Evidence map›Paper›PMID 32843898›Full record

ArticleBiotechnology for biofuels2020

Integrative transcriptome and proteome analyses provide new insights into different stages of

Juan Niu, Yaliang Shi, Kunyong Huang, Yicheng Zhong, Jing Chen, Zhimin Sun, Mingbao Luan, Jianhua Chen

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
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  8. Genome-wide analysis of AP2/ERF family inFrontiers in plant science · 2025
    Article
  9. Article
  10. Deciphering the Genetic and Biochemical Drivers of Fruit Cracking inInternational journal of molecular sciences · 2024
    Article
  11. Article
  12. Conservative mechanism through various rapeseed (Frontiers in plant science · 2024
    Article
  13. Article
  14. Integrative Metabolomic and Transcriptomic Landscape duringInternational journal of molecular sciences · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
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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

8 authors at 2 institutions in 1 country.

Juan NiuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Yaliang ShiInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Kunyong HuangInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Yicheng ZhongInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Jing ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Zhimin SunInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Mingbao LuanInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Jianhua ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Xianjiahu West Road, Changsha, 410205 Hunan Province People's Republic of China.
Institute of Bast Fiber Crops · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsIn this study, by observing the cell wall structure of the pericarp, we found that the cell wall became thinner and looser and showed substantial breakdown in the pericarp of cracking fruit compared with that in non-cracking fruit. Moreover, integrative analyses of transcriptome and proteome profiles at different stages of fruit ripening demonstrated changes in the expression of various genes and proteins after cracking. Furthermore, the mRNA levels of 20 differentially expressed genes were analyzed, and parallel reaction monitoring analysis of 20 differentially expressed proteins involved in cell wall metabolism was conducted. Among the molecular targets, pectate lyases and pectinesterase, which are involved in pentose and glucuronate interconversion, and β-galactosidase 2, which is involved in galactose metabolism, were significantly upregulated in cracking fruits than in non-cracking fruits. This suggested that they might play crucial roles in

conclusionsOur findings provided new insights into potential genes influencing the fruit cracking trait in

Indexed as

Akebia trifoliataFruit crackingGalactose metabolismPentose and glucuronate interconversionsPericarp structureProteomeTranscriptome

Identifiers

PMID32843898
PMCPMC7441727
OpenAlexW3055498662

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.