Evidence map›Paper›PMID 31402174›Full record

ArticleCell2019

Large-Scale Analyses of Human Microbiomes Reveal Thousands of Small, Novel Genes.

Hila Sberro, Brayon J Fremin, Soumaya Zlitni, Fredrik Edfors, Nicholas Greenfield, Michael P Snyder, Georgios A Pavlopoulos, Nikos C Kyrpides, Ami S Bhatt

Abstract read
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed
–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

147 citing papers in PubMed.

  1. Trial
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  6. The diverse functions of viral microproteins.bioRxiv : the preprint server for biology · 2026
    Article
  7. Review
  8. Article
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  12. Article
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  16. Article
  17. Review
  18. Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025
    Review
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hila SberroDepartment of Medicine (Hematology; Blood and Marrow Transplantation) and Genetics, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA.
Brayon J FreminDepartment of Medicine (Hematology; Blood and Marrow Transplantation) and Genetics, Stanford University, Stanford, CA, USA.
Soumaya ZlitniDepartment of Medicine (Hematology; Blood and Marrow Transplantation) and Genetics, Stanford University, Stanford, CA, USA.
Fredrik EdforsDepartment of Genetics, Stanford University, Stanford, CA, USA.
Nicholas GreenfieldOne Codex, San Francisco, CA, USA.
Michael P SnyderDepartment of Genetics, Stanford University, Stanford, CA, USA.
Georgios A PavlopoulosDepartment of Energy, Joint Genome Institute, Walnut Creek, CA, USA; Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center Alexander Fleming, Vari, Greece.
Nikos C KyrpidesDepartment of Energy, Joint Genome Institute, Walnut Creek, CA, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Ami S BhattDepartment of Medicine (Hematology; Blood and Marrow Transplantation) and Genetics, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA. Electronic address: asbhatt@stanford.edu.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
COMPUTATIONAL METHODS FOR PROTEOMIC ANALYSISK22HG000044 · NHGRI · UNIVERSITY OF UTAH · PI GIDDINGS, MORGAN CORINNE · 2000 to 2005
$1.3M
Computational appliance: a supercomputer for modern biomedical researchS10OD023452 · OD · STANFORD UNIVERSITY · PI DATTA, SOMALEE · 2017 to 2017
$600k
Sequence-based pathogen discovery in post-stem cell transplantation syndromesK08CA184420 · NCI · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2014 to 2017
$524k
NCI NIH HHS K08 CA184420NCI NIH HHS P30 CA124435NHGRI NIH HHS K22 HG000044NHGRI NIH HHS T32 HG000044NIH HHS S10 OD023452
6 · The paper itself

Abstract

Small proteins are traditionally overlooked due to computational and experimental difficulties in detecting them. To systematically identify small proteins, we carried out a comparative genomics study on 1,773 human-associated metagenomes from four different body sites. We describe >4,000 conserved protein families, the majority of which are novel; ∼30% of these protein families are predicted to be secreted or transmembrane. Over 90% of the small protein families have no known domain and almost half are not represented in reference genomes. We identify putative housekeeping, mammalian-specific, defense-related, and protein families that are likely to be horizontally transferred. We provide evidence of transcription and translation for a subset of these families. Our study suggests that small proteins are highly abundant and those of the human microbiome, in particular, may perform diverse functions that have not been previously reported.

Indexed as

MicrobiotaAmino Acid SequenceCell CommunicationHost-Pathogen InteractionsHumansMetagenomeOpen Reading FramesProteinsRibosomal ProteinsSequence AlignmentProteinsRibosomal Proteinsannotationbacteriabioinformaticsdomaingenomemicrobemicrobiomephagepredictionsmall open reading framesmall proteins

Identifiers

PMID31402174
PMCPMC6764417

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.