S. Majumder

Chloroquine attenuates hypoxia-mediated autophagy to curb thrombosis- an ex vivo and in vivo study

This paper shows chloroquine inhibits hypoxia-induced autophagy in platelets, reducing thrombosis in both ex vivo and in vivo models.

S-nitrosylation of EZH2 at C329 and C700 interplay with PRC2 complex assembly, methyltransferase activity, and EZH2 stability to regulate endothelial functions

De novo design of diverse small molecule binders and sensors using Shape Complementary Pseudocycles

The paper designs nanomolar binders for diverse small molecules using a pseudocycle-based shape complementarity method, enabling direct conversion into sensing systems.

14K Prolactin Derived 14-Mer Antiangiogenic Peptide Targets Bradykinin-/Nitric Oxide-cGMP-Dependent Angiogenesis

This study identifies a novel 14-mer antiangiogenic peptide derived from prolactin that inhibits bradykinin- and eNOS-dependent angiogenesis, showing synergistic effects with Avastin in a colon cancer model.

Pneumonic plague protection induced by a monophosphoryl lipid A decorated Yersinia outer-membrane-vesicle vaccine

This study develops a pneumonic plague vaccine using OMV46-LcrV, which shows reduced reactogenicity and complete protection in mice against Y. pestis challenge.

The efficacy of CB-103, a first-in-class transcriptional Notch inhibitor, in preclinical models of breast cancer

This paper evaluates the efficacy and safety of CB-103, a Notch inhibitor, in preclinical breast cancer models, showing synergistic effects with existing therapies.

Regulation of shelterin proteins TERF2IP and TRF2 by H3K4me3-p65 axis drives hyperglycemia dependent endothelial senescence

This study shows hyperglycemia increases TERF2IP and TRF2 via H3K4me3-p65 axis, driving endothelial senescence through p53 and p21 upregulation.

Applying an interpretable machine learning approach to assess intraspecific trait variation under landscape-scale population differentiation

The paper uses interpretable machine learning to identify functional traits predictive of ecoregion origin in sunflower populations.

Increase in primary cilia number and length upon VDAC1 depletion contributes to attenuated proliferation of cancer cells

This study shows that VDAC1 depletion increases primary cilia length and number, which inhibits cell proliferation in cancer cells.

A Machine Learning approach to study plant functional trait divergence

This study uses machine learning to identify functional traits driving interspecific phenotypic divergence in Helianthus, finding varying trait importance across genus and clade levels.

Targeting Cblb-Notch1 axis as a novel immunotherapeutic strategy to boost CD8+ T-cells responses

This study identifies a novel immunosuppressive pathway involving Cbl-b-mediated Notch1 degradation and shows that targeting this axis enhances CD8+ T-cell responses and anti-cancer immunity.

Arid5a mediates an IL-17-dependent pathway that drives autoimmunity but not antifungal host defense

This study shows Arid5a promotes IL-17-dependent autoimmunity but not antifungal immunity, suggesting targeted therapy could reduce autoimmune side effects.

In vitro synthesis and reconstitution using mammalian cell-free lysates enables the systematic study of the regulation of LINC complex assembly

This paper develops a cell-free system to study LINC complex assembly by reconstituting membrane proteins in lipid bilayers and shows its utility in investigating chemical and molecular factors affecting protein interactions.

Predicting the time of entry of nanoparticles in cellular membranes

The paper introduces a theoretical model to predict nanoparticle membrane permeation time by separating nanoparticle and membrane properties, validated with experimental and simulation data.

Clustering and correlations: Inferring resilience from spatial patterns in ecosystems

This paper examines the relationship between spatial clustering patterns and ecosystem resilience, finding that power-law clustering does not reliably indicate ecosystem thresholds or collapse.

Cities of the future, visualizing climate change to inspire actions

The paper uses climate projections to visualize future city climates, showing how cities will resemble other cities' current climates by 2050 to inspire action on climate change.