High-throughput functional genomics using CRISPR-Cas9

Untitled work

Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714

A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity

Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116

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

Multiplex Genome Engineering Using CRISPR/Cas Systems

Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339

RNA-Guided Human Genome Engineering via Cas9

Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210

MicroRNAs: small RNAs with a big role in gene regulation

He, L., & Hannon, G. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1379 · Cited by 7,118

Development and Applications of CRISPR-Cas9 for Genome Engineering

Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762

Improved vectors and genome-wide libraries for CRISPR screening

Sanjana, N. E., Shalem, O., & Zhang, F. (2014) · Nature Methods · doi:10.1038/nmeth.3047 · Cited by 5,239

Genome-scale CRISPR-Cas9 knockout screening in human cells

Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234

Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression

Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016

Enhancing non-viral DNA delivery systems: Recent advances in improving efficiency and target specificity

Hosseini-Kharat, M., Bremmell, K. E., Grubor‐Bauk, B., & Prestidge, C. A. (2024) · Journal of Controlled Release · doi:10.1016/j.jconrel.2024.12.002 · Cited by 37

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

CRISPR–Cas9 Genetic Analysis of Virus–Host Interactions

Gebre, M. S., Nomburg, J., & Gewurz, B. E. (2018) · Viruses · doi:10.3390/v10020055 · Cited by 37

Genetic and Chemical Screenings Identify HDAC3 as a Key Regulator in Hepatic Differentiation of Human Pluripotent Stem Cells

Li, S., Li, M., Liu, X., Yang, Y., Wei, Y., Chen, Y., Qiu, Y., Zhou, T., Feng, Z., Ma, D., et al. (2018) · Stem Cell Reports · doi:10.1016/j.stemcr.2018.05.001 · Cited by 36

Guide-target mismatch effects on dCas9–sgRNA binding activity in living bacterial cells

Feng, H., Guo, J., Wang, T., Zhang, C., & Xing, X. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1295 · Cited by 38

CRISPR/Cas9 in Planta Hairy Root Transformation: A Powerful Platform for Functional Analysis of Root Traits in Soybean

Niazian, M., Belzile, F. J., & Torkamaneh, D. (2022) · Plants · doi:10.3390/plants11081044 · Cited by 36

High-throughput in situ cell electroporation microsystem for parallel delivery of single guide RNAs into mammalian cells

Bian, S., Zhou, Y., Hu, Y., Cheng, J., Chen, X., Xu, Y., & Liu, P. (2017) · Scientific Reports · doi:10.1038/srep42512 · Cited by 36

Technologies for Proteome-Wide Discovery of Extracellular Host-Pathogen Interactions

Martinez-Martín, N. (2017) · Journal of Immunology Research · doi:10.1155/2017/2197615 · Cited by 36

Deciphering evolutionary dynamics of SWEET genes in diverse plant lineages

Li, X., Si, W., Qin, Q., Wu, H., & Jiang, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-31589-x · Cited by 35

Functional genomics identifies predictive markers and clinically actionable resistance mechanisms to CDK4/6 inhibition in bladder cancer

Tong, Z., Sathe, A., Ebner, B., Pan, Q., Veltkamp, C., Gschwend, J. E., Holm, P. S., & Nawroth, R. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1322-9 · Cited by 36

New factors for protein transport identified by a genome-wide CRISPRi screen in mammalian cells

Bassaganyas, L., Popa, S. J., Horlbeck, M. A., Puri, C., Stewart, S. E., Campelo, F., Ashok, A., Butnaru, C. M., Brouwers, N., Heydari, K., et al. (2019) · The Journal of Cell Biology · doi:10.1083/jcb.201902028 · Cited by 36

A high-performance genetically encoded fluorescent biosensor for imaging physiological peroxynitrite

Chen, Z., Zhang, S., Li, X., & Ai, H. (2021) · Cell chemical biology · doi:10.1016/j.chembiol.2021.01.013 · Cited by 35

Targeted genetic screening in bacteria with a Cas12k-guided transposase

Chen, W., Ren, Z.-H., Tang, N., Chai, G., Zhang, H., Zhang, Y., Ma, J., Wu, Z., Shen, X., Huang, X., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109635 · Cited by 35

Oligo Pools as an Affordable Source of Synthetic DNA for Cost‐Effective Library Construction in Protein‐ and Metabolic Pathway Engineering

Kuiper, B. P., Prins, R. C., & Billerbeck, S. (2021) · ChemBioChem · doi:10.1002/cbic.202100507 · Cited by 36

Direct and indirect approaches to identify drug modes of action

Tulloch, L. B., Menzies, S. K., Coron, R. P., Roberts, M. D., Florence, G. J., & Smith, T. (2017) · IUBMB Life · doi:10.1002/iub.1697 · Cited by 36

CRISPR–Cas9-based functional interrogation of unconventional translatome reveals human cancer dependency on cryptic non-canonical open reading frames

Zheng, C., Wei, Y., Zhang, P., Lin, K., He, D., Teng, H., Manyam, G. C., Zhang, Z., Liu, W., Lee, H. R. L., et al. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01117-1 · Cited by 36

High Efficiency CRISPR/Cas9-mediated Gene Editing in Primary Human T-cells Using Mutant Adenoviral E4orf6/E1b55k “Helper” Proteins

Gwiazda, K., Grier, A. E., Sahni, J., Burleigh, S. M., Martin, U., Yang, J., Popp, N. A., Krutein, M. C., Khan, I., Jacoby, K., et al. (2016) · Molecular Therapy · doi:10.1038/mt.2016.105 · Cited by 35

Advances and perspectives in the application of CRISPR/Cas9 in insects.

Chen, L., Wang, G., Zhu, Y., Xiang, H., & Wang, W. (2016) · PubMed · doi:10.13918/j.issn.2095-8137.2016.4.220 · Cited by 34

CRISPR/Cas9-mediated mutagenesis of homologous genes in Chinese kale

Sun, B., Zheng, A., Jiang, M., Xue, S., Yuan, Q., Jiang, L., Chen, Q., Li, M., Wang, Y., Zhang, Y., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-34884-9 · Cited by 34

CRISPR/Cas9-mediated efficient genome editing via protoplast-based transformation in yeast-like fungus Aureobasidium pullulans

Zhang, Y., Feng, J., Wang, P., Xia, J., Li, X., & Zou, X. (2019) · Gene · doi:10.1016/j.gene.2019.04.079 · Cited by 34

Alternative splicing programming of axon formation

Zheng, S. (2020) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1585 · Cited by 36

Truncated HDAC9 identified by integrated genome-wide screen as the key modulator for paclitaxel resistance in triple-negative breast cancer

Lian, B., Pei, Y., Jiang, Y., Xue, M., Li, D., Li, X., Zheng, Y.-Z., Liu, X.-Y., Qiao, F., Sun, W.-L., et al. (2020) · Theranostics · doi:10.7150/thno.44997 · Cited by 34

On the role of p53 in the cellular response to aneuploidy

Narkar, A., Johnson, B. A., Bharne, P., Zhu, J., Padmanaban, V., Biswas, D., Fraser, A. K., Iglesias, P. A., Ewald, A. J., & Li, R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108892 · Cited by 34

Rational engineering of a modular bacterial CRISPR–Cas activation platform with expanded target range

Kcam, M. C. V., Tsong, A. J., & Chappell, J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab211 · Cited by 36

Genome-wide CRISPR screens reveal synthetic lethal interaction between CREBBP and EP300 in diffuse large B-cell lymphoma

Nie, M., Du, L., Ren, W., Joung, J., Ye, X., Shi, X., Ciftci, S., Liu, D., Wu, K., Zhang, F., et al. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-03695-8 · Cited by 35

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

CRISPR-Cas Technology: Emerging Applications in Clinical Microbiology and Infectious Diseases

Serajian, S., Ahmadpour, E., Oliveira, S. M. R., Pereira, M. D. L., & Heidarzadeh, S. (2021) · Pharmaceuticals · doi:10.3390/ph14111171 · Cited by 35

Functional interrogation of non-coding DNA through CRISPR genome editing

Canver, M. C., Bauer, D. E., & Orkin, S. H. (2017) · Methods · doi:10.1016/j.ymeth.2017.03.008 · Cited by 36

Measuring sequencer size bias using REcount: a novel method for highly accurate Illumina sequencing-based quantification

Gohl, D. M., Magli, A., Garbe, J., Becker, A., Johnson, D. M., Anderson, S., Auch, B., Billstein, B., Froehling, E., McDevitt, S. L., et al. (2019) · Genome biology · doi:10.1186/s13059-019-1691-6 · Cited by 35

Transcriptional Enhancers: Bridging the Genome and PhenomePreprint

Ren, B., & Yue, F. (2015) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2015.80.027219 · Cited by 34

Genome-scale CRISPRi screening: A powerful tool in engineering microbiology

Sun, L., Zheng, P., Sun, J., Wendisch, V. F., & Wang, Y. (2023) · Engineering Microbiology · doi:10.1016/j.engmic.2023.100089 · Cited by 35

The design strategies for CRISPR-based biosensing: Target recognition, signal conversion, and signal amplification

Yin, Y., Wen, J., Wen, M., Fu, X., Ke, G., & Zhang, X. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115839 · Cited by 33

CRISPR/Cas9-Based therapeutics as a promising strategy for management of Alzheimer’s disease: progress and prospects

Khan, M. S., Qureshi, N., Khan, R., Son, Y., & Maqbool, T. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1578138 · Cited by 37

Generation of an arrayed CRISPR-Cas9 library targeting epigenetic regulators: from high-content screens to in vivo assays

Henser‐Brownhill, T., Monserrat, J., & Scaffidi, P. (2017) · Epigenetics · doi:10.1080/15592294.2017.1395121 · Cited by 33

Applications of CRISPR/Cas9 in the Mammalian Central Nervous System.

Savell, K. E., & Day, J. J. (2017) · PubMed · Cited by 33

Tailoring in fungi for next generation cellulase production with special reference to CRISPR/CAS system

Mondal, S., Halder, S. K., & Mondal, K. C. (2021) · Systems Microbiology and Biomanufacturing · doi:10.1007/s43393-021-00045-9 · Cited by 33

Protein Moonlighting Revealed by Noncatalytic Phenotypes of Yeast Enzymes

Espinosa‐Cantú, A., Ascencio, D., Herrera-Basurto, M. S., Xu, J., Roguev, A., Krogan, N. J., & DeLuna, A. (2017) · Genetics · doi:10.1534/genetics.117.300377 · Cited by 34

Manipulating gene expression levels in mammalian cell factories: An outline of synthetic molecular toolboxes to achieve multiplexed control

Eisenhut, P., Marx, N., Borsi, G., Papež, M., Ruggeri, C., Baumann, M., & Borth, N. (2023) · New Biotechnology · doi:10.1016/j.nbt.2023.11.003 · Cited by 33

GWAS as a Driver of Gene Discovery in Cardiometabolic Diseases

Atanasovska, B., Kumar, V., Fu, J., Wijmenga, C., & Hofker, M. H. (2015) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.10.004 · Cited by 32

Human stem cell-based disease modeling: prospects and challenges

Johnson, J. Z., & Hockemeyer, D. F. (2015) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2015.10.007 · Cited by 33

A genome editing primer for the hematologist

Hoban, M. D., & Bauer, D. E. (2016) · Blood · doi:10.1182/blood-2016-01-678151 · Cited by 32

Big Data Approaches for Modeling Response and Resistance to Cancer Drugs

Jiang, P., Sellers, W. R., & Liu, X. S. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013350 · Cited by 32

Genome-Wide RNAi Screen Identifies PMPCB as a Therapeutic Vulnerability in EpCAM+ Hepatocellular Carcinoma

Takai, A., Dang, H. T., Oishi, N., Khatib, S. A., Martin, S. P., Dominguez, D. A., Luo, J., Bagni, R., Wu, X., Powell, K., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-3015 · Cited by 32

CRISPulator: a discrete simulation tool for pooled genetic screens

Nagy, T. L., & Kampmann, M. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1759-9 · Cited by 32

Challenges of in vitro genome editing with CRISPR/Cas9 and possible solutions: A review

Ebrahimi, V., & Hashemi, A. (2020) · Gene · doi:10.1016/j.gene.2020.144813 · Cited by 32

Publicly Available hiPSC Lines with Extreme Polygenic Risk Scores for Modeling Schizophrenia

Dobrindt, K., Zhang, H., Das, D., Abdollahi, S., Prorok, T., Ghosh, S. D., Weintraub, S. J., Genovese, G., Powell, S. K., Lund, A. N., et al. (2020) · Complex Psychiatry · doi:10.1159/000512716 · Cited by 32

Techniques for investigating lncRNA transcript functions in neurodevelopment

Srinivas, T., Soares, E. S., & Guil, S. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02377-5 · Cited by 37

Identifying synthetic lethal targets using CRISPR/Cas9 system

Dhanjal, J. K., Radhakrishnan, N., & Sundar, D. (2017) · Methods · doi:10.1016/j.ymeth.2017.07.007 · Cited by 32

A permutation-based non-parametric analysis of CRISPR screen data

Jia, G., Wang, X., & Xiao, G. (2017) · BMC Genomics · doi:10.1186/s12864-017-3938-5 · Cited by 32

Elucidation of remdesivir cytotoxicity pathways through genome-wide CRISPR-Cas9 screening and transcriptomicsPreprint

Akıncı, E., Cha, M., Lin, L., Yeo, G. H. T., Hamilton, M. C., Donahue, C. J., Bermudez-Cabrera, H. C., Zanetti, L. C., Chen, M., Barkal, S. A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.27.270819 · Cited by 32

Genome-scale CRISPR screening for modifiers of cellular LDL uptake

Emmer, B. T., Sherman, E. J., Lascuna, P. J., Graham, S. E., Willer, C. J., & Ginsburg, D. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009285 · Cited by 32

CRISPRi functional genomics in bacteria and its application to medical and industrial research

Enright, A. L., Heelan, W. J., Ward, R. D., & Peters, J. M. (2024) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00170-22 · Cited by 32

Prioritising Causal Genes at Type 2 Diabetes Risk Loci

Grotz, A. K., Gloyn, A. L., & Thomsen, S. K. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0907-y · Cited by 32

Comparative Loss-of-Function Screens Reveal ABCE1 as an Essential Cellular Host Factor for Efficient Translation of Paramyxoviridae and Pneumoviridae

Anderson, D. E., Pfeffermann, K., Kim, S. Y., Sawatsky, B., Pearson, J. L., Kovtun, M., Corcoran, D. L., Krebs, Y., Sigmundsson, K., Jamison, S. F., et al. (2019) · mBio · doi:10.1128/mbio.00826-19 · Cited by 31

Inducible Exoc7/Exo70 knockout reveals a critical role of the exocyst in insulin-regulated GLUT4 exocytosis

Wang, S., Crisman, L., Miller, J. L., Datta, I., Gulbranson, D. R., Tian, Y., Yin, Q., Yu, H., & Shen, J. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.010821 · Cited by 31

Plasmid-based and -free methods using CRISPR/Cas9 system for replacement of targeted genes in Colletotrichum sansevieriae

Nakamura, M., Okamura, Y., & Iwai, H. (2019) · Scientific Reports · doi:10.1038/s41598-019-55302-8 · Cited by 31

Heme-Dependent Supramolecular Nanocatalysts: A Review

Liu, Y., & Wang, Z. (2023) · ACS Nano · doi:10.1021/acsnano.2c11894 · Cited by 31

Synthetic chimeric nucleases function for efficient genome editing

Liu, R., Liang, L., Freed, E. F., Chang, H., Oh, E. J., Liu, Z., Garst, A. D., Eckert, C. A., & Gill, R. T. (2019) · Nature Communications · doi:10.1038/s41467-019-13500-y · Cited by 33

Genome-scale identification of cellular pathways required for cell surface recognitionPreprint

Sharma, S., Scott, J. B., Couch, A. C. M., Yusa, K., & Wright, G. J. (2018) · Genome Research · doi:10.1101/gr.231183.117 · Cited by 31

Nanotechnology‐based CRISPR/Cas9 delivery system for genome editing in cancer treatment

Zhou, S., Li, Y., Wu, Q., & Gong, C. (2024) · MedComm – Biomaterials and Applications · doi:10.1002/mba2.70 · Cited by 30

Advanced In vivo Use of CRISPR/Cas9 and Anti-sense DNA Inhibition for Gene Manipulation in the Brain

Walters, B. J., Azam, A. B., Gillon, C. J., Josselyn, S. A., & Zovkic, I. B. (2016) · Frontiers in Genetics · doi:10.3389/fgene.2015.00362 · Cited by 31

Can the Lateral Habenula Crack the Serotonin Code?

Tchenio, A., Valentinova, K., & Mameli, M. (2016) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2016.00034 · Cited by 33

Crosstalk between transcription and metabolism: how much enzyme is enough for a cell?

Donati, S., Sander, T., & Link, H. (2017) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1396 · Cited by 34

A genome-wide comprehensive analysis of alterations in driver genes in non-small-cell lung cancer

Yi, J., Xiang, W., Li, X., Wan, L., Dong, J., & Wang, R. (2017) · Anti-Cancer Drugs · doi:10.1097/cad.0000000000000571 · Cited by 30

High-throughput methods for genome editing: the more the better

Huang, Y., Shang, M., Liu, T., & Wang, K. (2022) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiac017 · Cited by 32

Identifying CDC7 as a synergistic target of chemotherapy in resistant small-cell lung cancer via CRISPR/Cas9 screening

Deng, L., Li, Y., Zhu, S., Li, M., Wang, Y., Cao, X., Wang, Q., & Guo, L. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01315-2 · Cited by 30

Cellular senescence in glioma

Chojak, R., Fares, J., Petrosyan, E., & Lesniak, M. S. (2023) · Journal of Neuro-Oncology · doi:10.1007/s11060-023-04387-3 · Cited by 32

Lessons from reverse-genetic studies of lncRNAs

Nakagawa, S. (2015) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2015.06.011 · Cited by 32

Medical applications of clustered regularly interspaced short palindromic repeats (CRISPR/Cas) tool: A comprehensive overview

Araldi, R. P., Khalil, C., Grignet, P. H., Teixeira, M. R., de Melo, T. C., Módolo, D. G., Fernandes, L. G. V., Ruiz, J. L. M., & de Souza, E. B. (2020) · Gene · doi:10.1016/j.gene.2020.144636 · Cited by 33

Candida glabrata : new tools and technologies—expanding the toolkit

Ho, H.-L., & Haynes, K. (2015) · FEMS Yeast Research · doi:10.1093/femsyr/fov066 · Cited by 29

Post-translational modification-centric base editor screens to assess phosphorylation site functionality in high throughput

Kennedy, P. H., Sheikh, A. A. D., Balakar, M., Jones, A. C., Olive, M. E., Hegde, M., Matias, M. I., Pirete, N., Burt, R. A., Levy, J. M., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02256-z · Cited by 30

Advancements in CRISPR/Cas9 technology—Focusing on cancer therapeutics and beyond

Mirza, Z., & Karim, S. (2019) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2019.05.026 · Cited by 29

An advanced genetic toolkit for exploring the biology of the rock-inhabiting black fungus Knufia petricola

Voigt, O., Knabe, N., Nitsche, S., Erdmann, E. A., Schumacher, J., & Gorbushina, A. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-79120-5 · Cited by 29

Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells

Lenoir, W. F., Morgado, M. C., DeWeirdt, P. C., McLaughlin, M. E., Griffith, A. L., Sangree, A. K., Feeley, M. N., Anvar, N. E., Kim, E., Bertolet, L. L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26867-8 · Cited by 31

Pooled genetic screens with image‐based profiling

Walton, R. T., Singh, A. K., & Blainey, P. C. (2022) · Molecular Systems Biology · doi:10.15252/msb.202110768 · Cited by 29

Active learning for optimal intervention design in causal models

Zhang, J., Cammarata, L. V., Squires, C., Sapsis, T. P., & Uhler, C. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00719-0 · Cited by 29

Interplay Between Genetic and Epigenetic Mechanisms in Rheumatoid Arthritis

Frank‐Bertoncelj, M., Klein, K., & Gay, S. (2017) · Epigenomics · doi:10.2217/epi-2016-0142 · Cited by 29

CRISPRcloud: a secure cloud-based pipeline for CRISPR pooled screen deconvolution

Jeong, H.-H., Kim, S., Rousseaux, M. W. C., Zoghbi, H. Y., & Liu, Z. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx335 · Cited by 29

Synthetic Biology and Tissue Engineering: Toward Fabrication of Complex and Smart Cellular Constructs

Hoffman, T., Antovski, P., Tebon, P. J., Xu, C., Ashammakhi, N. A., Ahadian, S., Morsut, L., & Khademhosseini, A. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201909882 · Cited by 32

CRISPR: A new paradigm of theranostics

Yadav, N., Narang, J., Chhillar, A. K., & Rana, J. S. (2021) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2020.102350 · Cited by 31

Selectable One-Step PCR-Mediated Integration of a Degron for Rapid Depletion of Endogenous Human Proteins

Sheridan, R. M., & Bentley, D. L. (2016) · BioTechniques · doi:10.2144/000114378 · Cited by 28

Models in Translational Oncology: A Public Resource Database for Preclinical Cancer Research

Galuschka, C., Proynova, R., Roth, B., Augustin, H. G., & Müller‐Decker, K. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-3099 · Cited by 28

Use of two gRNAs for CRISPR/Cas9 improves bi‐allelic homologous recombination efficiency in mouse embryonic stem cells

Acosta, S., Fiore, L., Carota, I. A., & Oliver, G. C. (2018) · genesis · doi:10.1002/dvg.23212 · Cited by 28

Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes – Biotechnological implications

Campos, T. D. L., Korhonen, P. K., Hofmann, A., Gasser, R. B., & Young, N. D. (2021) · Biotechnology Advances · doi:10.1016/j.biotechadv.2021.107822 · Cited by 28

Application of combined CRISPR screening for genetic and chemical-genetic interaction profiling in Mycobacterium tuberculosis

Yan, M., Zheng, D., Li, S., Ding, X.-Y., Wang, C., Guo, X.-P., Zhan, L., Jin, Q., Yang, J., & Sun, Y. (2022) · Science Advances · doi:10.1126/sciadv.add5907 · Cited by 28

Targeted genome regulation via synthetic programmable transcriptional regulators

Piatek, A., & Mahfouz, M. M. (2016) · Critical Reviews in Biotechnology · doi:10.3109/07388551.2016.1165180 · Cited by 28

The Impact of DNA Topology and Guide Length on Target Selection by a Cytosine-Specific Cas9

Tsui, T. K. M., Hand, T. H., Duboy, E. C., & Li, H. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00050 · Cited by 28

Targeted RNA Knockdown by a Type III CRISPR-Cas Complex in Zebrafish

Fricke, T., Smalakytė, D., Łapiński, M., Pateria, A., Weige, C. C., Pástor, M., Kolano, A., Winata, C. L., Šikšnys, V., Tamulaitis, G., et al. (2020) · The CRISPR Journal · doi:10.1089/crispr.2020.0032 · Cited by 29

CRISPR screens identify tumor‐promoting genes conferring melanoma cell plasticity and resistance

Gautron, A., Bachelot, L., Aubry, M., Leclerc, D., Quéméner, A. M., Corre, S., Rambow, F., Paris, A., Tardif, N., Leclair, H. M., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202013466 · Cited by 32

Cpf1-Database: web-based genome-wide guide RNA library design for gene knockout screens using CRISPR-Cpf1

Park, J., & Bae, S. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx695 · Cited by 28

CRISPR-Cas9-based genome-editing technologies in engineering bacteria for the production of plant-derived terpenoids

Sun, X., Zhang, H., Jia, Y., Li, J., & Jia, M. (2024) · Engineering Microbiology · doi:10.1016/j.engmic.2024.100154 · Cited by 27

Application and development of CRISPR technology in the secondary metabolic pathway of the active ingredients of phytopharmaceuticals

Gao, H., Pei, X., Song, X., Wang, S., Yang, Z., Zhu, J., Lin, Q., Zhu, Q., & Yang, X. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1477894 · Cited by 27

Biotechnological production of sweeteners

Hernández-Pérez, A. F., Jofre, F. M., Queiroz, S. D. S., de Arruda, P. V., Chandel, A. K., & Felipe, M. D. G. D. A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-444-64323-0.00009-6 · Cited by 27

A CRISPR-Cas9 repressor for epigenetic silencing of KRAS

Liu, J., Sun, M., Cho, K. B., Gao, X., & Guo, B. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.105304 · Cited by 28

ERK signaling mediates resistance to immunomodulatory drugs in the bone marrow microenvironment

Liu, J., Hideshima, T., Xing, L., Wang, S., Zhou, W., Samur, M., Sewastianik, T., Ogiya, D., An, G., Gao, S., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg2697 · Cited by 27

Diterpenoid Vinigrol specifically activates ATF4/DDIT3-mediated PERK arm of unfolded protein response to drive non-apoptotic death of breast cancer cells

Wei, W., Li, Y., Wang, C., Gao, S., Zhao, Y., Yang, Z., Wang, H., Gao, Z., Jiang, Y., He, Y., et al. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106285 · Cited by 27

Simultaneous multi-site editing of individual genomes using retron arrays

González-Delgado, A., Lopez, S. C., Rojas-Montero, M., Fishman, C. B., & Shipman, S. L. (2024) · Nature Chemical Biology · doi:10.1038/s41589-024-01665-7 · Cited by 27

Concise Review: Progress and Challenges in Using Human Stem Cells for Biological and Therapeutics Discovery: Neuropsychiatric Disorders

Panchision, D. M. (2016) · Stem Cells · doi:10.1002/stem.2295 · Cited by 27

Decoding the noncoding genome via large-scale CRISPR screens

Shukla, A., & Huangfu, D. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.06.001 · Cited by 27

Mapping causal pathways from genetics to neuropsychiatric disorders using genome‐wide imaging genetics: Current status and future directions

Le, B. D., & Stein, J. L. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12839 · Cited by 30

Genetic screens and functional genomics using CRISPR /Cas9 technology

Hartenian, E., & Doench, J. G. (2015) · FEBS Journal · doi:10.1111/febs.13248 · Cited by 100

High‐throughput screens in mammalian cells using the CRISPR‐Cas9 system

Peng, J., Zhou, Y., Zhu, S., & Wei, W. (2015) · FEBS Journal · doi:10.1111/febs.13251 · Cited by 60

Genome-scale CRISPR-Cas9 Knockout and Transcriptional Activation Screening

Joung, J., Konermann, S., Gootenberg, J. S., Abudayyeh, O. O., Platt, R. J., Brigham, M. D., Sanjana, N. E., & Zhang, F. (2017) · Nature Protocols · doi:10.1038/nprot.2017.016 · Cited by 1,243

The Current Situation and Development Prospect of Whole-Genome Screening

Yang, C., Lei, Y., Ren, T., & Yao, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25010658 · Cited by 12

Prion Diseases

Pagel, M. D. (1996) · Trends in Neurosciences · doi:10.1016/s0166-2236(96)60033-2