Evidence map›Paper›PMID 31835027›Full record

ReviewCell2019

Toward a Common Coordinate Framework for the Human Body.

Jennifer E Rood, Tim Stuart, Shila Ghazanfar, Tommaso Biancalani, Eyal Fisher, Andrew Butler, Anna Hupalowska, Leslie Gaffney, William Mauck, Gökçen Eraslan and 3 more

Abstract readReview
In one paragraph

Review in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Spatial architecture of development and disease.Nature reviews. Genetics · 2026
    Review
  7. An Interactive Brain Atlas of Knowledge.bioRxiv : the preprint server for biology · 2026
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jennifer E RoodKlarman Cell Observatory, Broad Institute, Cambridge, MA 02142, USA.
Tim StuartNew York Genome Center, New York, NY 10013, USA.
Shila GhazanfarCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Tommaso BiancalaniKlarman Cell Observatory, Broad Institute, Cambridge, MA 02142, USA.
Eyal FisherCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Andrew ButlerNew York Genome Center, New York, NY 10013, USA; New York University, Center for Genomics and Systems Biology, New York, NY 10012, USA.
Anna HupalowskaKlarman Cell Observatory, Broad Institute, Cambridge, MA 02142, USA.
Leslie GaffneyKlarman Cell Observatory, Broad Institute, Cambridge, MA 02142, USA.
William MauckNew York Genome Center, New York, NY 10013, USA; New York University, Center for Genomics and Systems Biology, New York, NY 10012, USA.
Gökçen EraslanKlarman Cell Observatory, Broad Institute, Cambridge, MA 02142, USA.
John C MarioniCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK. Electronic address: marioni@ebi.ac.uk.
Aviv RegevKlarman Cell Observatory, Broad Institute, Cambridge, MA 02142, USA; Howard Hughes Medical Institute and Koch Institute for Integrative Cancer Research, Department of Biology, MIT, Cambridge, MA 02142, USA. Electronic address: aregev@broadinstitute.org.
Rahul SatijaNew York Genome Center, New York, NY 10013, USA; New York University, Center for Genomics and Systems Biology, New York, NY 10012, USA. Electronic address: rsatija@nygenome.org.

Funding

Comprehensive Classification Of Neuronal Subtypes By Single Cell TranscriptomicsU01MH105960 · NIMH · HARVARD UNIVERSITY · PI REGEV, AVIV, SANES, JOSHUA R · 2014 to 2016
$4.5M
Comprehensive reference map construction, geolocation and data integration for HuBMAP HIVEOT2OD026673 · OD · NEW YORK GENOME CENTER · PI MARIONI, JOHN CARLO, SATIJA, RAHUL · 2018 to 2021
$2.9M
Learning the metadata of the cell with single cell genomicsDP2HG009623 · NHGRI · NEW YORK GENOME CENTER · PI SATIJA, RAHUL · 2016 to 2016
$2.8M
Cancer Research UK 22231Howard Hughes Medical InstituteNHGRI NIH HHS DP2 HG009623NIH HHS OT2 OD026673NIMH NIH HHS U01 MH105960Wellcome Trust
6 · The paper itself

Abstract

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.

Indexed as

Anatomic VariationDiagnostic ImagingHumansPhysical ExaminationReference Standards

Identifiers

PMID31835027
PMCPMC6934046

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.