Anwesha Nag
Harvard University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Anwesha Nag.
eLife | 2013
Anwesha Nag; Virginia Savova; Ho-Lim Fung; Alexander Miron; Guo-Cheng Yuan; Kun Qiu Zhang; Alexander A. Gimelbrant
In mammals, numerous autosomal genes are subject to mitotically stable monoallelic expression (MAE), including genes that play critical roles in a variety of human diseases. Due to challenges posed by the clonal nature of MAE, very little is known about its regulation; in particular, no molecular features have been specifically linked to MAE. In this study, we report an approach that distinguishes MAE genes in human cells with great accuracy: a chromatin signature consisting of chromatin marks associated with active transcription (H3K36me3) and silencing (H3K27me3) simultaneously occurring in the gene body. The MAE signature is present in ∼20% of ubiquitously expressed genes and over 30% of tissue-specific genes across cell types. Notably, it is enriched among key developmental genes that have bivalent chromatin structure in pluripotent cells. Our results open a new approach to the study of MAE that is independent of polymorphisms, and suggest that MAE is linked to cell differentiation. DOI: http://dx.doi.org/10.7554/eLife.01256.001
G3: Genes, Genomes, Genetics | 2015
Anwesha Nag; Virginia Savova; Lillian M. Zwemer; Alexander A. Gimelbrant
Monoallelic expression of autosomal genes (MAE) is a widespread epigenetic phenomenon which is poorly understood, due in part to current limitations of genome-wide approaches for assessing it. Recently, we reported that a specific histone modification signature is strongly associated with MAE and demonstrated that it can serve as a proxy of MAE in human lymphoblastoid cells. Here, we use murine cells to establish that this chromatin signature is conserved between mouse and human and is associated with MAE in multiple cell types. Our analyses reveal extensive conservation in the identity of MAE genes between the two species. By analyzing MAE chromatin signature in a large number of cell and tissue types, we show that it remains consistent during terminal cell differentiation and is predominant among cell-type specific genes, suggesting a link between MAE and specification of cell identity.
Nature | 2018
Uri Ben-David; Benjamin Siranosian; Gavin Ha; Helen Tang; Yaara Oren; Kunihiko Hinohara; Craig A. Strathdee; Joshua Dempster; Nicholas J. Lyons; Robert T. Burns; Anwesha Nag; Guillaume Kugener; Beth Cimini; Peter Tsvetkov; Yosef E. Maruvka; Ryan O’Rourke; Anthony J Garrity; Andrew A. Tubelli; Pratiti Bandopadhayay; Aviad Tsherniak; Francisca Vazquez; Bang Wong; Chet Birger; Mahmoud Ghandi; Aaron R. Thorner; Joshua Bittker; Matthew Meyerson; Gad Getz; Rameen Beroukhim; Todd R. Golub
Human cancer cell lines are the workhorse of cancer research. Although cell lines are known to evolve in culture, the extent of the resultant genetic and transcriptional heterogeneity and its functional consequences remain understudied. Here we use genomic analyses of 106 human cell lines grown in two laboratories to show extensive clonal diversity. Further comprehensive genomic characterization of 27 strains of the common breast cancer cell line MCF7 uncovered rapid genetic diversification. Similar results were obtained with multiple strains of 13 additional cell lines. Notably, genetic changes were associated with differential activation of gene expression programs and marked differences in cell morphology and proliferation. Barcoding experiments showed that cell line evolution occurs as a result of positive clonal selection that is highly sensitive to culture conditions. Analyses of single-cell-derived clones demonstrated that continuous instability quickly translates into heterogeneity of the cell line. When the 27 MCF7 strains were tested against 321 anti-cancer compounds, we uncovered considerably different drug responses: at least 75% of compounds that strongly inhibited some strains were completely inactive in others. This study documents the extent, origins and consequences of genetic variation within cell lines, and provides a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research.The extent, origins and consequences of genetic variation within human cell lines are studied, providing a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research.
British Journal of Cancer | 2018
David S. Shulman; Kelly Klega; Alma Imamovic-Tuco; Andrea Clapp; Anwesha Nag; Aaron R. Thorner; Eliezer M. Van Allen; Gavin Ha; Stephen L. Lessnick; Richard Gorlick; Katherine A. Janeway; Patrick J. Leavey; Leo Mascarenhas; Wendy B. London; Kieuhoa T. Vo; Kimberly Stegmaier; David Hall; Mark Krailo; Donald A. Barkauskas; Steven G. DuBois; Brian D. Crompton
BackgroundNew prognostic markers are needed to identify patients with Ewing sarcoma (EWS) and osteosarcoma unlikely to benefit from standard therapy. We describe the incidence and association with outcome of circulating tumour DNA (ctDNA) using next-generation sequencing (NGS) assays.MethodsA NGS hybrid capture assay and an ultra-low-pass whole-genome sequencing assay were used to detect ctDNA in banked plasma from patients with EWS and osteosarcoma, respectively. Patients were coded as positive or negative for ctDNA and tested for association with clinical features and outcome.ResultsThe analytic cohort included 94 patients with EWS (82% from initial diagnosis) and 72 patients with primary localised osteosarcoma (100% from initial diagnosis). ctDNA was detectable in 53% and 57% of newly diagnosed patients with EWS and osteosarcoma, respectively. Among patients with newly diagnosed localised EWS, detectable ctDNA was associated with inferior 3-year event-free survival (48.6% vs. 82.1%; p = 0.006) and overall survival (79.8% vs. 92.6%; p = 0.01). In both EWS and osteosarcoma, risk of event and death increased with ctDNA levels.ConclusionsNGS assays agnostic of primary tumour sequencing results detect ctDNA in half of the plasma samples from patients with newly diagnosed EWS and osteosarcoma. Detectable ctDNA is associated with inferior outcomes.
PLOS ONE | 2017
Bruce M. Wollison; Edwin Thai; Aimee McKinney; Abigail Ward; Andrea Clapp; Catherine Clinton; Anwesha Nag; Aaron R. Thorner; Julie M. Gastier-Foster; Brian D. Crompton
Objectives Liquid biopsy technologies allow non-invasive tumor profiling for patients with solid tumor malignancies by sequencing circulating tumor DNA. These studies may be useful in risk-stratification, monitoring for relapse, and understanding tumor evolution. The quality of DNA obtained for these studies is improved when blood samples are collected in tubes that stabilizing white blood cells (WBC). However, ongoing germline research in pediatric oncology generally requires obtaining blood samples in EDTA tubes, which do not contain a WBC-stabilizing preservative. In this study, we explored whether blood samples collected in WBC-stabilizing tubes could be used for both liquid biopsy and germline studies simultaneously, minimizing blood collection volumes for pediatric patients. Methods Blood was simultaneously collected from three patients in both EDTA and Streck Cell-Free DNA BCT® tubes. Germline DNA was extracted from all blood samples and subjected to whole-exome sequencing and microarray profiling. Results Quality control metrics of DNA quality, sequencing library preperation and whole-exome sequencing alignment were virtually identical regardless of the sample collection method. There was no discernable difference in patterns of variant calling for paired samples by either whole-exome sequencing or microarray analysis. Conclusion Our study demonstrates that high-quality genomic studies may be performed from germline DNA obtained in Streck tubes. Therefore, these tubes may be used to simultaneously obtain samples for both liquid biopsy and germline studies in pediatric patients when the volume of blood available for research studies may be limited.
BMC Genomics | 2018
Laura E. MacConaill; Robert T. Burns; Anwesha Nag; Haley A. Coleman; Michael K. Slevin; Kristina Giorda; Madelyn Light; Kevin Lai; Mirna Jarosz; Matthew S. McNeill; Matthew Ducar; Matthew Meyerson; Aaron R. Thorner
Gastroenterology | 2018
Matthew D. Stachler; Nicholas D. Camarda; Christopher Deitrick; Anthony Kim; Agoston T. Agoston; Robert D. Odze; Jason L. Hornick; Anwesha Nag; Aaron R. Thorner; Matthew Ducar; Amy Noffsinger; Richard H. Lash; Mark Redston; Scott L. Carter; Jon M. Davison; Adam J. Bass
Developmental Biology | 2017
Virginia Savova; Esther J. Pearl; Elvan Boke; Anwesha Nag; Ivan Adzhubei; Marko E. Horb; Leonid Peshkin
Journal of Clinical Oncology | 2018
Matthew L. Hemming; Kelly Klega; Kate E Acker; Anwesha Nag; Aaron R. Thorner; Michael J. Nathenson; Chandrajit P. Raut; Brian D. Crompton; Suzanne George
JCO Precision Oncology | 2018
Kelly Klega; Alma Imamovic-Tuco; Gavin Ha; Andrea Clapp; Stephanie D. Meyer; Abigail Ward; Catherine Clinton; Anwesha Nag; Eliezer M. Van Allen; Elizabeth Mullen; Steven G. DuBois; Katherine A. Janeway; Matthew Meyerson; Aaron R. Thorner; Brian D. Crompton