Anob M. Chakrabarti

This study identifies how the long ZAP isoform recruits enzymes to degrade viral RNA through a coordinated decay pathway.

The paper identifies a class of condensation-prone RNAs during early development and reveals their sequence and structural features using deep learning.

The paper identifies a homeostatic mechanism called interstasis that co-regulates the dosage of proteins with low complexity domains through RNA-based negative feedback.

This study shows PRMT activity regulates 3' UTR shortening in proliferating cells through alternative polyadenylation, impacting cancer and immune-related diseases.

The paper identifies 3UTR-derived capped RNAs, showing they are abundant and originate from AGO2-mediated cleavage at G-quadruplexes, with implications for APP protein regulation.

The paper shows m6A methylation guides IMP1's regulation of microtubule-related mRNAs during human neuronal differentiation.

Flow provides a web platform and database for managing and analyzing large-scale bioinformatics data, addressing challenges in data processing, quality, and accessibility.

The paper extends a hiCLIP atlas of Staufen1-bound duplexes by 10-fold using computational methods and reveals structural features of RNA binding and their impact on RNA metabolism.

clipplotr is a command-line tool for visualizing and comparing CLIP data with annotations and functional genomic data, producing publication-quality figures.

This study identifies SRSF3 as a key regulator of epicardial formation by controlling cell proliferation and revealing its interactions with cell cycle regulators through single-cell RNA-sequencing and endogenous irCLIP.

The paper introduces an improved CLIP protocol (iiCLIP) that produces more specific RNA binding site datasets compared to existing methods.

The paper uses spliceosome iCLIP to map human spliceosome engagement with snRNAs and pre-mRNAs, identifying over 50,000 branchpoints and their associated splicing factor binding patterns.

The paper analyzes CRISPR-Cas9 editing precision in human cells, finding that indel profiles vary by site and can be predicted based on sequence and chromatin features.

The paper shows that LINE repeat sequences recruit RNA-binding proteins to repress splicing and 3' end processing in introns, contributing to lineage-specific RNA processing in mammals.

The paper evaluates computational methods for analyzing CLIP data to understand protein-RNA interactions and assesses their impact on regulatory insights.