Evidence map›Paper›PMID 29622030›Full record

ArticleGenome biology2018

Mapping human pluripotent stem cell differentiation pathways using high throughput single-cell RNA-sequencing.

Xiaoping Han, Haide Chen, Daosheng Huang, Huidong Chen, Lijiang Fei, Chen Cheng, He Huang, Guo-Cheng Yuan, Guoji Guo

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

74 citing papers in PubMed, 122 citations in OpenAlex.

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  13. Characterizing the Cellular Constituents of Proximal Airway Disease in Granulomatosis With Polyangiitis.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025
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  15. Pluripotent cells derived from 50% epiboly zebrafish embryos.In vitro cellular & developmental biology. Animal · 2025
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14 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Xiaoping HanCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Haide ChenCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China. hyde@zju.edu.cn.
Daosheng HuangCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Huidong ChenDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard Chan School of Public Health, Boston, MA, 02115, USA.
Lijiang FeiCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Chen ChengCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
He HuangInstitute of Hematology, The 1st Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Guo-Cheng YuanDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard Chan School of Public Health, Boston, MA, 02115, USA. gcyuan@jimmy.harvard.edu.
Guoji GuoCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China. ggj@zju.edu.cn.
Zhejiang University · CNDana-Farber Cancer Institute · USTongji University · CN

Funding

973 Program 2015CB964900Fundamental Research Funds for the Central Universities 2016XZZX002-04National Key Program on Stem Cell and Translational Research 2017YFA0103401National Natural Science Foundation of China 31701290National Natural Science Foundation of China 31722027National Natural Science Foundation of China 81770188
6 · The paper itself

Abstract

backgroundHuman pluripotent stem cells (hPSCs) provide powerful models for studying cellular differentiations and unlimited sources of cells for regenerative medicine. However, a comprehensive single-cell level differentiation roadmap for hPSCs has not been achieved.

resultsWe use high throughput single-cell RNA-sequencing (scRNA-seq), based on optimized microfluidic circuits, to profile early differentiation lineages in the human embryoid body system. We present a cellular-state landscape for hPSC early differentiation that covers multiple cellular lineages, including neural, muscle, endothelial, stromal, liver, and epithelial cells. Through pseudotime analysis, we construct the developmental trajectories of these progenitor cells and reveal the gene expression dynamics in the process of cell differentiation. We further reprogram primed H9 cells into naïve-like H9 cells to study the cellular-state transition process. We find that genes related to hemogenic endothelium development are enriched in naïve-like H9. Functionally, naïve-like H9 show higher potency for differentiation into hematopoietic lineages than primed cells.

conclusionsOur single-cell analysis reveals the cellular-state landscape of hPSC early differentiation, offering new insights that can be harnessed for optimization of differentiation protocols.

Indexed as

Cell DifferentiationCells, CulturedEmbryoid BodiesHigh-Throughput Nucleotide SequencingHumansPluripotent Stem CellsSequence Analysis, RNASingle-Cell AnalysisEmbryoid bodyNaïve human pluripotent stem cellPrimed human pluripotent stem cellSingle-cell RNA-sequencing

Identifiers

PMID29622030
PMCPMC5887227
OpenAlexW2795624730

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.