Evidence map›Paper›PMID 24692656›Full record

ArticleMolecular biology and evolution2014

The evolution of human cells in terms of protein innovation.

Adam J Sardar, Matt E Oates, Hai Fang, Alistair R R Forrest, Hideya Kawaji, FANTOM Consortium, Julian Gough, Owen J L Rackham

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Paradigm shifts in genomics through the FANTOM projects.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  6. Article
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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

8 authors at 4 institutions in 2 countries.

Adam J SardarDepartment of Computer Science, University of Bristol, Bristol, United KingdomBristol Centre for Complexity Sciences, University of Bristol, Bristol, United Kingdom.
Matt E OatesDepartment of Computer Science, University of Bristol, Bristol, United KingdomBristol Centre for Complexity Sciences, University of Bristol, Bristol, United Kingdom.
Hai FangDepartment of Computer Science, University of Bristol, Bristol, United Kingdom.
Alistair R R ForrestRIKEN Omics Science Center, Yokohama, Kanagawa, JapanDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Kanagawa, Japan.
Hideya KawajiRIKEN Omics Science Center, Yokohama, Kanagawa, JapanDivision of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Kanagawa, JapanRIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Saitama, Japan.
FANTOM Consortium
Julian GoughDepartment of Computer Science, University of Bristol, Bristol, United Kingdom.
Owen J L RackhamDepartment of Computer Science, University of Bristol, Bristol, United KingdomMedical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom owen.rackham@imperial.ac.uk.
University of Bristol · GBImperial College London · GBRIKEN · JPRIKEN Center for Integrative Medical Sciences · JP

Funding

Biotechnology and Biological Sciences Research Council BB/ G022771/1Biotechnology and Biological Sciences Research Council BB/G022771/1
6 · The paper itself

Abstract

Humans are composed of hundreds of cell types. As the genomic DNA of each somatic cell is identical, cell type is determined by what is expressed and when. Until recently, little has been reported about the determinants of human cell identity, particularly from the joint perspective of gene evolution and expression. Here, we chart the evolutionary past of all documented human cell types via the collective histories of proteins, the principal product of gene expression. FANTOM5 data provide cell-type-specific digital expression of human protein-coding genes and the SUPERFAMILY resource is used to provide protein domain annotation. The evolutionary epoch in which each protein was created is inferred by comparison with domain annotation of all other completely sequenced genomes. Studying the distribution across epochs of genes expressed in each cell type reveals insights into human cellular evolution in terms of protein innovation. For each cell type, its history of protein innovation is charted based on the genes it expresses. Combining the histories of all cell types enables us to create a timeline of cell evolution. This timeline identifies the possibility that our common ancestor Coelomata (cavity-forming animals) provided the innovation required for the innate immune system, whereas cells which now form the brain of human have followed a trajectory of continually accumulating novel proteins since Opisthokonta (boundary of animals and fungi). We conclude that exaptation of existing domain architectures into new contexts is the dominant source of cell-type-specific domain architectures.

Indexed as

Evolution, MolecularPhylogenyEukaryotic CellsHumansImmunity, InnateProteinsProtein Structure, TertiarySequence Analysis, ProteinTranscriptomeProteinsCAGEevolutionprotein domainstranscriptome

Identifiers

PMID24692656
PMCPMC4032124
OpenAlexW2123638624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.