Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Sharmila A Bapat"'
Publikováno v:
Computational and Systems Oncology, Vol 2, Iss 3, Pp n/a-n/a (2022)
Abstract In vitro migration assays are a cornerstone of cell biology and have found extensive utility in research. Over the past decade, several variations of the two‐dimensional (2D) migration assay have improved our understanding of this fundamen
Externí odkaz:
https://doaj.org/article/54fed7aa22fa465dba1e488edd2d8c38
Autor:
Rajkumar S Kalra, Sharmila A Bapat
Publikováno v:
PLoS ONE, Vol 8, Iss 8, p e70398 (2013)
The process of cellular transformation involves cascades of molecular changes that are modulated through altered epigenetic, transcription, post-translational and protein regulatory networks. Thus, identification of transformation-associated protein
Externí odkaz:
https://doaj.org/article/9ac0f1ad30424e5280a595e8bd77bcf1
Autor:
Aijaz A Wani, Sajad H Ahanger, Sharmila A Bapat, Ashraf Y Rangrez, Nitin Hingankar, C G Suresh, Shama Barnabas, Milind S Patole, Yogesh S Shouche
Publikováno v:
PLoS ONE, Vol 2, Iss 9, p e942 (2007)
BACKGROUND: Mitochondrial encephalomyopathies are a heterogeneous group of clinical disorders generally caused due to mutations in either mitochondrial DNA (mtDNA) or nuclear genes encoding oxidative phosphorylation (OXPHOS). We analyzed the mtDNA se
Externí odkaz:
https://doaj.org/article/66a7ada2403c425491a63410bbc3dd12
Publikováno v:
Medical Journal Armed Forces India. 78:S7-S13
The rapid development of advanced high throughput technologies and introduction of high resolution "omics" data through analysis of biological molecules has revamped medical research. Single-cell sequencing in recent years, is in fact revolutionising
Supplementary Table 1. Differentially methylated genes in correlation with their expression pattern in the A4 progression model Supplementary Table 2. Genes enriched for different histone methylation marks in A4 progression model identified through C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a630aa38f6f6be2bb386f9a5873c0e0
https://doi.org/10.1158/1078-0432.22454906.v1
https://doi.org/10.1158/1078-0432.22454906.v1
Autor:
Sharmila A. Bapat, Sagar R. Budhe, Swapnil C. Kamble, Tejaswini U. Deshpande, Nilesh L. Gardi
Purpose: Tumor heterogeneity and subsistence of high-grade serous ovarian adenocarcinoma (HGSC) classes can be speculated from clinical incidences suggesting passive tumor dissemination versus active invasion and metastases.Experimental Design: We ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd25a681d532d53e0f69e3670022a65
https://doi.org/10.1158/1078-0432.c.6521855.v1
https://doi.org/10.1158/1078-0432.c.6521855.v1
Purpose: Resolution of aberrant epigenetic changes leading to altered gene expression during transformation and tumor progression is pertinent for mechanistic understanding of disrupted pathways in cancer. Such changes provide for biomarkers that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a8ea37c98bb4cf838a75adf6f1ee5ed
https://doi.org/10.1158/1078-0432.c.6522869.v1
https://doi.org/10.1158/1078-0432.c.6522869.v1
Supplementary Fig.1. Flow chart of approach for identification of progression associated biomarkers based on differential promoter methylation Supplementary Fig.2a. Venn diagram representing hypo- and hyper-methylated genes in the A4 progression mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4345d65e8596dcc3aa2f588814dc9cd
https://doi.org/10.1158/1078-0432.22454909
https://doi.org/10.1158/1078-0432.22454909
Autor:
Sharmila A. Bapat, Sagar R. Budhe, Swapnil C. Kamble, Tejaswini U. Deshpande, Nilesh L. Gardi
PDF file - 2135K, Supplementary Table 1. List of TCGA samples used in analyses. Supplementary Figure S1. Identification of EMT target genes. Supplementary Table 2. List of EMT-TF targets and LPA-S1P signaling components. Supplementary Figure S2. Tumo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0349f394580f39dc76590f07dbc391b0
https://doi.org/10.1158/1078-0432.22450118
https://doi.org/10.1158/1078-0432.22450118
Supplementary Table 2 from Gene Expression: Protein Interaction Systems Network Modeling Identifies Transformation-Associated Molecules and Pathways in Ovarian Cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186bd77d8c496e1b33905e2281595c97
https://doi.org/10.1158/0008-5472.22382598
https://doi.org/10.1158/0008-5472.22382598