High-throughput RNAi screening in cultured cells: a user's guide

Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans

Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429

Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells

Elbashir, S. M., Harborth, J., Lendeckel, W., Yalcin, A., Weber, K., & Tuschl, T. (2001) · Nature · doi:10.1038/35078107 · Cited by 9,456

A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays.

Zhang, J.-H., Chung, T. D. Y., & Oldenburg, K. R. (1999) · SLAS Discovery · doi:10.1177/108705719900400206 · Cited by 6,847

The nuclear RNase III Drosha initiates microRNA processing

Lee, Y., Ahn, C., Han, J., Choi, H., Kim, J., Yim, J., Lee, J., Provost, P., Rådmark, O., Kim, S., et al. (2003) · Nature · doi:10.1038/nature01957 · Cited by 5,299

A Species of Small Antisense RNA in Posttranscriptional Gene Silencing in Plants

Hamilton, A. J., & Baulcombe, D. C. (1999) · Science · doi:10.1126/science.286.5441.950 · Cited by 3,100

The Microprocessor complex mediates the genesis of microRNAs

Gregory, R. I., Yan, K.-P., Amuthan, G., Chendrimada, T. P., Doratotaj, B., Cooch, N. S., & Shiekhattar, R. (2004) · Nature · doi:10.1038/nature03120 · Cited by 2,851

Processing of primary microRNAs by the Microprocessor complex

Denli, A. M., Tops, B. B. J., Plasterk, R. H. A., Ketting, R. F., & Hannon, G. J. (2004) · Nature · doi:10.1038/nature03049 · Cited by 2,784

Nuclear Export of MicroRNA Precursors

Lund, E., Güttinger, S., Calado, Â., Dahlberg, J. E., & Kutay, U. (2003) · Science · doi:10.1126/science.1090599 · Cited by 2,705

Expression profiling reveals off-target gene regulation by RNAi

Jackson, A. L., Bartz, S. R., Schelter, J., Kobayashi, S. V., Burchard, J., Mao, M., Li, B., Cavet, G., & Linsley, P. S. (2003) · Nature Biotechnology · doi:10.1038/nbt831 · Cited by 2,370

TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing

Chendrimada, T. P., Gregory, R. I., Kumaraswamy, E., Norman, J. A., Cooch, N. S., Nishikura, K., & Shiekhattar, R. (2005) · Nature · doi:10.1038/nature03868 · Cited by 2,195

Concise Review: A High-Content Screening Approach to Stem Cell Research and Drug Discovery

Xia, X., & Wong, S. T. C. (2012) · Stem Cells · doi:10.1002/stem.1168 · Cited by 45

Single‐cell‐based image analysis of high‐throughput cell array screens for quantification of viral infection

Matula, P., Kumar, A., Wörz, I., Erfle, H., Bartenschlager, R. F. W., Eils, R., & Rohr, K. (2008) · Cytometry Part A · doi:10.1002/cyto.a.20662 · Cited by 42

pHUSH: a single vector system for conditional gene expression

Gray, D. C., Hoeflich, K. P., Peng, L., Gu, Z., Gogineni, A., Murray, L. J., Eby, M., Kljavin, N. M., Seshagiri, S., Cole, M. J., et al. (2007) · BMC Biotechnology · doi:10.1186/1472-6750-7-61 · Cited by 41

Cell-Based Screening: Extracting Meaning from Complex Data

Finkbeiner, S. M., Frumkin, M. A., & Kassner, P. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.023 · Cited by 40

Superhydrophilic–Superhydrophobic Patterned Surfaces as High‐Density Cell Microarrays: Optimization of Reverse Transfection

Ueda, E., Feng, W., & Levkin, P. A. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600518 · Cited by 40

A genome-wide RNA interference screen identifies new regulators of androgen receptor function in prostate cancer cellsPreprint

Imberg-Kazdan, K., Ha, S., Greenfield, A., Poultney, C. S., Bonneau, R., Logan, S. K., & Garabedian, M. J. (2013) · Genome Research · doi:10.1101/gr.144774.112 · Cited by 40

Comprehensive Genetic Dissection of the Hemocyte Immune Response in the Malaria Mosquito Anopheles gambiae

Lombardo, F., Ghani, Y., Kafatos, F. C., & Christophides, G. K. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003145 · Cited by 39

Bio-chip for spatially controlled transfection of nucleic acid payloads into cells in a culture

Jain, T., & Muthuswamy, J. (2007) · Lab on a Chip · doi:10.1039/b707479d · Cited by 39

Factors Affecting Reproducibility between Genome-Scale siRNA-Based Screens

Barrows, N. J., Sommer, C., García-Blanco, M. A., & Pearson, J. L. (2010) · SLAS DISCOVERY · doi:10.1177/1087057110374994 · Cited by 39

Use of RNA Interference to Investigate Cytokine Signal Transduction in Pancreatic Beta Cells

Moore, F., Cunha, D. A., Mulder, H., & Eizirik, D. L. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-439-1_11 · Cited by 38

Optimized PCR Conditions and Increased shRNA Fold Representation Improve Reproducibility of Pooled shRNA Screens

Strezoska, Ž., Licon, A., Haimes, J. D., Spayd, K. J., Patel, K. M., Sullivan, K., Jastrzebski, K., Simpson, K. J., Leake, D., Smith, A. V. B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042341 · Cited by 38

A case study of the reproducibility of transcriptional reporter cell-based RNAi screens in Drosophila

DasGupta, R., Nybakken, K. E., Booker, M. A., Mathey-Prévôt, B., Gonsalves, F. C., Changkakoty, B., & Perrimon, N. (2007) · Genome biology · doi:10.1186/gb-2007-8-9-r203 · Cited by 38

RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods

Sypetkowski, M., Rezanejad, M., Saberian, S., Kraus, O. Z., Urbanik, J., Taylor, J., Mabey, B., Victors, M. L., Yosinski, J., Sereshkeh, A. R., et al. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00451 · Cited by 47

Identification of Genes Required for Neural-Specific Glycosylation Using Functional Genomics

Yamamoto‐Hino, M., Kanie, Y., Awano, W., Aoki-Kinoshita, K. F., Yano, H., Nishihara, S., Okano, H., Ueda, R., Kanie, O., & Goto, S. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001254 · Cited by 36

Functional Genomic Strategies for Elucidating Human–Virus Interactions

Perreira, J. M., Meraner, P., & Brass, A. L. (2016) · Advances in virus research · doi:10.1016/bs.aivir.2015.11.001 · Cited by 39

Identifying HIV-1 host cell factors by genome-scale RNAi screening.

Pache, L., König, R., & Chanda, S. (2011) · Methods · doi:10.1016/j.ymeth.2010.07.009 · Cited by 44

Analysis of Nonsense‐Mediated mRNA Decay in Mammalian Cells

Nicholson, P., Joncourt, R., & Mühlemann, O. (2012) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb2704s55 · Cited by 35

Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble

Zhang, B., & Pham, T. D. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-128 · Cited by 33

Haplotype-resolved genome assembly enables gene discovery in the red palm weevil Rhynchophorus ferrugineus

Dias, G. B., Altammami, M. A., El‐Shafie, H. A. F., Alhoshani, F. M., Al‐Fageeh, M. B., Bergman, C., & Manee, M. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-89091-w · Cited by 35

Cationic nano-copolymers mediated IKKβ targeting siRNA to modulate wound healing in a monkey model of glaucoma filtration surgery.

Ye, H.-H., Qian, Y., Lin, M., Duan, Y., Sun, X., Zhuo, Y., & Ge, J. (2010) · PubMed Central · Cited by 33

Genome-wide screening using RNA interference to study host factors in viral replication and pathogenesis

Houzet, L., & Jeang, K. (2011) · Experimental Biology and Medicine · doi:10.1258/ebm.2010.010272 · Cited by 32

Increasing the Robustness and Validity of RNAi Screens

Haney, S. A. (2007) · Pharmacogenomics · doi:10.2217/14622416.8.8.1037 · Cited by 32

Host Cell S Phase Restricts Legionella pneumophila Intracellular Replication by Destabilizing the Membrane-Bound Replication Compartment

Jesús-Díaz, D. A. D., Murphy, C. S., Sol, A., Dorer, M. S., & Isberg, R. R. (2017) · mBio · doi:10.1128/mbio.02345-16 · Cited by 31

Generating and working with Drosophila cell cultures: Current challenges and opportunities

Luhur, A., Klueg, K. M., & Zelhof, A. C. (2018) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.339 · Cited by 31

ATM, the Mre11/Rad50/Nbs1 complex, and topoisomerase I are concentrated in the nucleus of Purkinje neurons in the juvenile human brain

Gorodetsky, E. K., Calkins, S. M., Ahn, J., & Brooks, P. J. (2007) · DNA repair · doi:10.1016/j.dnarep.2007.06.011 · Cited by 31

A kinetic model for RNA-interference of focal adhesions

Hoffmann, M., & Schwarz, U. S. (2013) · BMC Systems Biology · doi:10.1186/1752-0509-7-2 · Cited by 31

A real-time compression library for microscopy imagesPreprint

Balázs, B., Deschamps, J. R., Albert, M., Ries, J., & Hufnagel, L. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/164624 · Cited by 30

Functional genomic and high-content screening for target discovery and deconvolution

Heynen‐Genel, S., Pache, L., Chanda, S. K., & Rosen, J. (2012) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2012.711311 · Cited by 28

Retroviral microarray-based platform on nanostructured TiO2 for functional genomics and drug discovery

Carbone, R., Giorgetti, L., Zanardi, A., Marangi, I., Chierici, E., Bongiorno, G. A., Fiorentini, F., Faretta, M., Piseri, P., Pelicci, P. G., et al. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.12.026 · Cited by 29

RNAi in Drosophila S2 Cells as a Tool for Studying Cell Cycle Progression

Bettencourt‐Dias, M., & Goshima, G. (2009) · Methods in molecular biology · doi:10.1007/978-1-60327-993-2_3 · Cited by 29

From Single Genes to Gene Networks: High-Throughput-High-Content Screening for Neurological Disease

Jain, S., & Heutink, P. (2010) · Neuron · doi:10.1016/j.neuron.2010.10.010 · Cited by 30

RNAi-induced off-target effects in Drosophila melanogaster: frequencies and solutions

Seinen, E., Burgerhof, J. G. M., Jansen, R., & Sibon, O. C. M. (2011) · Briefings in Functional Genomics · doi:10.1093/bfgp/elr017 · Cited by 28

RNA interference technology to improve the baculovirus-insect cell expression system

Chavez-Pena, C., & Kamen, A. (2018) · Biotechnology Advances · doi:10.1016/j.biotechadv.2018.01.008 · Cited by 28

Antiviral Stratagems against HIV-1 Using RNA Interference (RNAi) Technology

Vlachakis, D., Tsiliki, G., Pavlopoulou, A., Roubelakis, M. G., Tsaniras, S. C., & Κοσσίδα, Σ. (2013) · Evolutionary Bioinformatics · doi:10.4137/ebo.s11412 · Cited by 27

Spz/Toll-6 signal guides organotropic metastasis in Drosophila

Mishra-Gorur, K., Li, D., Ma, X., Yarman, Y., Xue, L., & Xu, T. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.039727 · Cited by 26

RNA Interference in Ticks

Karim, S., & Adamson, S. W. (2012) · Advances in insect physiology · doi:10.1016/b978-0-12-387680-5.00004-5 · Cited by 26

Systems biology approaches to dissect mammalian innate immunity

Shapira, S. D., & Hacohen, N. (2010) · Current Opinion in Immunology · doi:10.1016/j.coi.2010.10.022 · Cited by 25

CRISP-view: a database of functional genetic screens spanning multiple phenotypes

Cui, Y., Cheng, X., Chen, Q., Song, B., Chiu, A., Gao, Y., Dawson, T., Chao, L., Zhang, W., Li, D., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa809 · Cited by 24

RNA interference screening for the discovery of oncology targets

Quon, K. C., & Kassner, P. D. (2009) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728220903179338 · Cited by 24

SOD1 activity threshold and TOR signalling modulate VAP(P58S) aggregation via ROS-induced proteasomal degradation in a Drosophila model of Amyotrophic Lateral Sclerosis

Chaplot, K., Pimpale, L. G., Ramalingam, B., Deivasigamani, S., Kamat, S. S., & Ratnaparkhi, G. S. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.033803 · Cited by 22

Systematic exploration of cancer‐associated microRNA through functional screening assays

Izumiya, M., Tsuchiya, N., Okamoto, K., & Nakagama, H. (2011) · Cancer Science · doi:10.1111/j.1349-7006.2011.02007.x · Cited by 24

Functional Genomic Characterization of Cancer GenomesPreprint

Howard, T. P., Vázquez, F., Tsherniak, A., Hong, A. L., Rinne, M. L., Aguirre, A. J., Boehm, J. S., & Hahn, W. C. (2016) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2016.81.031070 · Cited by 24

Fusion dsRNA designs incorporating multiple target sequences can enhance the aphid control capacity of an RNAi ‐based strategy

Wang, Z., Qin, C., Chen, Y., Yu, X., Chen, R., Niu, J., & Wang, J. (2024) · Pest Management Science · doi:10.1002/ps.7975 · Cited by 26

Liquid‐Phase RNA Synthesis by Using Alkyl‐Chain‐Soluble Support

Kim, S., Matsumoto, M., & Chiba, K. (2013) · Chemistry - A European Journal · doi:10.1002/chem.201300655 · Cited by 23

iCSDB: an integrated database of CRISPR screens

Choi, A., Jang, I., Han, H., Kim, M., Choi, J., Lee, J. L., Cho, S., Jun, Y., Lee, C., Kim, J., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa989 · Cited by 25

High-Throughput siRNA Screening as a Method of Perturbation of Biological Systems and Identification of Targeted Pathways Coupled with Compound Screening

Kiefer, J., Yin, H. H., Que, Q. Q., & Mousses, S. (2009) · Methods in molecular biology · doi:10.1007/978-1-60761-175-2_15 · Cited by 23

Knockdown of EIF3D suppresses proliferation of human melanoma cells through G2/M phase arrest

Li, H., Zhou, F., Wang, H., Lin, D., Chen, G., Zuo, X., Sun, L., Zhang, X., & Yang, S. (2014) · Biotechnology and Applied Biochemistry · doi:10.1002/bab.1305 · Cited by 23

Posterior Association Networks and Functional Modules Inferred from Rich Phenotypes of Gene Perturbations

Wang, X., Castro, M. A. A., Mulder, K. W., & Markowetz, F. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002566 · Cited by 22

Steroid Hormone Control of Cell Death and Cell Survival: Molecular Insights Using RNAi

Chittaranjan, S., McConechy, M. M., Hou, Y. C., Freeman, J., DeVorkin, L., & Gorski, S. M. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000379 · Cited by 21

Zinc Detoxification: A Functional Genomics and Transcriptomics Analysis in Drosophila melanogaster Cultured Cells

Mohr, S. E., Rudd, K., Hu, Y., Song, W., Gilly, Q., Buckner, M., Housden, B. E., Kelley, C., Zirin, J. D., Tao, R., et al. (2017) · G3 Genes Genomes Genetics · doi:10.1534/g3.117.300447 · Cited by 21

Nrsf silencing induces molecular and subcellular changes linked to neuronal plasticity

Lepagnol-Bestel, A.-M., Maussion, G., Ramoz, N., Moalic, J., Gorwood, P. A. P. M., & Simonneau, M. (2007) · Neuroreport · doi:10.1097/wnr.0b013e328011dc81 · Cited by 22

RNAi Screening in Primary Human Hepatocytes of Genes Implicated in Genome-Wide Association Studies for Roles in Type 2 Diabetes Identifies Roles for CAMK1D and CDKAL1, among Others, in Hepatic Glucose Regulation

Haney, S. A., Zhao, J., Tiwari, S., Eng, K., Guey, L. T., & Tien, E. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064946 · Cited by 22

Experimental approaches to identify genetic networks

Costanzo, M., Giaever, G. N., Nislow, C., & Andrews, B. (2006) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2006.08.005 · Cited by 22

CRISPR-Based Approaches for the High-Throughput Characterization of Long Non-Coding RNAs

Hazan, J. M., & Bester, A. C. (2021) · Non-Coding RNA · doi:10.3390/ncrna7040079 · Cited by 22

An In Vivo Functional Screen Identifies JNK Signaling As a Modulator of Chemotherapeutic Response in Breast Cancer

Ashenden, M., van Weverwijk, A., Murugaesu, N., Fearns, A., Campbell, J., Gao, Q., Iravani, M., & Isacke, C. M. (2017) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-16-0731 · Cited by 23

Layer-by-layer assembly of small interfering RNA and poly(ethyleneimine) for substrate-mediated electroporation with high efficiency

Fujimoto, H., Kato, K., & Iwata, H. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3648-1 · Cited by 21

Drosophila Genome-wide RNAi Screens: Are They Delivering the Promise?Preprint

Mathey-Prévôt, B., & Perrimon, N. (2006) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2006.71.027 · Cited by 22

RNAi Screening-based Identification of USP10 as a Novel Regulator of Paraptosis

Kim, J. Y., Lee, D. M., Woo, H. G., Kim, K. D., Lee, H. J., Kwon, Y., & Choi, K. S. (2019) · Scientific Reports · doi:10.1038/s41598-019-40982-z · Cited by 20

Discovering antiviral restriction factors and pathways using genetic screens

Jones, C. E., Tan, W. S., Grey, F. E., & Hughes, D. J. (2021) · Journal of General Virology · doi:10.1099/jgv.0.001603 · Cited by 20

Pooled RNAi Screens - Technical and Biological Aspects

Boettcher, M., & Hoheisel, J. D. (2010) · Current Genomics · doi:10.2174/138920210791110988 · Cited by 20

PubChem3D: Biologically relevant 3-D similarity

Kim, S., Bolton, E., & Bryant, S. H. (2011) · Journal of Cheminformatics · doi:10.1186/1758-2946-3-26 · Cited by 20

Applications of RNA interference high-throughput screening technology in cancer biology and virology

Gao, S., Yang, C., Jiang, S., Xu, X.-N., Lu, X., He, Y.-W., Cheung, A., & Wang, H. (2014) · Protein & Cell · doi:10.1007/s13238-014-0076-6 · Cited by 17

Targeting lymphatic vessel functions through tyrosine kinases

Williams, S. P., Karnezis, T., Achen, M. G., & Stacker, S. A. (2010) · Vascular Cell · doi:10.1186/2040-2384-2-13 · Cited by 18

Cellular activity of siRNA oligonucleotides containing synthetic isomorphic nucleoside surrogates

Shin, D., Lönn, P., Dowdy, S. F., & Tor, Y. (2014) · Chemical Communications · doi:10.1039/c4cc08809c · Cited by 18

Illuminating the host – How RNAi screens shed light on host‐pathogen interactions

Prudêncio, M., & Lehmann, M. (2009) · Biotechnology Journal · doi:10.1002/biot.200900071 · Cited by 18

Genes Associated With Prognosis After Surgery For Malignant Pleural Mesothelioma Promote Tumor Cell Survival In Vitro

Gordon, G. J., Bueno, R., & Sugarbaker, D. J. (2011) · BMC Cancer · doi:10.1186/1471-2407-11-169 · Cited by 18

An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling

Wang, J., Zhou, X., Li, F., Bradley, P. L., Chang, S., Perrimon, N., & Wong, S. T. C. (2008) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.04.007 · Cited by 17

The Complete Automation of Cell Culture: Improvements for High-Throughput and High-Content Screening

Jain, S., Sondervan, D., Rizzu, P., Bochdanovits, Z., Caminada, D., & Heutink, P. (2011) · SLAS DISCOVERY · doi:10.1177/1087057111413920 · Cited by 17

The Cytoskeletal Regulator Zyxin is Required for Viability in Drosophila melanogaster

Renfranz, P. J., Blankman, E., & Beckerle, M. C. (2010) · The Anatomical Record · doi:10.1002/ar.21193 · Cited by 17

Deciphering Combinatorial Genetics

Wong, A. S. L., Choi, G. C. G., & Lu, T. K. (2016) · Annual Review of Genetics · doi:10.1146/annurev-genet-120215-034902 · Cited by 17

Transfected cell microarrays: an efficient tool for high-throughput functional analysis

Starkuviene, V., Pepperkok, R., & Erfle, H. (2007) · Expert Review of Proteomics · doi:10.1586/14789450.4.4.479 · Cited by 17

Monitoring miRNA-mediated silencing in Drosophila melanogaster S2-cells

SHAH, C., & Förstemann, K. (2008) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2008.06.008 · Cited by 17

A knockdown gene approach identifies an insect vector membrane protein with leucin-rich repeats as one of the receptors for the VmpA adhesin of flavescence dorée phytoplasma

Canuto, F., Duret, S., Dubrana, M.-P., Claverol, S., Malembic-Maher, S., Foissac, X., & Arricau-Bouvery, N. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1289100 · Cited by 16

An Efficient and Fully Automated High-Throughput Transfection Method for Genome-Scale siRNA Screens

Chung, N., Locco, L., Huff, K. W., Bartz, S. R., Linsley, P. S., Ferrer, M., & Strulovici, B. (2008) · SLAS DISCOVERY · doi:10.1177/1087057107312032 · Cited by 16

Target discovery screens using pooled shRNA libraries and next-generation sequencing: A model workflow and analytical algorithm

Schaefer, C., Mallela, N., Seggewiß, J., Lechtape, B., Omran, H., Dirksen, U., Korsching, E., & Potratz, J. C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191570 · Cited by 16

Small regulatory noncoding RNAs in Drosophila melanogaster: biogenesis and biological functions

Soleimani, S., Arshad, V., Moradi, S., Ahmadi, A., Davarpanah, S. J., & Jamalkandi, S. A. (2020) · Briefings in Functional Genomics · doi:10.1093/bfgp/elaa005 · Cited by 16

A Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster

Han, Y., Venkatesan, K., Beaver, J. E., Klitgord, N., Yıldırım, M. A., Hao, T., HILL, D. E., Cusick, M. E., Perrimon, N., Roth, F. P., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012139 · Cited by 17

High-throughput RNAi screening in mammalian cells with esiRNAs

Theis, M., & Buchholz, F. (2010) · Methods · doi:10.1016/j.ymeth.2010.12.021 · Cited by 16

Screening Genes Promoting Exit from Naive Pluripotency Based on Genome-Scale CRISPR-Cas9 Knockout

Yang, B., Kuang, J., Wu, C., Zhou, W., Zhu, S., Jiang, H., Zhai, Z., Wu, Y., Peng, J., Liu, N., et al. (2020) · Stem Cells International · doi:10.1155/2020/8483035 · Cited by 15

A 1,536-Well Ultra-High-Throughput siRNA Screen to Identify Regulators of the Wnt/β-Catenin Pathway

Chung, N., Marine, S., Smith, E. A., Liehr, R. A., Smith, S. T., Locco, L., Hudak, E. M., Kreamer, A., Rush, A., Roberts, B. S., et al. (2010) · Assay and Drug Development Technologies · doi:10.1089/adt.2009.0262 · Cited by 15

High-Content Neurite Development Study Using Optically Patterned Substrates

Bélisle, J. M., Levin, L. A., & Costantino, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035911 · Cited by 15

High-throughput RNA interference screens integrative analysis: Towards a comprehensive understanding of the virus-host interplay

Amberkar, S. (2013) · World Journal of Virology · doi:10.5501/wjv.v2.i2.18 · Cited by 14

Natural products targeting cancer cell dependency

Shi, C., Yang, E. J., Tao, S., Ren, G., Mou, P. K., & Shim, J. S. (2021) · The Journal of Antibiotics · doi:10.1038/s41429-021-00438-x · Cited by 15

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning

Yang, S., Shen, T., Fang, Y., Wang, X., Zhang, J., Yang, W., Huang, J., & Han, X. (2022) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2022.12.007 · Cited by 15

Genome-Wide RNAi High-Throughput Screen Identifies Proteins Necessary for the AHR-Dependent Induction of CYP1A1 by 2,3,7,8-Tetrachlorodibenzo-p-dioxin

Solaimani, P., Damoiseaux, R. D., & Hankinson, O. (2013) · Toxicological Sciences · doi:10.1093/toxsci/kft191 · Cited by 14

Systematic Analysis of Endocytosis by Cellular Perturbations

Kühling, L., & Schelhaas, M. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-0944-5_2 · Cited by 15

Genetic networks for the functional study of genomes

Pisabarro, A. G., Pérez, G., Lavín, J. L., & Ramı́rez, L. (2008) · Briefings in Functional Genomics and Proteomics · doi:10.1093/bfgp/eln026 · Cited by 14

Application of CRISPR-Cas9 Gene Editing for HIV Host Factor Discovery and Validation

Cisneros, W. J., Cornish, D., & Hultquist, J. F. (2022) · Pathogens · doi:10.3390/pathogens11080891 · Cited by 16

Biotechnological applications of supersonic cluster beam‐deposited nanostructured thin films: Bottom‐up engineering to optimize cell–protein–surface interactions

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