Sumit Govil

Prof. Sumit Govil

orcid
Professor (Bioinformatics & Data Science) & Chair Professor ...

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in Phytomedicine
Verified
Journal Article
Closed access
NTNiraj Tripathi
Niraj Tripathi
DSDivya Shrivastava
Divya Shrivastava
BMBilal Ahmad Mir
Bilal Ahmad Mir
SKShailesh Kumar
Shailesh Kumar
Sumit GovilSumit Govil
Sumit Govil
PBPrakash S Bisen
Prakash S Bisen

26 May 2025 in The Microbe
Verified
Journal Article
Open access
AKAviral Kaushik
Aviral Kaushik
NMNaureenbanu Makarani
Naureenbanu Makarani
KBKrupanshi Bharadava
Krupanshi Bharadava
JGJeetaram Gehlot
Jeetaram Gehlot
BNBhukya Vishnu Naik
Bhukya Vishnu Naik
RKRadhey Shyam Kaushal
Radhey Shyam Kaushal

9 November 2016 in The Natural Products Journal
Verified
Journal Article
Closed access
SMShweta Mittal
Shweta Mittal
DSDivya Shrivastava
Divya Shrivastava
Sumit GovilSumit Govil
Sumit Govil
SKShailesh Kumar
Shailesh Kumar
PBPrakash S. Bisen
Prakash S. Bisen

9 November 2016 in The Natural Products Journal
Verified
Journal Article
Closed access
MVMaryam Vahedi
Maryam Vahedi
Sumit GovilSumit Govil
Sumit Govil
SKShailesh Kumar
Shailesh Kumar
DSDivya Shrivastava
Divya Shrivastava
RKRoghaye Karimi
Roghaye Karimi
PBPrakash S. Bisen
Prakash S. Bisen

30 December 2025 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Closed access
AKAviral Kaushik
Aviral Kaushik
MPManisha Pritam
Manisha Pritam
Sumit GovilSumit Govil
Sumit Govil
RKRadhey Shyam Kaushal
Radhey Shyam Kaushal

Verified
Journal Article
Open access
PDF file
Nasar AtaNasar Ata
Nasar Ata
JMJoshua S Mytych
Joshua S Mytych
MCMIRELA CERGHET
MIRELA CERGHET
RRRamandeep Rattan
Ramandeep Rattan
Sumit GovilSumit Govil
Sumit Govil
YMYang Mao-Draayer
Yang Mao-Draayer
Disease-modifying therapies (DMT)s) for relapsing-remitting multiple sclerosis (RRMS) act through distinct immunological mechanisms, yet the within-patient molecular response programs associated with these therapies remain incompletely defined. Here, we reanalyzed publicly available peripheral blood mononuclear cell (PBMC) miRNA microarray data (GSE230064) using a longitudinal, robustness-focused framework to compare therapy-associated miRNA response patterns following cladribine versus ocrelizumab treatment. Baseline (t0) and 6-month post-treatment (t1) samples were paired within individuals and technical replicates consolidated prior to analysis, yielding a final paired cohort of four cladribine-treated and six ocrelizumab-treated patients. Within each treatment arm, we quantified per-patient Δ-miRNA (t1 − t0) values and prioritized therapy-associated response features using a multi-evidence framework integrating effect direction, magnitude, directional consistency across individuals, and leave-one-out sensitivity. Cladribine treatment was associated with a highly coordinated, directionally concordant upregulation of five miRNAs including hsa-miR-27a-3p, hsa-miR-27b-3p, hsa-miR-503-5p, hsa-miR-148a-3p, and hsa-miR-26a-5p, all exhibiting 100% directional stability across patients and mean Δ-expression values ranging from +0.77 to +1.38. These miRNAs target pathways relevant to MS pathophysiology, including Th17/Treg balance, Wnt-β-catenin signaling, macrophage polarization, and epigenetic immune regulation. In contrast, ocrelizumab elicited a more selective response pattern, with five miRNAs including hsa-miR-100-5p, hsa-miR-410-3p, hsa-miR-432-5p, hsa-miR-296-5p, and hsa-miR-485-3p showing moderate directional stability (83%) and greater inter-individual heterogeneity, consistent with the more targeted mechanism of CD20+ B-cell depletion. Notably, the two treatment-associated signatures were non-overlapping, with hsa-miR-27b-3p representing the only miRNA shared with prior cross-sectional analyses of this dataset. The identified ocrelizumab-associated miRNAs implicate pathways including mTOR/IGF1R signaling, NF-κB regulation, RNA editing, and mitochondrial biogenesis, several of which are dysregulated in progressive MS. Together, these findings demonstrate that cladribine and ocrelizumab induce distinct, treatment-specific miRNA response architectures that reflect their divergent immunological mechanisms. This work establishes a stability-aware analytic template for extracting reproducible longitudinal miRNA signals from small paired RRMS cohorts and provides a ranked set of biologically plausible candidate miRNAs for prospective validation and mechanistic investigation.