Evidence map›Paper›PMID 39006032›Full record

ArticlePeerJ2024

Integrative analysis of the transcriptome and metabolome provides insights into polysaccharide accumulation in

Gen Pan, Jian Jin, Hao Liu, Can Zhong, Jing Xie, Yuhui Qin, Shuihan Zhang

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

7 authors.

Gen PanInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha, Hunan, China.
Jian JinInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha, Hunan, China.
Hao LiuInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha, Hunan, China.
Can ZhongInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha, Hunan, China.
Jing XieInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha, Hunan, China.
Yuhui QinColleges of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Shuihan ZhangInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha, Hunan, China.

Funding

Hunan Traditional Chinese Medicine Research ProjectNatural Science Foundation of Hunan Province-China
6 · The paper itself

Abstract

Background: Methods: To better understand the regulatory mechanisms of polysaccharide accumulation in Results: A total of 14,194 differentially expressed genes (DEGs) were identified, of which 6,689 DEGs were down-regulated in 'Y10' compared with those in 'Y11'. KEGG enrichment analysis of the down-regulated DEGs revealed a significant enrichment of 'starch and sucrose metabolism', and 'amino sugar and nucleotide sugar metabolism'. Meanwhile, 80 differentially accumulated metabolites (DAMs) were detected, of which 52 were significantly up-regulated in 'Y11' compared to those in 'Y10'. The up-regulated DAMs were significantly enriched in 'tropane, piperidine and pyridine alkaloid biosynthesis', 'pentose phosphate pathway' and 'ABC transporters'. The integrated metabolomic and transcriptomic analysis have revealed that four DAMs, glucose, beta-D-fructose 6-phosphate, maltose and 3-beta-D-galactosyl-sn-glycerol were significantly enriched for polysaccharide accumulation, which may be regulated by 17 DEGs, including UTP-glucose-1-phosphate uridylyltransferase (

Indexed as

MetabolomePolygonatumPolysaccharidesRhizomeTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantPolysaccharidesMetabolomePolygonatum Odoratum (Mill.) DrucePolysaccharide accumulationTranscriptome

Identifiers

PMID39006032
PMCPMC11243984

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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.