Evidence map›Paper›PMID 34430814›Full record

ReviewiScience2021

A panoramic view of proteomics and multiomics in precision health.

Mara Zilocchi, Cheng Wang, Mohan Babu, Jingjing Li

Open access · goldAbstract readReview
In one paragraph

Review in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 3 institutions in 2 countries.

Mara ZilocchiDepartment of Biochemistry, University of Regina, Regina, Saskatchewan S4S 0A2, Canada.
Cheng WangThe Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, the Bakar Computational Health Sciences Institute, the Parker Institute for Cancer Immunotherapy, and the Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA.
Mohan BabuDepartment of Biochemistry, University of Regina, Regina, Saskatchewan S4S 0A2, Canada.
Jingjing LiThe Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, the Bakar Computational Health Sciences Institute, the Parker Institute for Cancer Immunotherapy, and the Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA.
University of Regina · CABroad Center · USUniversity of California, San Francisco · US

Funding

Supplement to: PHYSICAL AND FUNCTIONAL SYSTEMS ANALYSIS OF MAMMALIAN MITOCHONDRIAR01GM106019 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BABU, MOHAN, NUNNARI, JODI M. · 2013 to 2016
$954k
NIGMS NIH HHS R01 GM106019
6 · The paper itself

Abstract

Health is often qualitatively defined as a status free from disease and its quantitative definition requires finding the boundary separating health from pathological conditions. Since many complex diseases have a strong genetic component, substantial efforts have been made to sequence large-scale personal genomes; however, we are not yet able to effectively quantify health status from personal genomes. Since mutational impacts are ultimately manifested at the protein level, we envision that introducing a panoramic proteomic view of complex diseases will allow us to mechanistically understand the molecular etiologies of human diseases. In this

Indexed as

GenomicsMachine learningProteomicsSystems biology

Identifiers

PMID34430814
PMCPMC8365387
OpenAlexW3188520353

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.