Evidence map›Paper›PMID 30740142›Full record

ArticleBiotechnology for biofuels2019

Proteomic study uncovers molecular principles of single-cell-level phenotypic heterogeneity in lipid storage of

Chaoyun Chen, Andreas Harst, Wuxin You, Jian Xu, Kang Ning, Ansgar Poetsch

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biotechnology for biofuels, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors at 5 institutions in 3 countries.

Chaoyun Chen *1Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 Hubei China.
Andreas Harst *2Plant Biochemistry, Ruhr University Bochum, 44801 Bochum, Germany.
Wuxin You2Plant Biochemistry, Ruhr University Bochum, 44801 Bochum, Germany.
Jian Xu4Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 Shandong China.
Kang Ning1Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074 Hubei China.
Ansgar Poetsch2Plant Biochemistry, Ruhr University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-7540-3475
Huazhong University of Science and Technology · CNChinese Academy of Sciences · CNQingdao Institute of Bioenergy and Bioprocess Technology · CNRuhr University Bochum · DEUniversity of Plymouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsFor

conclusionsThis work illustrates for the first time the feasibility of combining FACS and (prote)-omics for mechanistic understanding of phenotypic heterogeneity in lipid-producing microalgae. Such combinatorial method can facilitate molecular breeding and design of bioprocesses.

Indexed as

Cell sortingLipid storageNannochloropsis oceanicaPhenotypic heterogeneityProteomicsSingle-cell

Identifiers

PMID30740142
PMCPMC6360718
OpenAlexW2920785118

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.