Author

Daniel Lam

Broad Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Pharmacology & Toxicology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Andrew A. TubelliiD· 2 shared Aravind SubramanianiD· 2 shared Courtney Toder· 2 shared David L. LahriD· 2 shared Desiree Davison· 2 shared Jacob K. Asiedu· 2 shared John F. Davis· 2 shared Joshua GouldiD· 2 shared

Activity by Year

2017-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Andrew A. TubelliORCID

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Author profile →

3 papers

Recent·Most cited

The obesity-linked peptide SP16 regulates adipocytes through GIP and insulin receptor

Thi My Hanh Ngo, Rakesh Santhanam, Daniel P. Teufel, Alec Dick, Daniel Lam, Holger Klein, Andreas‐David Brunner, Mafalda Maria Azevedo Pereira, Alexander Bartelt, Anton Pekcec, Maude Giroud

This study identifies SP16 as a novel GIP receptor agonist that promotes lipolysis and has metabolic benefits in diet-induced obese mice.

bioRxiv · Jun 17, 2025 · PreprintPharmacology & Toxicology

A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations

Lev Litichevskiy, Ryan Peckner, Jennifer G. Abelin, Jacob K. Asiedu, Amanda L. Creech, John F. Davis, Desiree Davison, Caitlin M. Dunning, Jarrett D. Egertson, Shawn B. Egri, Joshua Gould, Tak Ko, Sarah Johnson, David L. Lahr, Daniel Lam, , Jacob D. Jaffe

The paper creates a proteomic resource profiling 90 drugs in six cell lines, revealing cell-specific responses and enabling integration with transcriptional data to identify therapeutic opportunities.

Cell Systems · Apr 1, 2018Peer-reviewedSystems Biology

A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles

Aravind Subramanian, Rajiv Narayan, Steven M. Corsello, David D. Peck, Ted Natoli, Xiaodong Lü, Joshua Gould, John F. Davis, Andrew A. Tubelli, Jacob K. Asiedu, David L. Lahr, Jodi Hirschman, Zihan Liu, Melanie K. Donahue, Bina Julian, , Todd R. Golub

The paper introduces the L1000 platform, a high-throughput gene expression profiling method, and reports 1.3 million perturbational profiles expanding the Connectivity Map for drug mechanism discovery and functional annotation.

Cell · Nov 1, 2017Peer-reviewedGenomics