Evidence map›Paper›PMID 40974057›Full record

ReviewGenomics, proteomics & bioinformatics2026

Single-cell Omics Assessment of Mitochondrial Function: Current Status and Future Perspectives.

Xu Zhang 张旭, Peng An 安鹏, Zhengyang Zhang 张正阳, Yanling Hao 郝彦玲, Xiaoxian Guo 郭晓贤, Yinhua Zhu 朱银华, Zhenglong Gu 顾正龙, Yongting Luo 罗永挺, Junjie Luo 罗俊杰

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xu Zhang 张旭Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-3274-3787
Peng An 安鹏Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-0421-0035
Zhengyang Zhang 张正阳Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-5172-1575
Yanling Hao 郝彦玲Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-2562-6849
Xiaoxian Guo 郭晓贤Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.ORCID 0000-0003-4073-4095
Yinhua Zhu 朱银华Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0009-0002-2803-3579
Zhenglong Gu 顾正龙Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou 511400, China.ORCID 0000-0002-7733-432X
Yongting Luo 罗永挺Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-7834-8742
Junjie Luo 罗俊杰Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8987-0533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, significant advancements in single-cell omics technologies have offered new insights into the study of mitochondria. These technologies are particularly suitable for investigating mitochondria due to their capacity to address both intracellular and intercellular heterogeneity. In this review, we categorize the mitochondrial dysfunction and variability identified in both pathological and physiological contexts through single-cell omics assessments. We examine the cutting-edge single-cell omics technologies and trace the evolution of studies on mitochondria, highlighting the transition from low-throughput to high-throughput capabilities and from single data types to the integration of multiple genomic and phenomic profiles. Furthermore, we emphasize the applications of single-cell mitochondrial assessment methods in exploring disease mechanisms, screening, and prevention, as well as their potential impacts on lineage tracing, drug discovery, and genetic counseling. Insights gained from single-cell technologies may lead to the development of novel therapeutic strategies, offering promising avenues for addressing diseases associated with mitochondrial dysfunction. Lastly, we identify the limitations of current methodologies and propose areas of focus for future research.

Indexed as

GenomicsMitochondriaSingle-Cell AnalysisAnimalsHumansMitochondrial DiseasesMultiomicsProteomicsHeterogeneityMitochondrionOmicsPathogenic mechanismSingle-cell

Identifiers

PMID40974057
PMCPMC13457086

What OpenQuestion holds

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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.