Biology subjects

Choubey, M.

Publications and source records attributed to Choubey, M..

3 recordsLinked to original sources

bioRxiv2026

NgBR controls hepatic adiponectin signaling competence through KAT7-dependent chromatin regulation

Adiponectin signaling is essential for hepatic glucose homeostasis, yet the molecular basis of adiponectin receptor responsiveness remains incompletely understood. Here, we identify the Nogo-B receptor (NgBR; NUS1) as a regulator of hepatic adiponectin sensitivity. Across human, cynomolgus monkey, and mouse datasets, hepatic NgBR expression is consistently reduced in obesity-associated diabetes, indicating a conserved metabolic signature. Hepatocyte-specific NgBR deletion abolishes the metabolic effects of the adiponectin agonist AdipoRon, resulting in impaired AMPK activation, persistent gluconeogenesis, and ceramide accumulation. Mechanistically, NgBR loss suppresses KAT7 expression and reduces histone acetylation at AdipoR1 and AdipoR2 promoters, thereby limiting receptor expression. Adeno-associated virus (AAV)-mediated restoration of hepatic NgBR reinstates KAT7-dependent chromatin activation, adiponectin receptor expression, and glucose homeostasis. These findings support a hepatocellular mechanism in which NgBR maintains adiponectin receptor competence and suggest a potential therapeutic strategy for restoring adiponectin responsiveness in metabolic disease. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/726643v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@117fa66org.highwire.dtl.DTLVardef@1385297org.highwire.dtl.DTLVardef@b64369org.highwire.dtl.DTLVardef@3dd55_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2024

FerroEnrich: An Interactive web tool for computing Ferroptosis index and gene enrichment.

Ferroptosis is an iron-dependent form of controlled cell death and is characterized by the formation of lipid peroxides. Understanding gene expressions associated with ferroptosis is critical for determining its function in illnesses and potential therapeutic approaches. Despite its significance, no computational model is currently available to accurately quantify the ferroptosis incident. FerroEnrich is a sophisticated web-based tool built using R Shiny application to enumerate the occurrence of ferroptosis based on the relevant gene expressions. This tool available at https://ferroenrich.shinyapps.io/ferroenrich/ processes the input gene expression file to identify genes that are resistant or prone to ferroptosis, calculates ferroptosis index value with dynamic colored heatmap and gene network plot. This manuscript describes the design, operation and usability of FerroEnrich, including examples and a discussion of its potential impact on ferroptosis research. FerroEnrich is a vital tool for researchers, allowing them to explore and analyze complicated gene expression data related to ferroptosis.

bioinformatics↗

bioRxiv2019

Draft genome sequence of a popular Indian tea genotype TV-1

Camellia assamica L. (O). Kuntze. var. TV-1 from Assam, India is one of the most important tea cultivar of Indian Tea Industry which botanically belongs to Assam type and has distinct morphological as well as chemical constituent in leaf than China type of tea. We here present the first draft genome sequence of TV-1, assembled in 2.93 Gb size comprising of 14,824 scaffolds and covering 97.66% of the predicted genome size (3.0 Gb) as determined by flow cytometry. The N50 value, longest and average contig size for this draft genome was found to be as 538.96 Kb, 3.64 Mb and 197.99 Kb, respectively. There were 495,747 SSRs (Di- to Hexa-mers) in the genome and the repeat contents accounted for 71.87% of the genome. About 94.40% genome completeness was predicted with BUSCO, maximum among the published and reported tea genomes. The clustering of the assembled genome with Hi-C data resulted in 15 clusters ranging from the size of 631.46 Mb to 14.39 Mb and accounting 99.32% of assembled genome. This data will act as the starting point for unravelling the important genes and differentiating Indian tea from other commercially available tea varieties.

plant biology↗