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Author Details
Full Name
Jesse S Boehm
Affiliation
Broad Institute of Harvard and MIT
ORCID
Career Start Year
2004
Papers
82
H Index
49
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37612728
Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal.
Genome Biol
2023
37612728
Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal.
Genome Biol
2023
35084050
Implementation of a prostate cancer-specific targeted sequencing panel for credentialing of patient-derived cell lines and genomic characterization of patient samples.
Prostate
2022
35437317
Phosphate dysregulation via the XPR1-KIDINS220 protein complex is a therapeutic vulnerability in ovarian cancer.
Nat Cancer
2022
36258042
Author Correction: Massively parallel phenotyping of coding variants in cancer with Perturb-seq.
Nat Biotechnol
2022
35353015
Cell Painting predicts impact of lung cancer variants.
Mol Biol Cell
2022
35058622
Massively parallel phenotyping of coding variants in cancer with Perturb-seq.
Nat Biotechnol
2022
35085500
Sparse dictionary learning recovers pleiotropy from human cell fitness screens.
Cell Syst
2022
35084050
Implementation of a prostate cancer-specific targeted sequencing panel for credentialing of patient-derived cell lines and genomic characterization of patient samples.
Prostate
2022
35353015
Cell Painting predicts impact of lung cancer variants.
Mol Biol Cell
2022
35437317
Phosphate dysregulation via the XPR1-KIDINS220 protein complex is a therapeutic vulnerability in ovarian cancer.
Nat Cancer
2022
36258042
Author Correction: Massively parallel phenotyping of coding variants in cancer with Perturb-seq.
Nat Biotechnol
2022
35085500
Sparse dictionary learning recovers pleiotropy from human cell fitness screens.
Cell Syst
2022
35058622
Massively parallel phenotyping of coding variants in cancer with Perturb-seq.
Nat Biotechnol
2022
34260938
Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q.
Cell Rep
2021
33753930
A first-generation pediatric cancer dependency map.
Nat Genet
2021
34099491
Gene Fusions Create Partner and Collateral Dependencies Essential to Cancer Cell Survival.
Cancer Res
2021
34260938
Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q.
Cell Rep
2021
33500573
Cancer research needs a better map.
Nature
2021
34723225
Weekly SARS-CoV-2 screening of asymptomatic kindergarten to grade 12 students and staff helps inform strategies for safer in-person learning.
Cell Rep Med
2021
34930405
Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects.
Genome Biol
2021
33753930
A first-generation pediatric cancer dependency map.
Nat Genet
2021
33500573
Cancer research needs a better map.
Nature
2021
34930405
Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects.
Genome Biol
2021
34723225
Weekly SARS-CoV-2 screening of asymptomatic kindergarten to grade 12 students and staff helps inform strategies for safer in-person learning.
Cell Rep Med
2021
34099491
Gene Fusions Create Partner and Collateral Dependencies Essential to Cancer Cell Survival.
Cancer Res
2021
32613204
Discovering the anti-cancer potential of non-oncology drugs by systematic viability profiling.
Nat Cancer
2020
32696566
The Cancer Dependency Map enables drug mechanism-of-action investigations.
Mol Syst Biol
2020
32613204
Discovering the anti-cancer potential of non-oncology drugs by systematic viability profiling.
Nat Cancer
2020
33326793
Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q.
Cell Rep
2020
33326793
Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q.
Cell Rep
2020
32696566
The Cancer Dependency Map enables drug mechanism-of-action investigations.
Mol Syst Biol
2020
30397176
A Combination CDK4/6 and IGF1R Inhibitor Strategy for Ewing Sarcoma.
Clin Cancer Res
2019
31862961
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets.
Nat Commun
2019
30397176
A Combination CDK4/6 and IGF1R Inhibitor Strategy for Ewing Sarcoma.
Clin Cancer Res
2019
30928774
From cell lines to living biosensors: new opportunities to prioritize cancer dependencies using ex vivo tumor cultures.
Curr Opin Genet Dev
2019
30971823
WRN helicase is a synthetic lethal target in microsatellite unstable cancers.
Nature
2019
30860482
Renal medullary carcinomas depend upon <i>SMARCB1</i> loss and are sensitive to proteasome inhibition.
Elife
2019
30962421
A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosis.
Nat Commun
2019
31068700
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Nature
2019
31862961
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets.
Nat Commun
2019
31068700
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Nature
2019
30860482
Renal medullary carcinomas depend upon <i>SMARCB1</i> loss and are sensitive to proteasome inhibition.
Elife
2019
30971823
WRN helicase is a synthetic lethal target in microsatellite unstable cancers.
Nature
2019
30962421
A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosis.
Nat Commun
2019
30928774
From cell lines to living biosensors: new opportunities to prioritize cancer dependencies using ex vivo tumor cultures.
Curr Opin Genet Dev
2019
29200198
NetSig: network-based discovery from cancer genomes.
Nat Methods
2018
30550791
Organoid Modeling of the Tumor Immune Microenvironment.
Cell
2018
30389920
Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration.
Nat Commun
2018
29915188
GeNets: a unified web platform for network-based genomic analyses.
Nat Methods
2018
1 - 50 of 164
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row(s) 1 - 30 of 30
Collaborators
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Broad Institute of MIT and Harvard, USA Dana-Farber Cancer Institute
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David E Root
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Co-authored papers
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Todd R Golub
Broad Institute of MIT and Harvard
Co-authored papers
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Francisca Vazquez
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Co-authored papers
24
Aviad Tsherniak
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21
Barbara A Weir
Janssen Research and Development LLC
Co-authored papers
16
Matthew Meyerson
Broad Institute
Co-authored papers
15
Gad Getz
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Co-authored papers
15
Levi A Garraway
Broad Institute of Harvard and MIT
Co-authored papers
15
Pablo Tamayo
University of California San Diego
Co-authored papers
13
John G Doench
Co-authored papers
12
Federica Piccioni
Co-authored papers
11
Xiaoyun Wu
Co-authored papers
11
Eric S Lander
Vanderbilt-Ingram Cancer Center, Vanderbilt University
Co-authored papers
10
Jill P Mesirov
University of California San Diego
Co-authored papers
8
Aravind Subramanian
Co-authored papers
8
Bang Wong
Co-authored papers
8
Ian F Dunn
Co-authored papers
7
Glenn S Cowley
Broad Institute of Harvard and MIT
Co-authored papers
7
Rameen Beroukhim
Co-authored papers
7
Eliezer M Van Allen
Dana-Farber Cancer Institute
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7
Kimberly Stegmaier
Dana-Farber Cancer Institute
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7
Serena J Silver
Co-authored papers
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Paul A Clemons
Broad Institute
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Stuart L Schreiber
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