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Single cell biology—a Keystone Symposia report
Annals of the New York Academy of Sciences ( IF 5.2 ) Pub Date : 2021-10-03 , DOI: 10.1111/nyas.14692
Jennifer Cable 1 , Michael B Elowitz 2, 3 , Ana I Domingos 4, 5 , Naomi Habib 6, 7 , Shalev Itzkovitz 8 , Homaira Hamidzada 9 , Michael S Balzer 10 , Itai Yanai 11 , Prisca Liberali 12 , Jessica Whited 13 , Aaron Streets 14, 15 , Long Cai 2 , Andrew B Stergachis 16 , Clarice Kit Yee Hong 17, 18 , Leeat Keren 8, 19 , Martin Guilliams 20 , Uri Alon 21 , Alex K Shalek 22 , Regan Hamel 23 , Sarah J Pfau 24 , Arjun Raj 25, 26 , Stephen R Quake 15, 27, 28 , Nancy R Zhang 29 , Jean Fan 30 , Cole Trapnell 31 , Bo Wang 27, 32 , Noah F Greenwald 19 , Roser Vento-Tormo 33 , Silvia D M Santos 34 , Sabrina L Spencer 35 , Hernan G Garcia 36 , Geethika Arekatla 37 , Federico Gaiti 38 , Rinat Arbel-Goren 39 , Steffen Rulands 40 , Jan Philipp Junker 41 , Allon M Klein 42 , Samantha A Morris 18, 43 , John I Murray 25 , Kate E Galloway 44 , Michael Ratz 45 , Merrit Romeike 46
Affiliation  

Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state—transcriptional, epigenetic, and other characteristics—can lead to different cell fates among genetically identical cells, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming. Single cell technologies also pose significant challenges relating to processing and analyzing vast amounts of data collected. To realize the potential of single cell technologies, new computational approaches are needed. On March 17–19, 2021, experts in single cell biology met virtually for the Keystone eSymposium “Single Cell Biology” to discuss advances both in single cell applications and technologies.

中文翻译:

单细胞生物学——Keystone 研讨会报告

单细胞生物学有可能阐明许多关键的生物过程和疾病,从发育和再生到癌症。单细胞分析揭示了细胞的分子多样性,更清晰地揭示了不同细胞类型之间和之间的差异。新技术开始揭示细胞状态(转录、表观遗传和其他特征)的差异如何导致遗传相同细胞之间的不同细胞命运,这是胚胎发育、耐药性、对损伤的反应和细胞重编程等复杂过程的基础. 单细胞技术也对处理和分析收集的大量数据提出了重大挑战。为了实现单细胞技术的潜力,需要新的计算方法。3 月 17 日至 19 日,
更新日期:2021-10-03
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