Evidence map›Paper›PMID 35837798›Full record

ReviewBritish journal of haematology2022

Diversity in the bone marrow niche: Classic and novel strategies to uncover niche composition.

Raúl Sánchez-Lanzas, Foteini Kalampalika, Miguel Ganuza

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of haematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  10. Review
  11. The evolving hematopoietic niche during development.Frontiers in molecular biosciences · 2024
    Review
  12. Review
  13. Article
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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

3 authors at 1 institution in 1 country.

Raúl Sánchez-LanzasCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Foteini KalampalikaCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Miguel GanuzaCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID 0000-0002-1070-7961
Queen Mary University of London · GB

Funding

Medical Research Council MR/V009222/1
6 · The paper itself

Abstract

Our view on the role and composition of the bone marrow (BM) has dramatically changed over time from a simple nutrient for the bone to a highly complex multicellular tissue that sustains haematopoiesis. Among these cells, multipotent haematopoietic stem cells (HSCs), which are predominantly quiescent, possess unique self-renewal capacity and multilineage differentiation potential and replenish all blood lineages to maintain lifelong haematopoiesis. Adult HSCs reside in specialised BM niches, which support their functions. Much effort has been put into deciphering HSC niches due to their potential clinical relevance. Multiple cell types have been implicated as HSC-niche components including sinusoidal endothelium, perivascular stromal cells, macrophages, megakaryocytes, osteoblasts and sympathetic nerves. In this review we provide a historical perspective on how technical advances, from genetic mouse models to imaging and high-throughput sequencing techniques, are unveiling the plethora of molecular cues and cellular components that shape the niche and regulate HSC functions.

Indexed as

Bone MarrowStem Cell NicheAnimalsCell DifferentiationHematopoiesisHematopoietic Stem CellsMicebone marrow nichecellular interactomeshaematopoietic stem cellsmurine modelssingle-cell technologies

Identifiers

PMID35837798
PMCPMC9796334
OpenAlexW4285591962

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.