Scaling single-cell genomics from phenomenology to mechanism
Three of the most fundamental questions in biology are how individual cells differentiate to form tissues, how tissues function in a coordinated and flexible fashion and which gene regulatory mechanisms support these processes. Single-cell genomics is opening up new ways to tackle these questions by...
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Nature Publishing Group
2018
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Online Access: | http://hdl.handle.net/1721.1/116803 https://orcid.org/0000-0001-8567-2049 |
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author | Tanay, Amos Regev, Aviv |
author2 | Massachusetts Institute of Technology. Department of Biology |
author_facet | Massachusetts Institute of Technology. Department of Biology Tanay, Amos Regev, Aviv |
author_sort | Tanay, Amos |
collection | MIT |
description | Three of the most fundamental questions in biology are how individual cells differentiate to form tissues, how tissues function in a coordinated and flexible fashion and which gene regulatory mechanisms support these processes. Single-cell genomics is opening up new ways to tackle these questions by combining the comprehensive nature of genomics with the microscopic resolution that is required to describe complex multicellular systems. Initial single-cell genomic studies provided a remarkably rich phenomenology of heterogeneous cellular states, but transforming observational studies into models of dynamics and causal mechanisms in tissues poses fresh challenges and requires stronger integration of theoretical, computational and experimental frameworks. |
first_indexed | 2024-09-23T16:51:38Z |
format | Article |
id | mit-1721.1/116803 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T16:51:38Z |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | dspace |
spelling | mit-1721.1/1168032022-10-03T08:45:56Z Scaling single-cell genomics from phenomenology to mechanism Tanay, Amos Regev, Aviv Massachusetts Institute of Technology. Department of Biology Koch Institute for Integrative Cancer Research at MIT Regev, Aviv Three of the most fundamental questions in biology are how individual cells differentiate to form tissues, how tissues function in a coordinated and flexible fashion and which gene regulatory mechanisms support these processes. Single-cell genomics is opening up new ways to tackle these questions by combining the comprehensive nature of genomics with the microscopic resolution that is required to describe complex multicellular systems. Initial single-cell genomic studies provided a remarkably rich phenomenology of heterogeneous cellular states, but transforming observational studies into models of dynamics and causal mechanisms in tissues poses fresh challenges and requires stronger integration of theoretical, computational and experimental frameworks. 2018-07-05T18:28:28Z 2018-07-05T18:28:28Z 2017-01 2016-09 2018-07-02T18:59:27Z Article http://purl.org/eprint/type/JournalArticle 0028-0836 1476-4687 http://hdl.handle.net/1721.1/116803 Tanay, Amos and Aviv Regev. “Scaling Single-Cell Genomics from Phenomenology to Mechanism.” Nature 541, 7637 (January 2017): 331–338 © 2017 Macmillan Publishers Limited, part of Springer Nature https://orcid.org/0000-0001-8567-2049 http://dx.doi.org/10.1038/NATURE21350 Nature Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Nature Publishing Group PMC |
spellingShingle | Tanay, Amos Regev, Aviv Scaling single-cell genomics from phenomenology to mechanism |
title | Scaling single-cell genomics from phenomenology to mechanism |
title_full | Scaling single-cell genomics from phenomenology to mechanism |
title_fullStr | Scaling single-cell genomics from phenomenology to mechanism |
title_full_unstemmed | Scaling single-cell genomics from phenomenology to mechanism |
title_short | Scaling single-cell genomics from phenomenology to mechanism |
title_sort | scaling single cell genomics from phenomenology to mechanism |
url | http://hdl.handle.net/1721.1/116803 https://orcid.org/0000-0001-8567-2049 |
work_keys_str_mv | AT tanayamos scalingsinglecellgenomicsfromphenomenologytomechanism AT regevaviv scalingsinglecellgenomicsfromphenomenologytomechanism |