results in growth inhibition of human cells expressing lamin A: implications for Hutchinson-Gilford progeria syndrome J Cell Sci 2005 118 Pt 4 689 696 15671064
- [16]Wargelius A Ellingsen S Fjose A Double-stranded RNA induces specific developmental defects in zebrafish embryos Biochem Biophys Res Commun 1999 263 1 156 161 10486270
- [17]Oates AC Bruce AE Ho RK Too much interference: injection of double-stranded RNA has nonspecific effects in the zebrafish embryo Dev Biol 2000 224 1 20 28 10898958
- [18]Burchard J MicroRNA-like off-target transcript regulation by siRNAs is species specific Rna 2009 15 2 308 315 19144911 PMC2648714
- [19]Jackson AL Expression profiling reveals off-target gene regulation by RNAi Nat Biotechnol 2003 21 6 635 637 12754523
- [21]He L A microRNA component of the p53 tumour suppressor network Nature 2007 447 7148 1130 1134 17554337 PMC4590999
- [22]Cummins JM The colorectal microRNAome Proc Natl Acad Sci U S A 2006 103 10 3687 3692 16505370 PMC1450142
- [23]Lim LP Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs Nature 2005 433 7027 769 773 15685193
- [25]Jackson AL Widespread siRNA "off-target" transcript silencing mediated by seed region sequence complementarity Rna 2006 12 7 1179 1187 16682560 PMC1484447
- [26]Jackson AL Position-specific chemical modification of siRNAs reduces "off-target" transcript silencing Rna 2006 12 7 1197 1205 16682562 PMC1484422
- [27]Ventura A Jacks T MicroRNAs and cancer: short RNAs go a long way Cell 2009 136 4 586 591 19239879 PMC3910108
- [28]Mayr C Hemann MT Bartel DP Disrupting the pairing between let-7 and Hmga2 enhances oncogenic transformation Science 2007 315 5818 1576 1579 17322030 PMC2556962
- [29]Linsley PS Transcripts targeted by the microRNA-16 family cooperatively regulate cell cycle progression Mol Cell Biol 2007 27 6 2240 2252 17242205 PMC1820501
- [30]Bonci D The miR-15a-miR-16-1 cluster controls prostate cancer by targeting multiple oncogenic activities Nat Med 2008 14 11 1271 1277 18931683
- [32]Elmen J Antagonism of microRNA-122 in mice by systemically administered LNA-antimiR leads to up-regulation of a large set of predicted target mRNAs in the liver Nucleic Acids Res 2008 36 4 1153 1162 18158304 PMC2275095
- [33]Jackson AL Linsley PS Noise amidst the silence: off-target effects of siRNAs? Trends Genet 2004 20 11 521 524 15475108
- [35]Grimson A MicroRNA targeting specificity in mammals: determinants beyond seed pairing Mol Cell 2007 27 1 91 105 17612493 PMC3800283
- [36]John B Human MicroRNA targets PLoS Biol 2004 2 11 e363 15502875 PMC521178
- [37]Sandberg R Proliferating cells express mRNAs with shortened 3' untranslated regions and fewer microRNA target sites Science 2008 320 5883 1643 1647 18566288 PMC2587246
- [38]Stenvang J Lindow M Kauppinen S Targeting of microRNAs for therapeutics Biochem Soc Trans 2008 36 Pt 6 1197 1200 19021524
- [39]Fabani MM Gait MJ miR-122 targeting with LNA/2'-O-methyl oligonucleotide mixmers, peptide nucleic acids (PNA), and PNA-peptide conjugates Rna 2008 14 2 336 346 18073344 PMC2212241
- [40]Lupberger J Brino L Baumert TF RNAi: a powerful tool to unravel hepatitis C virus-host interactions within the infectious life cycle J Hepatol 2008 48 3 523 525 18192054
- [41]Palliser D An siRNA-based microbicide protects mice from lethal herpes simplex virus 2 infection Nature 2006 439 7072 89 94 16306938
- [42]Shibata MA Combination therapy with short interfering RNA vectors against VEGF-C and VEGF-A suppresses lymph node and lung metastasis in a mouse immunocompetent mammary cancer model Cancer Gene Ther 2008 15 12 776 786 18654613
- [43]Elmen J LNA-mediated microRNA silencing in non-human primates Nature 2008 452 7189 896 899 18368051
- [44]Corsten MF MicroRNA-21 knockdown disrupts glioma growth in vivo and displays synergistic cytotoxicity with neural precursor cell delivered S-TRAIL in human gliomas Cancer Res 2007 67 19 8994 9000 17908999
- [46]Vella MC Reinert K Slack FJ Architecture of a validated microRNA::target interaction Chem Biol 2004 11 12 1619 1623 15610845
- [47]Didiano D Hobert O Molecular architecture of a miRNA-regulated 3' UTR Rna 2008 14 7 1297 1317 18463285 PMC2441980
- [48]Cummins JM Velculescu VE Implications of micro-RNA profiling for cancer diagnosis Oncogene 2006 25 46 6220 6227 17028602
- [50]Gauthier NP Cyclebase.org--a comprehensive multi-organism online database of cell-cycle experiments Nucleic Acids Res 2008 36 Database issue D854 D859 17940094 PMC2238932
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- Authors
- Khan, A. A., Betel, D., Miller, M. L., Sander, C., Leslie, C. S., & Marks, D. S.
- Affiliations
- Columbia University (US)
- Memorial Sloan Kettering Cancer Center (US)
- University of Copenhagen (DK)
- Harvard University (US)
- Corresponding author
- Leslie, Christina S
- Marks, Debora S
- Venue
- Nature Biotechnology
- Published
- 2009-05-24
- Volume
- 27
- Issue
- 6
- Pages
- 549-555
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC2782465
- OpenAlex
- W2020469175
- Cited by
- 534
- References
- 6
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 24 · 2023: 21 · 2022: 27 · 2021: 21 · 2020: 27 · 2019: 24 · 2018: 29 · 2017: 25 · 2016: 28 · 2015: 41 · 2014: 44 · 2013: 46 · 2012: 48
- FWCI
- 15.77
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- National Institutes of Health (5r01ca124380-04)
- National Cancer Institute (U54CA121852, CA121852., CA124380)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Keywords
- transfection, siRNA, microRNA, endogenous microRNAs, gene upregulation, saturation effects, RNA interference, gene expression profiling, miRNA target prediction, siRNA design, shRNA screen, siRNA therapeutics
- MeSH terms
- Cell Line, Gene Expression Regulation, Humans, Models, Genetic, Transfection, Up-Regulation, Statistics, Nonparametric, Genes, cdc, Gene Expression Profiling, RNA, Small Interfering, RNA-Induced Silencing Complex, MicroRNAs, Cell Line, Tumor, Gene Knockdown Techniques
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