Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Debarka Sengupta"'
Autor:
Bianca C. T. Flores, Smriti Chawla, Ning Ma, Chad Sanada, Praveen Kumar Kujur, Rudy Yeung, Margot B. Bellon, Kyle Hukari, Brian Fowler, Mark Lynch, Ludmilla T. D. Chinen, Naveen Ramalingam, Debarka Sengupta, Stefanie S. Jeffrey
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-8 (2022)
A microfluidic system combines the capture, co-incubation, time-lapse imaging, and gene expression profiling of doublets to measure the distances between cells and associated transcriptional profiles due to cell–cell interactions.
Externí odkaz:
https://doaj.org/article/1332145f194e41f78d1b27d11c29bdd9
Autor:
Smriti Chawla, Anja Rockstroh, Melanie Lehman, Ellca Ratther, Atishay Jain, Anuneet Anand, Apoorva Gupta, Namrata Bhattacharya, Sarita Poonia, Priyadarshini Rai, Nirjhar Das, Angshul Majumdar, Jayadeva, Gaurav Ahuja, Brett G. Hollier, Colleen C. Nelson, Debarka Sengupta
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Predicting treatment response in cancer remains a highly complex task. Here, the authors develop Precily, a deep neural network framework to predict treatment response in cancer by considering gene expression, pathway activity estimates and drug feat
Externí odkaz:
https://doaj.org/article/02a9dee061714a6ca6f4b672374147c3
Autor:
Salim Ghannoum, Damiano Fantini, Muhammad Zahoor, Veronika Reiterer, Santosh Phuyal, Waldir Leoncio Netto, Øystein Sørensen, Arvind Iyer, Debarka Sengupta, Lina Prasmickaite, Gunhild Mari Mælandsmo, Alvaro Köhn-Luque, Hesso Farhan
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 4, p e1010995 (2023)
Our understanding of how speed and persistence of cell migration affects the growth rate and size of tumors remains incomplete. To address this, we developed a mathematical model wherein cells migrate in two-dimensional space, divide, die or intravas
Externí odkaz:
https://doaj.org/article/b8118049e62a414e937e60e0e8721f71
Autor:
Chitrita Goswami, Smriti Chawla, Deepshi Thakral, Himanshu Pant, Pramod Verma, Prabhat Singh Malik, Jayadeva ▮, Ritu Gupta, Gaurav Ahuja, Debarka Sengupta
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Early diagnosis is crucial for effective medical management of cancer patients. Tissue biopsy has been widely used for cancer diagnosis, but its invasive nature limits its application, especially when repeated biopsies are needed.
Externí odkaz:
https://doaj.org/article/299bb670c54a462791afb91469cc7718
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Algorithms designed to find rare cells in single cell RNA-seq data sets cannot cope with data sets containing tens of thousands of cells. Here the authors present Finder of Rare Entities (FiRE), an algorithm that uses the Sketching technique to assig
Externí odkaz:
https://doaj.org/article/e5f61881b96d473a964962f81525ffb9
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Over the last decade autologous stem cell transplantation (ASCT) has emerged as the standard of care in the management of Multiple Myeloma (MM). However, the cases of early relapse (within 36 months) after the stem cell rescue remains a significant c
Externí odkaz:
https://doaj.org/article/dc1c0cf215d14c119bb09ea54187bafc
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Motivation: Single-cell RNA sequencing has been proved to be revolutionary for its potential of zooming into complex biological systems. Genome-wide expression analysis at single-cell resolution provides a window into dynamics of cellular phenotypes.
Externí odkaz:
https://doaj.org/article/b8e26d1a84f846c89e30462a394e6756
Autor:
Arvind Iyer, Krishan Gupta, Shreya Sharma, Kishore Hari, Yi Fang Lee, Neevan Ramalingam, Yoon Sim Yap, Jay West, Ali Asgar Bhagat, Balaram Vishnu Subramani, Burhanuddin Sabuwala, Tuan Zea Tan, Jean Paul Thiery, Mohit Kumar Jolly, Naveen Ramalingam, Debarka Sengupta
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 2, p 370 (2021)
In the published manuscript [...]
Externí odkaz:
https://doaj.org/article/e66506663f354df392db3fe56ebb5079
Autor:
Chitrita Goswami, Smriti Chawla, Deepshi Thakral, Himanshu Pant, Pramod Verma, Prabhat Singh Malik, Jayadeva, Ritu Gupta, Gaurav Ahuja, Debarka Sengupta
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://doaj.org/article/6b2a4ff538f24f21912af343d68041e1
Autor:
Arvind Iyer, Krishan Gupta, Shreya Sharma, Kishore Hari, Yi Fang Lee, Neevan Ramalingam, Yoon Sim Yap, Jay West, Ali Asgar Bhagat, Balaram Vishnu Subramani, Burhanuddin Sabuwala, Tuan Zea Tan, Jean Paul Thiery, Mohit Kumar Jolly, Naveen Ramalingam, Debarka Sengupta
Publikováno v:
Journal of Clinical Medicine, Vol 9, Iss 4, p 1206 (2020)
We collated publicly available single-cell expression profiles of circulating tumor cells (CTCs) and showed that CTCs across cancers lie on a near-perfect continuum of epithelial to mesenchymal (EMT) transition. Integrative analysis of CTC transcript
Externí odkaz:
https://doaj.org/article/4acfab93d0a24d6ab829e943c228bd6d