Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alok K, Maity"'
Autor:
Alok K. Maity, Andrew E. Teschendorff
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Variations of cell-type proportions within tissues could be informative of biological aging and disease risk. Single-cell RNA-sequencing offers the opportunity to detect such differential abundance patterns, yet this task can be statisticall
Externí odkaz:
https://doaj.org/article/c3516c401fef4ff4a306d49b34171693
Publikováno v:
iScience, Vol 25, Iss 12, Pp 105709- (2022)
Summary: Cell-fate transitions are fundamental to development and differentiation. Studying them with single-cell omic data is important to advance our understanding of the cell-fate commitment process, yet this remains challenging. Here we present a
Externí odkaz:
https://doaj.org/article/02801f4e603243e88a840c9e8d7b5b89
Publikováno v:
Nature Aging. 2:548-561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1cbbcb381b8407374f6633baf2759fe
https://doi.org/10.1038/s43587-022-00233-9
https://doi.org/10.1038/s43587-022-00233-9
Autor:
Chen Wu, Andrew E. Teschendorff, Dongxin Lin, Jiang Chang, Jianbin Wang, Yanyi Huang, Alok K. Maity, Yuling Ma, Jie Yang, Wenyi Fan, Lin Lin, Yamei Chen, Yiyi Xi, Shaosen Zhang, Qi Luo, Yuan Lin, Xuan Zhao, Tianyuan Liu
Supplementary Data from Computational Identification of Preneoplastic Cells Displaying High Stemness and Risk of Cancer Progression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08ea55693c9eca7ae3c4707bf71acd41
https://doi.org/10.1158/0008-5472.22431857.v1
https://doi.org/10.1158/0008-5472.22431857.v1
Autor:
Chen Wu, Andrew E. Teschendorff, Dongxin Lin, Jiang Chang, Jianbin Wang, Yanyi Huang, Alok K. Maity, Yuling Ma, Jie Yang, Wenyi Fan, Lin Lin, Yamei Chen, Yiyi Xi, Shaosen Zhang, Qi Luo, Yuan Lin, Xuan Zhao, Tianyuan Liu
Evidence points toward the differentiation state of cells as a marker of cancer risk and progression. Measuring the differentiation state of single cells in a preneoplastic population could thus enable novel strategies for early detection and risk pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff98b3ace139fc51a9b038fccb285cc
https://doi.org/10.1158/0008-5472.c.6514016
https://doi.org/10.1158/0008-5472.c.6514016
Autor:
Tianyuan Liu, Xuan Zhao, Yuan Lin, Qi Luo, Shaosen Zhang, Yiyi Xi, Yamei Chen, Lin Lin, Wenyi Fan, Jie Yang, Yuling Ma, Alok K. Maity, Yanyi Huang, Jianbin Wang, Jiang Chang, Dongxin Lin, Andrew E. Teschendorff, Chen Wu
Publikováno v:
Cancer Research. 82:2520-2537
Evidence points toward the differentiation state of cells as a marker of cancer risk and progression. Measuring the differentiation state of single cells in a preneoplastic population could thus enable novel strategies for early detection and risk pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb3a7f7eb02932f13030fb890355feb7
https://doi.org/10.1158/0008-5472.can-22-0668
https://doi.org/10.1158/0008-5472.can-22-0668
Autor:
Alok K, Maity, Timothy C, Stone, Vanessa, Ward, Amy P, Webster, Zhen, Yang, Aine, Hogan, Hazel, McBain, Margaraet, Duku, Kai Man Alexander, Ho, Paul, Wolfson, David G, Graham, Stephan, Beck, Andrew E, Teschendorff, Laurence B, Lovat
Publikováno v:
Clinical epigenetics. 14(1)
Early detection of esophageal cancer is critical to improve survival. Whilst studies have identified biomarkers, their interpretation and validity is often confounded by cell-type heterogeneity.Here we applied systems-epigenomic and cell-type deconvo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::77a1efece3e1afd406c19968e99e1965
https://pubmed.ncbi.nlm.nih.gov/35164838
https://pubmed.ncbi.nlm.nih.gov/35164838