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Pankaj Chaturvedi

Publications and source records attributed to Pankaj Chaturvedi.

2 recordsLinked to original sources

Acidic transcription factors position the genome at nuclear speckles through transcription-dependent and -independent mechanisms.

A small fraction of the genome reproducibly positions near nuclear speckles (NSs), increasing the expression and/or splicing efficiency of NS-associated genes. How specific genomic regions in mammalian cells are targeted to NSs remains unclear. Here, we demonstrate the establishment of genome-wide NS association without active transcription. We show that DNA sequences derived from NS-associated regions, when integrated as transgenes, are autonomously targeted to NSs. By systematically dissecting one such genomic locus, the COL1A1-SGCA locus, we identified redundant NS-targeting cis-regulatory elements, including an ∼600-bp fragment with 17 binding motifs for 8 transcription factors (TFs). Four NS-targeting TFs within this fragment contain acidic activation domains (AADs) that provide both chromatin-context and transcription-dependent NS targeting, properties that appear to be common among several other tested AADs. A subset of acidic activator TFs contains an additional, transcription-independent NS-targeting activity. Our findings establish diverse and partially redundant NS-targeting activities, which may facilitate dynamic gene positioning at the NS periphery for context-specific transcriptional responses.

Transcription, Genetic

Association of alcohol and different types of alcoholic beverages on the risk of buccal mucosa cancer in Indian men: a multicentre case-control study.

INTRODUCTION: While a large proportion of buccal mucosa cancer (BMC) is attributed to tobacco use, the contribution of alcohol is little-known. In India, alcohols include internationally-recognised (IRL) and locally-brewed liquor (LBL) types, which might contribute differently to the risk of BMC. We conducted an observational study to evaluate the association of local and foreign alcoholic beverage use on the risk of developing BMC. METHODS: Data from 1803 BMC cases and 1903 visitor controls from a multicentric case-control study was analysed for 11 IRLs and 30 LBLs. Healthy visitor controls were randomly sampled from the source population of the study centres which enrolled the cases. Quantitative data on the amount, the number of times consumed per day or week, and the lifetime duration of consumption for each of the alcoholic beverages were collected using an interviewer administered standardised questionnaire, which was then used to estimate the grams per day consumption of alcohol. Odds ratios (OR) and 95% CI were estimated after adjustment for potential confounders, including tobacco use. The joint effect of tobacco and alcohol on BMC risk, the attributable fraction (AF) of cases and state-wise population attributable fraction (PAF) were estimated. RESULTS: An increased risk of 1.68 (95% CI=1.44-1.97), 1.72 (95% CI=1.46-2.04), and 1.87 (95% CI=1.46-2.39) was observed for ever-users of any alcohol, IRLs and LBLs, respectively for BMC. The findings show 9 grams/day of alcohol increased the risk of BMC by approximately 50%, and 62% of cases could be attributed to alcohol drinking and chewing tobacco, with an overall PAF of 11.3% for India. CONCLUSION: This study shows that alcohol, even in low quantities, increases the risk for BMC. Prevention of consumption of tobacco and alcohol together could substantially reduce the incidence of BMC.

Humans