Evidence map›Paper›PMID 34057725›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Intravital Imaging of Bone Marrow Niches.

Myriam L R Haltalli, Cristina Lo Celso

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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
8.8field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Myriam L R HaltalliImperial College London, London, UK.
Cristina Lo CelsoImperial College London, London, UK. c.lo-celso@imperial.ac.uk.
The Francis Crick Institute · GBUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L023776/1Cancer Research UK 26770Cancer Research UK C36195/A26770Wellcome Trust 105398/Z/14/ZWellcome Trust 212304/Z/18/Z
6 · The paper itself

Abstract

Haematopoietic stem cells (HSCs) are instrumental in driving the generation of mature blood cells, essential for various functions including immune defense and tissue remodeling. They reside within a specialised bone marrow (BM) microenvironment , or niche, composed of cellular and chemical components that play key roles in regulating long-term HSC function and survival. While flow cytometry methods have significantly advanced studies of hematopoietic cells, enabling their quantification in steady-state and perturbed situations, we are still learning about the specific BM microenvironments that support distinct lineages and how their niches are altered under stress and with age. Major advances in imaging technology over the last decade have permitted in-depth studies of HSC niches in mice. Here, we describe our protocol for visualizing and analyzing the localization, morphology, and function of niche components in the mouse calvarium, using combined confocal and two-photon intravital microscopy, and we present the specific example of measuring vascular permeability.

Indexed as

Intravital MicroscopyMicroscopy, ConfocalMicroscopy, Fluorescence, MultiphotonStem Cell NicheTime-Lapse ImagingAnimalsBone MarrowCapillary PermeabilityGenes, ReporterHematopoietic Stem CellsLuminescent ProteinsMice, TransgenicSkullLuminescent ProteinsBone marrowBone marrow microenvironmentBone marrow stromaConfocal and Multiphoton microscopyEndothelial cellsHematopoietic stem cellIntravital imagingNicheThree-dimensional image analysisTime-lapse imaging

Identifiers

PMID34057725
OpenAlexW3164628184

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.