Our latest BioGRID ORCS CRISPR Database update adds 3 new screens from the preprint study, "Functional genomic screens identify human host factors for SARS-CoV-2 and common cold coronaviruses" by Wang R et al. (BioRxiv, 2020.09.24.312298). In this preprint, the authors performed CRISPR screens in cells infected by SARS-CoV-2 as well as two seasonally circulating common cold coronaviruses, OC43 and 229E. These screens identified nearly 200 host proteins and their related pathways which may support coronavirus viral infection in a manner shared by mulitple members of the Coronaviridae family and over 390 genes whose loss reduced SARS-CoV-2 infection specifically. General host factors included SCAP activity and suggest cholesterol levels may play a role in coronavirus progression, which is consistent with recent interaction data published in the literature. The results of this study also suggest that the poorly characterized TMEM106B gene may play a role in SARS-CoV-2 progression exclusively.

A special thanks to the authors Wang R, Simoneau CR, Kulsuptrakul J, Bouhaddou M, Travisano K, Hayashi JM, Carlson-Stevermer J, Oki J, Holden K, Krogan NJ, Ott M, and Puschnik AS and the Chan Zuckerberg Biohub, Synthego, Gladstone Institutes, and UCSF Quantitative Biosciences Institute.

If you have a CRISPR Screen Dataset you'd like to deposit directly into the BioGRID ORCS CRISPR Database, please contact us at biogridadmin@gmail.com.

The latest update of BioGRID (build 4.1.190) adds 11,000+ new SARS-CoV-2/Human Proximity Label-MS interactions from our latest two featured datasets "A SARS-CoV-2 BioID-based virus-host membrane protein interactome and virus peptide compendium: new proteomics resources for COVID-19 research" by St-Germain JR et al. (bioRxiv, 2020.08.28.269175) and "A SARS-CoV-2 - host proximity interactome" by Samavarchi-Tehrani P et al. (bioRxiv, 2020.09.03.282103). These two studies used proximity-dependent biotinylation labeling (BioID) coupled with mass spectrometric identification to uncover high confidence interactions between SARS-CoV-2 encoded proteins and human host cell proteins. These two virus-host interaction networks cover more than 1000 and 2000 host proteins, respectively. This work reveals new aspects of virus-host biology and suggests new candidate host targets for inhibition of viral replication. In addition to being available in BioGRID search results, downloads, and our REST service, the data from Samavarchi-Tehrani can also be accessed at covid19interactome.org.

A special thanks to Anne-Claude Gingras, Brian Raught and their colleagues for assistance with loading the data and a big thanks, of course, to all authors of the St-Germain (2020) study: St-Germain JR, Astori A, Samavarchi-Tehrani P, Abdouni H, Macwan V, Kim D, Knapp JJ, Roth FP, Gingras A, and Raught B and all authors of the Samavarchi-Tehrani P (2020) study: Samavarchi-Tehrani P, Abdouni H, Knight JD, Astori A, Samson R, Lin Z, Kim D, Knapp JJ, St-Germain J, Go CD, Larsen B, Wong CJ, Cassonnet P, Demeret C, Jacob Y, Roth FP, Raught B, and Gingras A as well.

If you have interaction data you'd like to deposit directly into the BioGRID Database, please contact us at biogridadmin@gmail.com.

COVID-19 is a rapidly evolving global health crisis and BioGRID is expediting release of new datasets for SARS-CoV-2, SARS-CoV, and MERS-CoV to help facilitate new therapeutic approaches. The BioGRID COVID-19 Coronavirus Project has been updated to include interactions from 204 publications and preliminary reports. These additions bring our total number of Coronavirus-related interactions to 20,352 including 19,112 interactions from 110 publications and preliminary reports for SARS-CoV-2 (COVID-19) and 3 coronavirus-related CRISPR screens.

To download all coronavirus-related interaction data in BioGRID, visit our download page. For more information on BioGRID curation of SARS-CoV-2 (COVID-19) and related Coronaviruses, check out the COVID-19 Coronavirus Project page.

If you have interaction data for SARS-CoV-2 (or other Coronavirus-related data) that you'd like to deposit directly into the BioGRID Database, please contact us at biogridadmin@gmail.com.

The BioGRID ORCS curated CRISPR database has been updated to include CRISPR screens from a total of 114 different publications. These additions bring our total number of curated CRISPR screens in our database to 1,042 encompassing 60,309+ genes, 671 different cell lines, 112 different cell types, and 17 different phenotypes across 3 different organisms (Human, Mouse, and Fruit Fly).

New curated data are added to our CRISPR Database in curation updates on a regular basis. For a more comprehensive breakdown of our numbers, check out our latest statistics. To download these CRISPR data, visit our download page or utilize our web service.

The BioGRID's curated set of data have been updated to include interactions, chemical associations, and post-translational modifications (PTM) from 73,317 publications. These additions bring our total number of non-redundant interactions to 1,511,287, raw interactions to 1,928,373, non-redundant chemical associations to 12,201, raw chemical associations to 28,379, Non-Redundant PTM Sites to 458,181, Raw PTM Sites to 817,400 and Un-Assigned PTMs to 57,396.

New curated data are added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest statistics. To download these data, visit our download page or utilize our web service.

COVID-19 is a rapidly evolving global health crisis and BioGRID is expediting release of new datasets for SARS-CoV-2, SARS-CoV, and MERS-CoV to help facilitate new therapeutic approaches. The BioGRID COVID-19 Coronavirus Project has been updated to include interactions from 175 publications and preliminary reports. These additions bring our total number of Coronavirus-related interactions to 3,502 including 2,266 interactions from 81 publications and preliminary reports for SARS-CoV-2 (COVID-19). To download all coronavirus-related interaction data in BioGRID, visit our download page. For more information on BioGRID curation of SARS-CoV-2 (COVID-19) and related Coronaviruses, check out the COVID-19 Coronavirus Project page.

If you have interaction data for SARS-CoV-2 (or other Coronavirus-related data) that you'd like to deposit directly into the BioGRID Database, please contact us at biogridadmin@gmail.com.

The BioGRID's curated set of data have been updated to include interactions, chemical associations, and post-translational modifications (PTM) from 73,056 publications. These additions bring our total number of non-redundant interactions to 1,480,737, raw interactions to 1,891,411, non-redundant chemical associations to 12,015, raw chemical associations to 28,093, Non-Redundant PTM Sites to 458,181, Raw PTM Sites to 817,400 and Un-Assigned PTMs to 57,396.

New curated data are added in curation updates on a monthly basis. For a more comprehensive breakdown of our numbers, check out our latest statistics. To download these data, visit our download page or utilize our web service.

Our latest BioGRID ORCS CRISPR Database update adds a new screen from the study, "Genome-wide CRISPR synthetic lethality screen identifies a role for the ADP-ribosyltransferase PARP14 in DNA replication dynamics controlled by ATR" by Dhoonmoon A et al. (Nucleic Acids Res, 2020). For this dataset, a genome-wide CRISPR knockout screen was carried out in PARP14-deficient cells identifying synthetic lethal interactors of PARP14, including several components of the ATR DNA replication stress pathway. The ATR-CHK1 pathway was found to be essential for viability of PARP14-deficient cells. This indicates that the status of the PARP14 gene in a tumor may be an important determinant of its response to DNA damage response (DDR)inhibitors, such as ATR–CHK1 pathway inhibitors which are being developed as anti-cancer drugs.

A special thanks to the authors Dhoonmoon A, Schleicher EM, Clements KE, Nicolae CM and Moldovan GL and the Department of Biochemistry & Molecular Biology at PennState. We'd also like to specifically thank author George-Lucian Moldovan for working with us to ensure this dataset was deposited directly into our CRISPR Database.

If you have a CRISPR Screen Dataset you'd like to deposit directly into the BioGRID ORCS CRISPR Database, please contact us at biogridadmin@gmail.com.

Our latest BioGRID Featured Dataset added 6,400+ new human co-fractionation interactions from the study "Rewiring of the Human Mitochondrial Interactome during Neuronal Reprogramming Reveals Regulators of the Respirasome and Neurogenesis" by Moutaoufik MT et al (iScience, Sept. 2019). This study provides an experimentally derived catalog of protein interactions between over 600 mitochondrial proteins. These interactions can help reveal functions for uncharacterized genes, as seen for C20orf24.

A special thanks to all authors of the study: Moutaoufik MT, Malty R, Amin S, Zhang Q, Phanse S, Gagarinova A, Zilocchi M, Hoell L, Minic Z, Gagarinova M, Aoki H, Stockwell J, Jessulat M, Goebels F, Broderick K, Scott NE, Vlasblom J, Musso G, Prasad B, Lamantea E, Garavaglia B, Rajput A, Murayama K, Okazaki Y, Foster LJ, Bader GD, Cayabyab FS and Babu M

If you have interaction data you'd like to deposit directly into the BioGRID Database, please contact us at biogridadmin@gmail.com.