Debarka Sengupta
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Explore the profile of Debarka Sengupta including associated specialties, affiliations and a list of published articles.
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53
Citations
1191
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Recent Articles
1.
Gautam V, Duari S, Solanki S, Gupta M, Mittal A, Arora S, et al.
Cell Rep
. 2025 Feb;
44(2):115270.
PMID: 39918957
Current deep-learning-based image-analysis solutions exhibit limitations in holistically capturing spatiotemporal cellular changes, particularly during aging. We present scCamAge, an advanced context-aware multimodal prediction engine that co-leverages image-based cellular spatiotemporal features...
2.
Arora S, Mittal A, Duari S, Chauhan S, Dixit N, Mohanty S, et al.
Nat Aging
. 2024 Dec;
5(1):144-161.
PMID: 39627462
Aging involves metabolic changes that lead to reduced cellular fitness, yet the role of many metabolites in aging is unclear. Understanding the mechanisms of known geroprotective molecules reveals insights into...
3.
Deka A, Kumar N, Basu S, Chawla M, Bhattacharya N, Ali S, et al.
EMBO J
. 2024 Jul;
43(18):3895-3915.
PMID: 39060515
Dendritic cell (DC) dysfunction is known to exacerbate intestinal pathologies, but the mechanisms compromising DC-mediated immune regulation in this context remain unclear. Here, we show that intestinal dendritic cells from...
4.
Rai P, Jain A, Kumar S, Sharma D, Jha N, Chawla S, et al.
Bioinformatics
. 2024 Apr;
40(4).
PMID: 38608194
Motivation: Dysregulation of a gene's function, either due to mutations or impairments in regulatory networks, often triggers pathological states in the affected tissue. Comprehensive mapping of these apparent gene-pathology relationships...
5.
Arora S, Satija S, Mittal A, Solanki S, Mohanty S, Srivastava V, et al.
Chembiochem
. 2023 Oct;
25(1):e202300577.
PMID: 37874183
Cellular genome is considered a dynamic blueprint of a cell since it encodes genetic information that gets temporally altered due to various endogenous and exogenous insults. Largely, the extent of...
6.
Arora U, Sengupta D, Kumar M, Tirupathi K, Sai M, Hareesh A, et al.
Placenta
. 2023 Aug;
140:109-116.
PMID: 37572594
Introduction: The objective was to perform placental ultrasound image texture (UPIA) in first (T1), second(T2) and third(T3) trimesters of pregnancy using machine learning( ML). Methods: In this prospective observational study...
7.
Ghannoum S, Fantini D, Zahoor M, Reiterer V, Phuyal S, Leoncio Netto W, et al.
PLoS Comput Biol
. 2023 Apr;
19(4):e1010995.
PMID: 37068117
Our understanding of how speed and persistence of cell migration affects the growth rate and size of tumors remains incomplete. To address this, we developed a mathematical model wherein cells...
8.
Mishra S, Pandey N, Chawla S, Sharma M, Chandra O, Jha I, et al.
Genome Res
. 2023 Jan;
33(2):218-231.
PMID: 36653120
The true benefits of large single-cell transcriptome and epigenome data sets can be realized only with the development of new approaches and search tools for annotating individual cells. Matching a...
9.
Mohanty S, Maryam S, Gautam V, Mittal A, Gupta K, Arora R, et al.
Brief Funct Genomics
. 2022 Dec;
22(3):281-290.
PMID: 36542133
Odorant receptors (ORs) obey mutual exclusivity and monoallelic mode of expression. Efforts are ongoing to decipher the molecular mechanism that drives the 'one-neuron-one-receptor' rule of olfaction. Recently, single-cell profiling of...
10.
Li H, Courtois E, Sengupta D, Tan Y, Chen K, Goh J, et al.
Nat Genet
. 2022 Dec;
55(1):166.
PMID: 36536257
No abstract available.