Evidence map›Paper›PMID 33521598›Full record

ReviewiScience2021

From fuzziness to precision medicine: on the rapidly evolving proteomics with implications in mitochondrial connectivity to rare human disease.

Khaled A Aly, Mohamed Taha Moutaoufik, Sadhna Phanse, Qingzhou Zhang, Mohan Babu

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Khaled A AlyDepartment of Biochemistry, University of Regina, Regina, SK, Canada.
Mohamed Taha MoutaoufikDepartment of Biochemistry, University of Regina, Regina, SK, Canada.
Sadhna PhanseDepartment of Biochemistry, University of Regina, Regina, SK, Canada.
Qingzhou ZhangDepartment of Biochemistry, University of Regina, Regina, SK, Canada.
Mohan BabuDepartment of Biochemistry, University of Regina, Regina, SK, Canada.
University of Regina · CA

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

Mitochondrial (mt) dysfunction is linked to rare diseases (RDs) such as respiratory chain complex (RCC) deficiency, MELAS, and ARSACS. Yet, how altered mt protein networks contribute to these ailments remains understudied. In this perspective article, we identified 21 mt proteins from public repositories that associate with RCC deficiency, MELAS, or ARSACS, engaging in a relatively small number of protein-protein interactions (PPIs), underscoring the need for advanced proteomic and interactomic platforms to uncover the complete scope of mt connectivity to RDs. Accordingly, we discuss innovative untargeted label-free proteomics in identifying RD-specific mt or other macromolecular assemblies and mapping of protein networks in complex tissue, organoid, and stem cell-differentiated neurons. Furthermore, tag- and label-based proteomics, genealogical proteomics, and combinatorial affinity purification-mass spectrometry, along with advancements in detecting and integrating transient PPIs with single-cell proteomics and transcriptomics, collectively offer seminal follow-ups to enrich for RD-relevant networks, with implications in RD precision medicine.

Indexed as

Complex SystemsDiseaseProteomicsSystems Biology

Identifiers

PMID33521598
PMCPMC7820543
OpenAlexW3120654308

What OpenQuestion 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 OpenQuestion graph.