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The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
Open accessAbstract
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies. Perturbations under study include drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations. Responses to perturbations are measured by transcript profiling, mass spectrometry, cell imaging, and biochemical methods, among other assays. The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. This Perspective describes LINCS technologies, datasets, tools, and approaches to data accessibility and reusability.
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799
Self-citationEnrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814
Self-citationLamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257
Self-citationSkyline: an open source document editor for creating and analyzing targeted proteomics experiments
MacLean, B., Tomazela, D. M., Shulman, N., Chambers, M., Finney, G. L., Frewen, B., Kern, R., Tabb, D. L., Liebler, D. C., & MacCoss, M. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq054 · Cited by 4,697
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles
Subramanian, A., Narayan, R., Corsello, S. M., Peck, D. D., Natoli, T. E., Lu, X., Gould, J., Davis, J. F., Tubelli, A. A., Asiedu, J. K., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.049 · Cited by 3,515
Self-citationDocker: lightweight Linux containers for consistent development and deployment
Merkel, D. (2014) · Linux journal · Cited by 3,191
Rouillard, A. D., Gundersen, G. W., Fernandez, N. F., Wang, Z., Monteiro, C. D., McDermott, M. G., & Ma’ayan, A. (2016) · Database · doi:10.1093/database/baw100 · Cited by 1,515
Self-citationPubChem: Integrated Platform of Small Molecules and Biological Activities
Bolton, E., Wang, Y., Thiessen, P. A., & Bryant, S. H. (2008) · Annual reports in computational chemistry · doi:10.1016/s1574-1400(08)00012-1 · Cited by 1,267
Tibes, R., Qiu, Y., Lu, Y., Hennessy, B. T., Andreeff, M., Mills, G. B., & Kornblau, S. M. (2006) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-06-0334 · Cited by 722
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Sasaki, M., Ueda, K., Fukuda, T., Tanaka, N., Shimizu, H., & Kubota, K. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.08.061 · Cited by 3
Drugs repurposed to potentiate immunotherapy for cancer treatment
To, K. K. W., & Cho, Y. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819668-7.00012-9 · Cited by 3
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Dominguez, D. T., Alarcón-Riquelme, M. E., & Carmona‐Sáez, P. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816125-8.00011-0 · Cited by 3
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Dizaji, K. G., Chen, W., & Huang, H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45257-5_2 · Cited by 3
Repositioning linifanib as a potent anti-necroptosis agent for sepsisPreprint
Kai, Y., Li, M., Yu, L., & He, X. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.24.485557 · Cited by 3
The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical DataPreprint
Ahooyi, T. M., Stear, B. J., Simmons, J. A., Metzger, V. T., Kumar, P., Evangelista, J. E., Clarke, D. J. B., Xie, Z., Kim, H.-S., Jenkins, S. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.11.666099 · Cited by 7
Self-citationXue, G., Wang, G., Shi, Q., Wang, H., Lv, B., Gao, M., Niu, X., & Zhang, H. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.106891 · Cited by 2
Yuan, M., Liu, H., Huang, Y.-E., Hou, F., Wang, L., Wang, Q., & Jiang, W. (2025) · npj Precision Oncology · doi:10.1038/s41698-025-00992-9 · Cited by 2
Wang, Z., Lebedev, D., Li, S., Rao, S., Wu, K., Doyle, L., Wynne, K. J., Blanco, A., Mysior, M. M., Simpson, J. C., et al. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1591860 · Cited by 2
Self-citationZhu, H., Asiaee, A., Azinfar, L., Li, J., Liang, H., Irajizad, E., Do, K.-A., & Long, J. P. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf426 · Cited by 8
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Ataam, J. A., Belbachir, N., Perea‐Gil, I., Termglinchan, V., Vadgama, N., Garg, P., Ramchandani, R., Gavidia, A. A., Roura, S., Gálvez‐Montón, C., et al. (2024) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.123.004526 · Cited by 2
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Jia, Z., Song, X., Shi, J., Wang, W., & He, K. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.101377 · Cited by 2
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Shukla, R., Henkel, N., Alganem, K., Hamoud, A.-R. A., Reigle, J. K., Alnafisah, R. S., Eby, H., Imami, A. S., Creeden, J. F., Miruzzi, S. A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.24.060392 · Cited by 2
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Copperman, J., Gross, S. M., Chang, Y. H., Heiser, L. M., & Zuckerman, D. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.07.463498 · Cited by 2
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Wiener, R. J., Orins, H., & Costa, K. D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.03.560723 · Cited by 2
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Chiu, H. (2025) · Hereditas · doi:10.1186/s41065-025-00573-7 · Cited by 2
Satish, K. S., Saraswathy, G. R., Hemasree, G. N. S., Saravanan, K. S., Marise, V. L. P., Murthy, M. K., & Murahari, M. (2023) · Springer eBooks · doi:10.1007/978-981-19-7952-1_9 · Cited by 1
Ji, X., Williams, K. P., & Zheng, W. (2023) · Cancer Informatics · doi:10.1177/11769351231202588 · Cited by 1
Cho, H., No, K. T., & Lim, H. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms26010224 · Cited by 1
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Zaimi, M., Zagkotsis, G., Kammenos, A., Grapsa, E., Marinaki, S., & Frangou, E. A. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15020696 · Cited by 1
Chen, F., Zhao, R., Han, X., Li, H., & Tang, Z. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag045 · Cited by 1
Liu, J., Xu, D.-H., Zhang, X.-Y., Sheng, H., Zhan, J., You, Y.-T., Zhu, X.-Y., & Liu, Y.-J. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116414 · Cited by 1
Liu, H., Yuan, M., Shang, Y., Chen, J., Hou, F., Wang, L., & Jiang, W. (2026) · Advanced Science · doi:10.1002/advs.202513246 · Cited by 1
Real, K. S. D., Swamy, V. S., Arcagni, J., Wang, E., Rabadan, R., & Rubio, Á. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag225 · Cited by 1
Byrd, A. I., Evangelista, J. E., Dusen, A. V., Clarke, D. J. B., Berrada, M., Jenkins, S. L., & Ma’ayan, A. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag508 · Cited by 2
Self-citationRamírez, C. D., Torres, E., Ortega, P., & Mendes, S. (2025) · Pharmacophore · doi:10.51847/0ih6f5zcfs · Cited by 1
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Liu, E., Sun, A., Yang, Y., Xu, J., Suvannasankha, A., Walker, B. A., & Zhang, P. (2026) · European Journal Of Haematology · doi:10.1111/ejh.70274 · Cited by 1
Vitali, F., Raikes, A. C., Merlini, S., Shang, Y., Torrandell‐Haro, G., Hernandez, G. D., & Yin, F. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70303 · Cited by 1
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Liang, X. Y., Young, W. C., Hung, L., Raftery, A. E., & Yeung, K. Y. (2018) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3233547.3233692 · Cited by 1
EVATECH H POLYMER-MODIFIED BITUMEN
Nicholls, J. C. (1994) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 1
Cai, L., DeBerardinis, R. J., Xiao, G., Minna, J. D., & Xie, Y. (2022) · iScience · doi:10.1016/j.isci.2023.106983 · Cited by 1
Nikolakis, D., Garantziotis, P., Sentis, G., Fanouriakis, A., Bertsias, G. K., Frangou, E. A., Nikolopoulos, D., Banos, A., & Boumpas, D. (2023) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2023-eular.2787 · Cited by 1
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Verga, J. U., Lloyd, A., Sarron, A., & Hardiman, G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18649-3.00007-0 · Cited by 1
Krivinko, J. M., Fan, P., Sui, Z., Happe, C. L., Hensler, C., Gilardi, J., Ikonomović, M. D., McKinney, B. C., Newman, J., Ding, Y., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02817-w · Cited by 2
Gene regulatory network inference from gene expression dataset using autoencoder
Bilgen, İ., & Sarac, O. S. (2018) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2018.8404816 · Cited by 1
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Wang, X. (2019) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 1
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Yellaboina, S., & Hasnain, S. E. (2022) · Springer eBooks · doi:10.1007/978-981-16-9232-1_4 · Cited by 1
Harrison, V. C., Khan, S. F., Damerell, V., Bleloch, J., ArulJothi, K. N., Sinkala, M., Lennard, K. S., Mulder, N., Calder, B., Blackburn, J. M., et al. (2022) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-022-00714-6 · Cited by 1
Coordinate-based mapping of tabular data enables fast and scalable queriesPreprint
Piccolo, S., Ence, Z. E., Hill, K., Tatlow, P., Fry, B. J., & Dayton, J. B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/536979 · Cited by 1
Xue, Y., Ding, M. Q., & Lu, X. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.11124 · Cited by 1
Xiong, Y., Liu, T., Chen, T., Hansen, J., Hu, B., Chen, Y., Jayaraman, G., Schürer, S. C., Vidović, D., Goldfarb, J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.26.966606 · Cited by 1
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White, J. R., Foote, M. B., Jee, J., Argilés, G., Wan, J. C. M., & Diaz, L. A. (2020) · medRxiv · doi:10.1101/2020.09.02.20186783 · Cited by 1
Xue, G., Wang, G., Shi, Q., Wang, H., Lv, B., Gao, M., Niu, X., & Zhang, H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.26.356204 · Cited by 1
Thorman, A. W., Reigle, J. K., Chutipongtanate, S., Shamsaei, B., Pilarczyk, M., Fazel‐Najafabadi, M., Adamczak, R., Kouril, M., Morrow, A. L., Czyzyk-Krzeska, M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.25.399238 · Cited by 1
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Tang, T., Berezin, M. Y., Garcia, B. A., & Mollah, S. A. (2026) · Cancer Treatment and Research Communications · doi:10.1101/2024.11.13.623008 · Cited by 1
Zhu, H., Asiaee, A., Azinfar, L., Li, J., Liang, H., Irajizad, E., Do, K.-A., & Long, J. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.06.641935 · Cited by 1
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Liu, P. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.11178
Hunt, G. J., Dane, M. A., Korkola, J. E., Heiser, L. M., & Gagnon-Bartsch, J. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/627802
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Tan, M. S. Y. (2019) · doi:10.32657/10220/49094
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Yu, H., Lu, L., Chen, M., Li, C., & Zhang, J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/749762
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Kimmel, G. J., Dane, M. A., Heiser, L. M., Altrock, P. M., & Andor, N. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.15.041566
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Kim, S., Thapa, I., Samadi, F., & Ali, H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45385-5_20
Sanchez‐Burgos, L., Goméz-López, G., Al‐Shahrour, F., & Fernández-Capetillo, Ó. (2020) · Preprints.org · doi:10.20944/preprints202006.0087.v1
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Yang, J. J., Gessner, C. R., Duerksen, J. L., Biber, D., Binder, J., Ozturk, M., Foote, B., McEntire, R., Stirling, K., Ding, Y., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.30.424881
Ren, S., Tao, Y., Yu, K., Xue, Y., Schwartz, R. S., & Lu, X. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.11.462450
Galiano, J. M. M., & Delgado‐Rodríguez, M. (2013) · PubMed
Hide, W. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734885593.793556217
Rastelli, G. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735161980.793557968
Nielsen, J. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735729556.793560891
Jokela, T. A., Carlson, E. G., & LaBarge, M. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-98950-7_25
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Fajiculay, E., & Hsu, C. (2023) · Journal of the Chinese Chemical Society · doi:10.1002/jccs.202200526
Kimmel, G. J., Dane, M. A., Heiser, L. M., Altrock, P. M., & Andor, N. (2023) · doi:10.1158/0008-5472.22425912
Self-citationKimmel, G. J., Dane, M. A., Heiser, L. M., Altrock, P. M., & Andor, N. (2023) · doi:10.1158/0008-5472.22425912.v1
Self-citationTammaro, A., Daniels, E. G., Hu, I. M., Hart, K. C. ‘., Reid, K., Juni, R. P., Butter, L. M., Vasam, G., Kamble, R., Jongejan, A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.29.555280
Hao, M., Li, D., Qiao, Y., Xiong, M., Li, J., & Ma, W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.03.573997
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Narendran, A., Nishanth, M. S., Surendra, A., Churamani, N., & Srinivasa, G. (2023) · International Conference on Computing Communication Control and automation · doi:10.1109/iccubea58933.2023.10392026
Wang, W. (2024) · Optical and Quantum Electronics · doi:10.1007/s11082-023-05927-x
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Shahriary, A., Sisakht, M., Arabfard, M., Behmard, E., & Najafi, A. (2024) · Research Square · doi:10.21203/rs.3.rs-3907985/v1
Yang, J. J., Gessner, C. R., Duerksen, J. L., Biber, D., Binder, J., Ozturk, M., Foote, B., McEntire, R., Stirling, K., Ding, Y., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18318355
Yang, J. J., Gessner, C. R., Duerksen, J. L., Biber, D., Binder, J., Ozturk, M., Foote, B., McEntire, R., Stirling, K., Ding, Y., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18318352
Yang, J. J., Gessner, C. R., Duerksen, J. L., Biber, D., Binder, J., Ozturk, M., Foote, B., McEntire, R., Stirling, K., Ding, Y., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18318358
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Metadata
- Authors
- Keenan, A. B., Jenkins, S. L., Jagodnik, K. M., Koplev, S., He, E., Torre, D., Wang, Z., Dohlman, A. B., Silverstein, M. C., Lachmann, A., Kuleshov, M. V., Ma'ayan, A., Stathias, V., Terryn, R., Cooper, D., Forlin, M., Koleti, A., Vidovic, D., Chung, C., Schürer, S. C., Vasiliauskas, J., Pilarczyk, M., Shamsaei, B., Fazel, M., Ren, Y., Niu, W., Clark, N. A., White, S., Mahi, N., Zhang, L., Kouril, M., Reichard, J. F., Sivaganesan, S., Medvedovic, M., Meller, J., Koch, R. J., Birtwistle, M. R., Iyengar, R., Sobie, E. A., Azeloglu, E. U., Kaye, J., Osterloh, J., Haston, K., Kalra, J., Finkbiener, S., Li, J., Milani, P., Adam, M., Escalante-Chong, R., Sachs, K., Lenail, A., Ramamoorthy, D., Fraenkel, E., Daigle, G., Hussain, U., Coye, A., Rothstein, J., Sareen, D., Ornelas, L., Banuelos, M., Mandefro, B., Ho, R., Svendsen, C. N., Lim, R. G., Stocksdale, J., Casale, M. S., Thompson, T. G., Wu, J., Thompson, L. M., Dardov, V., Venkatraman, V., Matlock, A., Van Eyk, J. E., Jaffe, J. D., Papanastasiou, M., Subramanian, A., Golub, T. R., Erickson, S. D., Fallahi-Sichani, M., Hafner, M., Gray, N. S., Lin, J.-R., Mills, C. E., Muhlich, J. L., Niepel, M., Shamu, C. E., Williams, E. H., Wrobel, D., Sorger, P. K., Heiser, L. M., Gray, J. W., Korkola, J. E., Mills, G. B., LaBarge, M., Feiler, H. S., Dane, M. A., Bucher, E., Nederlof, M., Sudar, D., Gross, S., Kilburn, D. F., Smith, R., Devlin, K., Margolis, R., Derr, L., Lee, A., & Pillai, A.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- University of Miami (US)
- University of Cincinnati (US)
- University of California, San Francisco (US)
- Massachusetts Institute of Technology (US)
- Johns Hopkins University (US)
- Cedars-Sinai Medical Center (US)
- University of California, Irvine (US)
- Broad Institute (US)
- Harvard University (US)
- Oregon Health & Science University (US)
- The University of Texas MD Anderson Cancer Center (US)
- City Of Hope National Medical Center (US)
- National Institutes of Health (US)
- ORCID
- Jenkins, Sherry L.
- Jagodnik, Kathleen M.
- Koplev, Simon
- He, Edward
- Torre, Denis
- Wang, Zichen
- Dohlman, Anders B.
- Silverstein, Moshe C.
- Lachmann, Alexander
- Kuleshov, Maxim V.
- Stathias, Vasileios
- Cooper, Daniel
- Schürer, Stephan C.
- Pilarczyk, Marcin
- Shamsaei, Behrouz
- Ren, Yan
- Clark, Nicholas A.
- Mahi, Naim
- Zhang, Lixia
- Kouril, Michal
- Reichard, John F.
- Sivaganesan, Siva
- Medvedovic, Mario
- Birtwistle, Marc R.
- Iyengar, Ravi
- Sobie, Eric A.
- Azeloglu, Evren U.
- Kaye, Julia
- Osterloh, Jeannette
- Kalra, Jaslin
- Li, Jonathan
- Milani, Pamela
- Escalante-Chong, Renan
- Ramamoorthy, Divya
- Fraenkel, Ernest
- Sareen, Dhruv
- Ho, Ritchie
- Svendsen, Clive N.
- Lim, Ryan G.
- Stocksdale, Jennifer
- Thompson, Terri G.
- Wu, Jie
- Thompson, Leslie M.
- Dardov, Victoria
- Venkatraman, Vidya
- Matlock, Andrea
- Jaffe, Jacob D.
- Papanastasiou, Malvina
- Subramanian, Aravind
- Golub, Todd R.
- Hafner, Marc
- Gray, Nathanael S.
- Lin, Jia-Ren
- Mills, Caitlin E.
- Muhlich, Jeremy L.
- Niepel, Mario
- Shamu, Caroline E.
- Williams, Elizabeth H.
- Sorger, Peter K.
- Heiser, Laura M.
- Gray, Joe W.
- Korkola, James E.
- Mills, Gordon B.
- LaBarge, Mark
- Feiler, Heidi S.
- Dane, Mark A.
- Bucher, Elmar
- Nederlof, Michel
- Sudar, Damir
- Gross, Sean
- Smith, Rebecca
- Devlin, Kaylyn
- Margolis, Ron
- Pillai, Ajay
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 6
- Issue
- 1
- Pages
- 13-24
- ISSN
- 2405-4712 (ISSN-L)
- PMC
- PMC5799026
- OpenAlex
- W2768977980
- Cited by
- 423
- References
- 49
- Citations by year
- 2026: 40 · 2025: 38 · 2024: 40 · 2023: 44 · 2022: 57 · 2021: 51 · 2020: 56 · 2019: 49 · 2018: 41
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Systems (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- NIH (U54HL127624, U54HG008098, U54HL127366, U54HG008097, U54NS091046, U54HL127365, U54HG008100)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- LINCS, chemical perturbation, gene perturbation, transcriptomics, mass spectrometry, cell imaging, data cataloging, data accessibility, data reusability, cancer, heart disease, neurodegenerative diseases, treatment development
- MeSH terms
- Cataloging, Humans, National Health Programs, National Institutes of Health (U.S.), United States, Gene Library, Information Storage and Retrieval, Computational Biology, Gene Expression Profiling, Systems Biology, Transcriptome, Databases, Chemical
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