Evidence map›Paper›PMID 35929833›Full record

ArticleThe Journal of cell biology2022

DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging.

Liqing Liu, Shuxin Yang, Yang Liu, Xixia Li, Junjie Hu, Li Xiao, Tao Xu

Open access · hybridAbstract read
In one paragraph

Article in The Journal of cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Stay in touch with the endoplasmic reticulum.Science China. Life sciences · 2024
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Imaging and proteomics toolkits for studying organelle contact sites.Frontiers in cell and developmental biology · 2024
    Review
  12. Article
  13. MCS Ultrastructural Analyses Using Electron Microscopy.Contact (Thousand Oaks (Ventura County, Calif.))
    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

7 authors at 1 institution in 1 country.

Liqing Liu *National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-2701-0535
Shuxin Yang *Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-6061-1351
Yang LiuKey Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Xixia LiCenter for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-0638-3167
Junjie HuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-4712-2243
Li XiaoKey Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-3063-0869
Tao XuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-8260-9754
Chinese Academy of Sciences · CN

Funding

CCF-Tencent Open FundChinese Academy of Sciences XDB39000000National Key Research and Development Program of China 2017YFA0504702National Natural Science Foundation of China 31700748
6 · The paper itself

Abstract

Membrane contact site (MCS)-mediated organelle interactions play essential roles in the cell. Quantitative analysis of MCSs reveals vital clues for cellular responses under various physiological and pathological conditions. However, an efficient tool is lacking. Here, we developed DeepContact, a deep-learning protocol for optimizing organelle segmentation and contact analysis based on label-free EM. DeepContact presents high efficiency and flexibility in interactive visualizations, accommodating new morphologies of organelles and recognizing contacts in versatile width ranges, which enables statistical analysis of various types of MCSs in multiple systems. DeepContact profiled previously unidentified coordinative rearrangements of MCS types in cultured cells with combined nutritional conditions. DeepContact also unveiled a subtle wave of ER-mitochondrial entanglement in Sertoli cells during the seminiferous epithelial cycle, indicating its potential in bridging MCS dynamics to physiological and pathological processes.

Indexed as

Cell MembraneDeep LearningEndoplasmic ReticulumMicroscopy, ElectronMitochondriaCells, CulturedMitochondrial Membranes

Identifiers

PMID35929833
PMCPMC9361564
OpenAlexW4289995185

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.