Madhav Mantri

The paper presents a single-cell long-read isoform atlas across 26 human tissues, revealing novel isoforms and their role in cellular identity and senescence.

This study uses high-resolution spatial transcriptomics to map viral tropism and immune responses in neonatal mouse brains infected with reovirus, revealing spatial patterns of infection and immune module organization.

This study identifies Notch3 as a non-canonical organizer of intestinal lymphatic niche development through PDGFR{beta} cell signaling.

The paper expands Tabula Sapiens to include non-coding RNA data from 22 human tissues, revealing cell type-specific expression and subcellular localization patterns of non-coding RNAs.

This study uses single-cell RNA sequencing to show that SOCE blockers BTP2 and CM4620 reduce cytotoxicity in CD8 T cells and NK cells while preserving anti-inflammatory programs in CD4 Tregs.

The paper introduces AIR-SPACE, a method combining spatial transcriptomics and immune receptor sequencing to map adaptive immune responses in lymph nodes post-viral infection, revealing spatial dynamics of immune cell activation and differentiation.

The paper benchmarks large language models for cell-type and gene set annotation using AnnDictionary, finding high accuracy in cell-type annotation and strong functional gene set recovery.

This study shows that bone mineral density influences tumor growth by altering microenvironmental complexity in an organism-dependent manner.

This study identifies the origin and renewal mechanisms of gut lacteal smooth muscles from villus myofibroblasts in mice, revealing a NOTCH3-DLL4 signaling role in their development and function.

This study maps the spatiotemporal molecular changes during mouse ovary follicle maturation and ovulation, identifying key cell-type-specific programs and interactions.

This study uses spatiotemporal transcriptomics to map reovirus-induced myocarditis in neonatal mice, revealing immune responses and cellular interactions in the heart and intestine.

This paper introduces a method to spatially map the total transcriptome by enabling detection of non-polyadenylated RNAs through in situ polyadenylation.

The paper introduces a method to uncover transcriptionally active regions in scRNA-seq data beyond standard gene annotations, improving transcriptome coverage in understudied organisms.

This study uses spatiotemporal single-cell RNA sequencing to analyze chicken heart development, revealing the interplay between cellular differentiation and morphogenesis.

The paper integrates large-scale single-cell and spatial transcriptomic data to identify rare, transient muscle progenitor cell states involved in muscle regeneration.