Toward a Common Coordinate Framework for the Human Body
Understanding the genetic and molecular drivers of phenotypic heterogeneity across individuals is central to biology. As new technologies enable fine-grained and spatially resolved molecular profiling, we need new computational approaches to integrate data from the same organ across different indivi...
Main Author: | |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2021
|
Online Access: | https://hdl.handle.net/1721.1/129474 |
_version_ | 1826197597883203584 |
---|---|
author | Regev, Aviv |
author2 | Massachusetts Institute of Technology. Department of Biology |
author_facet | Massachusetts Institute of Technology. Department of Biology Regev, Aviv |
author_sort | Regev, Aviv |
collection | MIT |
description | Understanding the genetic and molecular drivers of phenotypic heterogeneity across individuals is central to biology. As new technologies enable fine-grained and spatially resolved molecular profiling, we need new computational approaches to integrate data from the same organ across different individuals into a consistent reference and to construct maps of molecular and cellular organization at histological and anatomical scales. Here, we review previous efforts and discuss challenges involved in establishing such a common coordinate framework, the underlying map of tissues and organs. We focus on strategies to handle anatomical variation across individuals and highlight the need for new technologies and analytical methods spanning multiple hierarchical scales of spatial resolution. |
first_indexed | 2024-09-23T10:50:04Z |
format | Article |
id | mit-1721.1/129474 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T10:50:04Z |
publishDate | 2021 |
publisher | Elsevier BV |
record_format | dspace |
spelling | mit-1721.1/1294742022-09-27T15:22:26Z Toward a Common Coordinate Framework for the Human Body Regev, Aviv Massachusetts Institute of Technology. Department of Biology Understanding the genetic and molecular drivers of phenotypic heterogeneity across individuals is central to biology. As new technologies enable fine-grained and spatially resolved molecular profiling, we need new computational approaches to integrate data from the same organ across different individuals into a consistent reference and to construct maps of molecular and cellular organization at histological and anatomical scales. Here, we review previous efforts and discuss challenges involved in establishing such a common coordinate framework, the underlying map of tissues and organs. We focus on strategies to handle anatomical variation across individuals and highlight the need for new technologies and analytical methods spanning multiple hierarchical scales of spatial resolution. National Institutes of Health (U.S.). The Human BioMolecular Atlas Program (Grant NIH 1OT2OD026673- 01) National Institutes of Health (U.S.). New Innovator Award (1DP2HG009623- 01) Chan Zuckerberg Initiative (Grant HCA2-A-1708-02755) 2021-01-20T18:23:08Z 2021-01-20T18:23:08Z 2019-12 2020-12-16T16:11:03Z Article http://purl.org/eprint/type/JournalArticle 0092-8674 https://hdl.handle.net/1721.1/129474 Rood, Jennifer E. et al. “Toward a Common Coordinate Framework for the Human Body.” Cell, 179, 7 (December 2019): 1455–1467 © 2019 The Author(s) en 10.1016/J.CELL.2019.11.019 Cell Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV PMC |
spellingShingle | Regev, Aviv Toward a Common Coordinate Framework for the Human Body |
title | Toward a Common Coordinate Framework for the Human Body |
title_full | Toward a Common Coordinate Framework for the Human Body |
title_fullStr | Toward a Common Coordinate Framework for the Human Body |
title_full_unstemmed | Toward a Common Coordinate Framework for the Human Body |
title_short | Toward a Common Coordinate Framework for the Human Body |
title_sort | toward a common coordinate framework for the human body |
url | https://hdl.handle.net/1721.1/129474 |
work_keys_str_mv | AT regevaviv towardacommoncoordinateframeworkforthehumanbody |