Evidence map›Paper›PMID 33208737›Full record

ArticleNature communications2020

High-dimensional super-resolution imaging reveals heterogeneity and dynamics of subcellular lipid membranes.

Karl Zhanghao, Wenhui Liu, Meiqi Li, Zihan Wu, Xiao Wang, Xingye Chen, Chunyan Shan, Haoqian Wang, Xiaowei Chen, Qionghai Dai and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 112 citations in OpenAlex.

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  13. MITD1 is a brain-specific interferon-inducible factor that inhibits flavivirus replication.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

12 authors at 4 institutions in 2 countries.

Karl Zhanghao *UTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, P.R. China. karl.hao.zhang@gmail.com.ORCID http://orcid.org/0000-0002-8331-6240
Wenhui Liu *Department of Automation, Tsinghua University, 100084, Beijing, China.
Meiqi Li *Department of Biomedical Engineering, College of Engineering, Peking University, 100871, Beijing, China.ORCID http://orcid.org/0000-0003-3586-176X
Zihan WuUTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, P.R. China.
Xiao WangState Key Laboratory of Biomembrane and Membrane Biotechnology, College of Life Sciences, Peking University, 100871, Beijing, China.
Xingye ChenDepartment of Automation, Tsinghua University, 100084, Beijing, China.
Chunyan ShanState Key Laboratory of Biomembrane and Membrane Biotechnology, College of Life Sciences, Peking University, 100871, Beijing, China.ORCID http://orcid.org/0000-0002-5532-2811
Haoqian WangDepartment of Automation, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0003-2792-8469
Xiaowei ChenState Key Laboratory of Biomembrane and Membrane Biotechnology, College of Life Sciences, Peking University, 100871, Beijing, China.
Qionghai DaiDepartment of Automation, Tsinghua University, 100084, Beijing, China.
Peng XiUTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, P.R. China. xipeng@pku.edu.cn.ORCID http://orcid.org/0000-0001-6626-4840
Dayong JinUTS-SUStech Joint Research Centre for Biomedical Materials & Devices, Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, P.R. China. jindy@sustech.edu.cn.ORCID http://orcid.org/0000-0003-1046-2666
Peking University · CNTsinghua University · CNSouthern University of Science and Technology · CNUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid membranes are found in most intracellular organelles, and their heterogeneities play an essential role in regulating the organelles' biochemical functionalities. Here we report a Spectrum and Polarization Optical Tomography (SPOT) technique to study the subcellular lipidomics in live cells. Simply using one dye that universally stains the lipid membranes, SPOT can simultaneously resolve the membrane morphology, polarity, and phase from the three optical-dimensions of intensity, spectrum, and polarization, respectively. These high-throughput optical properties reveal lipid heterogeneities of ten subcellular compartments, at different developmental stages, and even within the same organelle. Furthermore, we obtain real-time monitoring of the multi-organelle interactive activities of cell division and successfully reveal their sophisticated lipid dynamics during the plasma membrane separation, tunneling nanotubules formation, and mitochondrial cristae dissociation. This work suggests research frontiers in correlating single-cell super-resolution lipidomics with multiplexed imaging of organelle interactome.

Indexed as

Cell Line, TumorCell MembraneHumansLipidomicsMembrane LipidsMitochondriaTomographyMembrane Lipids

Identifiers

PMID33208737
PMCPMC7674432
OpenAlexW3102407692

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.