Evidence map›Paper›PMID 31690058›Full record

ArticleBiomolecules2019

Transcriptome Mechanism of Utilizing Corn Steep Liquor as the Sole Nitrogen Resource for Lipid and DHA Biosynthesis in Marine Oleaginous Protist

Dong-Sheng Wang, Xin-Jun Yu, Xiao-Yu Zhu, Zhao Wang, Hui-Juan Li, Zhi-Peng Wang

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Lipid Production ofMicroorganisms · 2023
    Article
  4. Article
  5. 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 4 institutions in 1 country.

Dong-Sheng WangInstitute of Biological Resources, Jiangxi Academy of Sciences, Nanchang 330096, China. w_d_sh@126.com.
Xin-Jun YuKey Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, No.18, Chaowang Road, Hangzhou 310014, China. xjyu@zjut.edu.cn.
Xiao-Yu ZhuKey Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, No.18, Chaowang Road, Hangzhou 310014, China. xyzhu19@126.com.
Zhao WangKey Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, No.18, Chaowang Road, Hangzhou 310014, China. hzwz2019@163.com.
Hui-Juan LiDepartment of Bioengineering, College of Chemical and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China. lihuijuan611@126.com.
Zhi-Peng WangMarine Science and Engineering College, Qingdao Agricultural University, Qingdao 266109, China. wangzp@ysfri.ac.cn.
Qingdao Agricultural University · CNZhejiang University of Technology · CNJiangxi Academy of Sciences · CNShandong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, corn steep liquor (CSL) is evaluated as an ideal raw agro-material for efficient lipid and docosahexaenoic acid DHA production by

Indexed as

Culture MediaDocosahexaenoic AcidsEukaryotaGene Expression ProfilingLipidsNitrogenTranscription FactorsTranscriptomeZea maysCulture MediaDocosahexaenoic AcidsLipidsNitrogenTranscription FactorsAurantiochytrium sp.corn steep liquor (CSL)DHAnitrogen-deficiencyRNA-seqsignal transduction

Identifiers

PMID31690058
PMCPMC6920895
OpenAlexW2986345198

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.