Author

D. Singhal

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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Physiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 1 Organism:mouse· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

A. H. Luchman· 1 shared A. Nikolic· 1 shared B. Haibe-Kains· 1 shared B. Nadorp· 1 shared C. Arlidge· 1 shared C. Evans-Molina· 1 shared E. G. Korn· 1 shared F. J. Coutinho· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCancer Biology

A. H. Luchman

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Author profile →

3 papers

Recent·Most cited

A Multiresolution Approach with Method-Informed Statistical Analysis for Quantifying Lymphatic Pumping Dynamics

M. S. Razavi, K. J. Ruscic, E. G. Korn, M. Marquez, T. T. Houle, D. Singhal, L. L. Munn, T. P. Padera

This paper develops a multiresolution imaging and analysis approach to quantify lymphatic pumping dynamics, improving measurement reliability across species and conditions.

bioRxiv · Apr 24, 2024Physiology

A discovery-based proteomics approach identifies protein disulfide isomerase (PDIA1) as a biomarker of β cell stress in type 1 diabetes

F. Syed, D. Singhal, K. Raedschelders, P. Krishnan, R. N. Bone, M. R. McLaughlin, J. E. Van Eyk, R. G. Mirmira, M.-L. Yang, M. J. Mamula, H. Wu, X. Liu, C. Evans-Molina

The paper identifies PDIA1 as a biomarker of β cell stress in type 1 diabetes using proteomics and validation in mouse models and human samples.

bioRxiv · Dec 22, 2021 · PreprintPhysiology

Single-cell chromatin accessibility in glioblastoma delineates cancer stem cell heterogeneity predictive of survival

P. Guilhamon, M. M. Kushida, A. Nikolic, D. Singhal, G. MacLeod, S. A. M. Tonekaboni, F. M. Cavalli, C. Arlidge, N. Rajakulendran, N. Rastegar, X. Hao, R. Hassam, L. J. Smith, H. Whetstone, F. J. Coutinho, , M. Lupien

The paper uses single-cell chromatin accessibility to identify distinct glioblastoma stem cell states predictive of patient survival.

bioRxiv · Mar 13, 2020 · PreprintCancer Biology