Evidence map›Paper›PMID 31412047›Full record

ArticlePloS one2019

Transcriptomic profile of early zebrafish PGCs by single cell sequencing.

Xiaoyuan Zhang, Xintian Li, Ronghong Li, Yunbin Zhang, Yiping Li, Shifeng Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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    Review
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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

6 authors at 1 institution in 1 country.

Xiaoyuan ZhangState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0001-5130-9495
Xintian LiState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Ronghong LiState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Yunbin ZhangState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Yiping LiState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Shifeng LiState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Center for Excellence in Molecular Cell Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell RNA-seq is a powerful and sensitive way to capture the genome-wide gene expression. Here, single cell RNA-seq was utilized to study the transcriptomic profile of early zebrafish PGCs (primordial germ cells) at three different developmental stages. The three stages were 6, 11 and 24 hpf (hours post fertilization). For each developmental stage, three zebrafish PGCs from one embryo were collected, and 9 samples in total were used in this experiment. Single cell RNA-seq results showed that 5099-7376 genes were detected among the 9 samples, and the number of expressed genes decreased as development progressed. Based on the gene expression pattern, samples from 6 and 11 hpf clustered closely, while samples from 24 hpf were more dispersed. By WGCNA (weighted gene co-expression network analysis), the two biggest modules that had inverse gene expression patterns were found to be related to PGC formation or migration. Functional enrichment analysis for these two modules showed that PGCs mainly conducted migration and cell division in early development (6/11 hpf) and translation activity became active in late development (24 hpf). Differentially expressed gene analyses showed that more genes were downregulated than upregulated between two adjacent stages, and genes related to PGC formation or migration reported by previous studies decreased significantly from 11 to 24 hpf. Our results provide base knowledge about zebrafish PGC development at the single cell level and can be further studied by other researchers interested in biological development.

Indexed as

Gene Expression Regulation, DevelopmentalTranscriptomeAnimalsEmbryo, NonmammalianGene Expression ProfilingGerm CellsSingle-Cell AnalysisZebrafishZebrafish ProteinsZebrafish Proteins

Identifiers

PMID31412047
PMCPMC6693734
OpenAlexW2967302007

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.