Evidence mapPaperPMID 40200947Full record

ReviewJournal of biological methods2025

Lipidomics and temporal-spatial distribution of organelle lipid.

Wenjuan Qian, Huiru Tang, Hongyan Yao

Abstract readReview
In one paragraph

Review in Journal of biological methods, 2025. 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
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

3 citing papers in PubMed.

  1. Article
  2. The Inner Nuclear Membrane Has a Unique Lipid Signature.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  3. Article
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

3 authors.

Wenjuan QianState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Huiru TangState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Hongyan YaoState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lipids are crucial signaling molecules or cellular membrane components orchestrating biological processes. To gain insights into lipid functions and the communication between organelles, it is essential to understand the subcellular localization of individual lipids. Advancements in lipid quantification techniques, improvements in chemical and spatial resolution for detecting various lipid species, and enhancements in organelle isolation speed have allowed for profiling of the organelle lipidome, capturing its temporal-spatial distribution. Objective: This review examined approaches used to develop organelle lipidome and aimed to gain insights into cellular lipid homeostasis from an organelle perspective. In addition, this review discussed the advancements in lipid-mediated inter-organelle communication within complex physiological and pathological processes. Conclusion: With the advancement of lipidomic technologies, more detailed explorations of organelle structures and the specific lipid-mediating functions they perform are feasible.

Indexed as

Cellular lipid homeostasisInter-organelle communicationLipidomicsOrganelle isolationOrganelle lipid distribution

Identifiers

PMID40200947
PMCPMC11973048

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.