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SANDEEP SINGH Email: ss5@nibmg.ac.in Present Position: Associate Professor Highest Educational Qualification: Ph.D.
Sandeep Singh's Profile. Profile. With broad background in cancer biology, Dr. Sandeep Singh has specific training and expertise in stem-cell biology of cancer, tumor microenvironment and cellular signaling. His research interest includes mechanistic understanding of nongenetic/ epigenetic heterogeneity associated with aggressive tumor behaviour.
Sandeep Singh. Basic and preclinical research on tumour microenvironment and non-genetic heterogeneity in cancer with integrative approach. Associate Professor at National Institute of...
- National Institute of Biomedical Genomics
Sandeep SINGH | National Institute of Biomedical Genomics, Kalyani | NIBMG | Cancer Genomics | Research profile. About. 58. Publications. 7,631. Reads. 1,378. Citations. Introduction....
36 Reads. Characterizing diversity among human oral stem-like cancer cells using flow cytometry. Full-text available. Article. Oct 2022. We have developed the protocol of flow cytometry for...
Mar 1, 2020 · Cancer associated fibroblasts (CAFs) are the most abundant stromal cell-type in solid tumor-microenvironment (TME) and have emerged as key player in tumor progression. CAFs establish communication with cancer cells through paracrine mechanisms or via direct cell adhesion as well as influence the can ….
Sandeep Singh, Ph.D.1 and Srikumar Chellappan, Ph.D.* 1 National Institute of Biomedical Genomics (NIBMG), TB Hospital Building, 2nd floor, Kalyani, West Bengal, INDIA
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Dec 23, 2012 · Sandeep Singh. @StemCan. Basic and clinical research on tumour microenvironment and non-genetic heterogeneity in cancer with integrative approach. Associate Professor. @FollowDbtNibmg. Kalyani, India nibmg.ac.in/p/people?id=19 Joined December 2012. 177 Following. 195 Followers. Tweets & replies. Media. Likes. Sandeep Singh. @StemCan. ·. Jul 22.
Profile. Research Interest: Our group is primarily involved in Statistical Genomics with applications to identification of genetic variants which confer susceptibility to complex diseases in humans. We use data from GWAS, transcriptomics, epigenomics, e-QTL studies, and develop techniques to accelerate discovery of variants, genes and pathways ...
