Evidence map›Paper›PMID 26620629›Full record

ReviewImmunology and cell biology2016

The niche in single-cell technologies.

Giacomo Donati

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunology and cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Comparative analysis between highFrontiers in oncology · 2023
    Article
  3. Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues.International journal of molecular sciences · 2022
    Review
  4. Single-Cell RNA Sequencing of Ovarian Cancer: Promises and Challenges.Advances in experimental medicine and biology · 2021
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

1 author.

Giacomo DonatiCentre for Stem Cells and Regenerative Medicine, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The niche is the microenvironment in which each cell exists and is able to keep its own peculiar characteristics. The importance of the niche has been intensively studied especially in the context of stem cells, as it is responsible for both the maintenance of stemness and activation of differentiation. In the past few years, a variety of single-cell technologies have shed light on the extraordinary variability that characterizes different stem cell populations both in vitro and in vivo, but in most cases positional information is lost. Recent developments of new technologies aim to integrate both the transcriptomic profiling of cells and their spatial location. In this review I will discuss the state of the art of these technologies and the integration with others approaches that will be important in the study of stem cell populations.

Indexed as

BiotechnologyCellular MicroenvironmentStem Cell NicheAnimalsComputational BiologyGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansIn Situ Hybridization, FluorescenceMolecular ImagingSingle-Cell Analysis

Identifiers

PMID26620629

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.