MedicineEurope PMC

Heuristic editor, no API keyVerdict: Routine

A high-confidence plant mitochondrial proteome via protein correlation profiling

Original title: A high-confidence plant mitochondrial proteome via protein correlation profiling.

Plant mitochondria share many features with animal mitochondria but also possess unique traits, including presence of both circular and linear mitochondrial DNA, RNA editing, a branched electron transport chain, and…

By Kim, Calvo, Nguyen +4Cell

Score█████░░░░░4.7

Key numbers

  • 15% of mitochondrial protein families

VerdictCompetent work. Briefs at most.

Read the original

Abstract

Plant mitochondria share many features with animal mitochondria but also possess unique traits, including presence of both circular and linear mitochondrial DNA, RNA editing, a branched electron transport chain, and metabolic pathways supporting photosynthesis. An accurate mitochondrial proteome is crucial for studying these conserved and lineage-specific functions. Here, we introduce a novel approach to defining plant mitoproteomes that combines serial mitochondrial enrichment, mass spectrometry, and protein correlation profiling. This approach allows us to experimentally define a mitochondrial protein inventory of 1,462 proteins with high sensitivity and specificity. Integration of our experimental inventory with literature and microscopy validation yields the Arabidopsisthaliana MitoCarta (AtMitoCarta) atlas of 1,609 mitochondrial proteins, including 236 newly defined proteins and 147 proteins of unknown functions. A comparative analysis across eukaryotic organisms reveals that 15% of mitochondrial protein families are plant specific, including expanded pentatricopeptide repeat proteins. The AtMitoCarta inventory and the experimental workflow applicable to wild-type plants will enable comparative studies of plant mitochondria.

Minsoo Kim, Sarah E Calvo, Khanh Nguyen, Keith D Rivera, Namrata D Udeshi, MitoCarta Tree of Life Consortium, Vamsi K Mootha

The editor's rubric

Heuristic review

DimensionLevelWeightWhat that level means
Leverage███░░ 310%A method or resource many groups across the field will adopt within a year.
Magnitude██░░░ 220%Solid incremental gain on a meaningful problem.
Evidence███░░ 332%Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty██░░░ 28%A new combination of known ideas.
Trajectory██░░░ 25%Some room to improve with obvious engineering.
Stakes██░░░ 225%Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we propose, new method). Red flags: derivative (comparative study).

How the score was computed

rank-2026-09-29

Score█████░░░░░4.7

Score = 10 × (80% × adjusted merit / 10 + 10% × attention + 10% × freshness)

Merit
4.8 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.3 / 10
Shrunk toward the desk prior by editor confidence (34%).
Attention
43%
Citations, upvotes, points, mentions.
Freshness
85%
Half-life decay since publication.
  • Citations3 (reference 20, via openalex, Oct 3, 2026, 05:48 UTC)
  • Field-weighted citation impact7.2 (reference 3, via openalex, Oct 3, 2026, 05:48 UTC)

The record

  • Reviewed by heuristic-v2 on Oct 3, 2026, 06:17 UTC. Paper type: method.
  • Categories: Journal Article, Mitochondria, Arabidopsis, Mitochondrial Proteins, Arabidopsis Proteins, Proteome, Proteomics, Pentatricopeptide Repeat, Calcium Uniporter, Protein Correlation Profiling
  • TOP, No.2 in the Biology edition of October 3, 2026.