Evidence map›Paper›PMID 30320740›Full record

ArticleJournal of visualized experiments : JoVE2018

Single-cell Transcriptomic Analyses of Mouse Pancreatic Endocrine Cells.

Lin-Chen Li, Xin-Xin Yu, Yu-Wei Zhang, Ye Feng, Wei-Lin Qiu, Cheng-Ran Xu

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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.

Lin-Chen LiCollege of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University; Academy for Advanced Interdisciplinary Studies, Peking University.
Xin-Xin YuCollege of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University; Academy for Advanced Interdisciplinary Studies, Peking University.
Yu-Wei ZhangCollege of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University.
Ye FengCollege of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University; PKU-Tsinghua-NIBS Graduate Program, Peking University.
Wei-Lin QiuCollege of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University; PKU-Tsinghua-NIBS Graduate Program, Peking University.
Cheng-Ran XuCollege of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University; cxu@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic endocrine cells, which are clustered in islets, regulate blood glucose stability and energy metabolism. The distinct cell types in islets, including insulin-secreting β cells, are differentiated from common endocrine progenitors during the embryonic stage. Immature endocrine cells expand via cell proliferation and mature during a long postnatal developmental period. However, the mechanisms underlying these processes are not clearly defined. Single-cell RNA-sequencing is a promising approach for the characterization of distinct cell populations and tracing cell lineage differentiation pathways. Here, we describe a method for the single-cell RNA-sequencing of isolated pancreatic β cells from embryonic, neonatal and postnatal pancreases.

Indexed as

AnimalsCell DifferentiationCell ProliferationEndocrine CellsGene Expression ProfilingGlucoseInsulinInsulin-Secreting CellsMiceSequence Analysis, RNASingle-Cell AnalysisGlucoseInsulin

Identifiers

PMID30320740
PMCPMC6235374

What OpenQuestion holds

Textmetadata
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.