Evidence map›Paper›PMID 28063063›Full record

ArticleStem cell reviews and reports2017

Identifying Candidate Reprogramming Genes in Mouse Induced Pluripotent Stem Cells.

Fang Gao, Jingyu Li, Heng Zhang, Xu Yang, Tiezhu An

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Article in Stem cell reviews and reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

5 authors.

Fang GaoCollege of Life Science, Northeast Forestry University, Harbin, China, 150040.
Jingyu LiCollege of Life Science, Northeast Agricultural University, Harbin, China, 150030.
Heng ZhangCollege of Life Science, Northeast Agricultural University, Harbin, China, 150030.
Xu YangCollege of Life Science, Northeast Agricultural University, Harbin, China, 150030.
Tiezhu AnCollege of Life Science, Northeast Forestry University, Harbin, China, 150040. antiezhu@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Factor-based induced reprogramming approaches have tremendous potential for human regenerative medicine, but the efficiencies of these approaches are still low. In this study, we analyzed the global transcriptional profiles of mouse induced pluripotent stem cells (miPSCs) and mouse embryonic stem cells (mESCs) from seven different labs and present here the first successful clustering according to cell type, not by lab of origin. We identified 2131 different expression genes (DEs) as candidate pluripotency-associated genes by comparing mESCs/miPSCs with somatic cells and 720 DEs between miPSCs and mESCs. Interestingly, there was a significant overlap between the two DE sets. Therefore, we defined the overlap DEs as "consensus DEs" including 313 miPSC-specific genes expressed at a higher level in miPSCs versus mESCs and 184 mESC-specific genes in total and reasoned that these may contribute to the differences in pluripotency between mESCs and miPSCs. A classification of "consensus DEs" according to their different expression levels between somatic cells and mESCs/miPSCs shows that 86% of the miPSC-specific genes are more highly expressed in somatic cells, while 73% of mESC-specific genes are highly expressed in mESCs/miPSCs, indicating that the miPSCs have not efficiently silenced the expression pattern of the somatic cells from which they are derived and failed to completely induce the genes with high expression levels in mESCs. We further revealed a strong correlation between oocyte-enriched factors and insufficiently induced mESC-specific genes and identified 11 hub genes via network analysis. In light of these findings, we postulated that these key hub genes might not only drive somatic cell nuclear transfer (SCNT) reprogramming but also augment the efficiency and quality of miPSC reprogramming.

Indexed as

Cellular ReprogrammingGene Expression RegulationAnimalsInduced Pluripotent Stem CellsMiceMouse Embryonic Stem CellsMouse embryonic stem cellsMouse induced pluripotent stem cellsOocyte-enrich factorsReprogrammingTranscriptome

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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.