Evidence map›Paper›PMID 32580392›Full record

ArticleCells2020

In-Depth Investigation of Low-Abundance Proteins in Matured and Filling Stages Seeds of

Cheol Woo Min, Joonho Park, Jin Woo Bae, Ganesh Kumar Agrawal, Randeep Rakwal, Youngsoo Kim, Pingfang Yang, Sun Tae Kim, Ravi Gupta

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 6% 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, 23 citations in OpenAlex.

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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

9 authors at 6 institutions in 4 countries.

Cheol Woo MinDepartment of Plant Bioscience, Pusan National University, Miryang 50463, Korea.ORCID 0000-0001-5966-6315
Joonho ParkInterdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul 03080, Korea.
Jin Woo BaeNational Institute of Crop Science, Rural Development Administration, Wanju 55365, Korea.
Ganesh Kumar AgrawalResearch Laboratory for Biotechnology and Biochemistry (RLABB), GPO 13265, Kathmandu 44600, Nepal.
Randeep RakwalResearch Laboratory for Biotechnology and Biochemistry (RLABB), GPO 13265, Kathmandu 44600, Nepal.ORCID 0000-0003-0559-8577
Youngsoo KimInterdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul 03080, Korea.
Pingfang YangKey Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China.
Sun Tae KimDepartment of Plant Bioscience, Pusan National University, Miryang 50463, Korea.ORCID 0000-0002-3853-1419
Ravi GuptaDepartment of Plant Bioscience, Pusan National University, Miryang 50463, Korea.ORCID 0000-0001-5242-9528
Pusan National University · KRSeoul National University · KRChinese Academy of Sciences · CNJamia Hamdard · INRural Development Administration · KRUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the significant technical advancements in mass spectrometry-based proteomics and bioinformatics resources, dynamic resolution of soybean seed proteome is still limited because of the high abundance of seed storage proteins (SSPs). These SSPs occupy a large proportion of the total seed protein and hinder the identification of low-abundance proteins. Here, we report a TMT-based quantitative proteome analysis of matured and filling stages seeds of high-protein (Saedanbaek) and low-protein (Daewon) soybean cultivars by application of a two-way pre-fractionation both at the levels of proteins (by PS) and peptides (by basic pH reverse phase chromatography). Interestingly, this approach led to the identification of more than 5900 proteins which is the highest number of proteins reported to date from soybean seeds. Comparative protein profiles of Saedanbaek and Daewon led to the identification of 2200 and 924 differential proteins in mature and filling stages seeds, respectively. Functional annotation of the differential proteins revealed enrichment of proteins related to major metabolism including amino acid, major carbohydrate, and lipid metabolism. In parallel, analysis of free amino acids and fatty acids in the filling stages showed higher contents of all the amino acids in the Saedanbaek while the fatty acids contents were found to be higher in the Daewon. Taken together, these results provide new insights into proteome changes during filling stages in soybean seeds. Moreover, results reported here also provide a framework for systemic and large-scale dissection of seed proteome for the seeds rich in SSPs by two-way pre-fractionation combined with TMT-based quantitative proteome analysis.

Indexed as

Fatty AcidsGlycine maxHumansPlant ProteinsProtaminesProteomicsSeedsFatty AcidsPlant ProteinsProtaminesbasic pH reverse phasefilter-aided sample preparationlow-abundance proteinsmaxquantperseusprotamine sulfate precipitationsoybeantandem mass tags

Identifiers

PMID32580392
PMCPMC7349688
OpenAlexW3036006860

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.