Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 696

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Deep imaging of bone marrow shows non-dividing stem cells are mainly perisinusoidal

Open access
Acar, Melih, Kocherlakota, Kiranmai S., Murphy, Malea M., Peyer, James G., Oguro, Hideyuki, Inra, Christopher N., Jaiyeola, Christabel, Zhao, Zhiyu, Luby-Phelps, Katherine, Morrison, Sean J.·2015·Nature

Abstract

Haematopoietic stem cells (HSCs) reside in a perivascular niche but the specific location of this niche remains controversial. HSCs are rare and few can be found in thin tissue sections or upon live imaging, making it difficult to comprehensively localize dividing and non-dividing HSCs. Here, using a green fluorescent protein (GFP) knock-in for the gene Ctnnal1 in mice (hereafter denoted as α-catulinGFP), we discover that α-catulinGFP is expressed by only 0.02% of bone marrow haematopoietic cells, including almost all HSCs. We find that approximately 30% of α-catulin−GFP+c-kit+ cells give long-term multilineage reconstitution of irradiated mice, indicating that α-catulin−GFP+c-kit+ cells are comparable in HSC purity to cells obtained using the best markers currently available. We optically cleared the bone marrow to perform deep confocal imaging, allowing us to image thousands of α-catulin–GFP+c-kit+ cells and to digitally reconstruct large segments of bone marrow. The distribution of α-catulin–GFP+c-kit+ cells indicated that HSCs were more common in central marrow than near bone surfaces, and in the diaphysis relative to the metaphysis. Nearly all HSCs contacted leptin receptor positive (Lepr+) and Cxcl12high niche cells, and approximately 85% of HSCs were within 10 μm of a sinusoidal blood vessel. Most HSCs, both dividing (Ki-67+) and non-dividing (Ki-67−), were distant from arterioles, transition zone vessels, and bone surfaces. Dividing and non-dividing HSCs thus reside mainly in perisinusoidal niches with Lepr+Cxcl12high cells throughout the bone marrow.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature15250

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Cited by

Metadata

Authors
Acar, M., Kocherlakota, K. S., Murphy, M. M., Peyer, J. G., Oguro, H., Inra, C. N., Jaiyeola, C., Zhao, Z., Luby-Phelps, K., & Morrison, S. J.
Venue
Nature
Published
2015-09-23
Volume
526
Issue
7571
Pages
126-130
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2193032347
Cited by
696
References
6
FWCI
47.71
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.