The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Kinetics of Central Nervous System Microglial and Macrophage Engraftment: Analysis Using a Transgenic Bone Marrow Transplantation Model
Abstract
To determine the kinetics of tissue macrophage and microglial engraftment after bone marrow (BM) transplantation, we have developed a model using the ROSA 26 mouse. Transplanted ROSA 26 cells can be precisely identified in recipient animals because they constitutively express β-galactosidase (β-gal) and neomycin resistance. B6/129 F2 mice were irradiated and transplanted with BM from ROSA 26 donors and their tissues (spleen, marrow, brain, liver, and lung) examined at various time points to determine the kinetics of engraftment. Frozen sections from transplanted animals were stained histochemically for β-gal to identify donor cells. At 1, 2, 6, and 12 months posttransplantation, 98% to 100% of granulocyte-macrophage colonies were of donor (ROSA 26) origin determined by β-gal staining and by neomycin resistance. Splenic monocytes/macrophages were 89% donor origin by 1 month confirming quick and complete engraftment of hematopoietic tissues. At this time, only rare ROSA 26 tissue macrophages or microglia were observed. Alveolar macrophage engraftment was evident by 2 months and had increased to 61% of total tissue macrophages at 1 year posttransplantation. The kinetics of liver Kupffer cell engraftment were similar to those seen in the lung. However, donor microglial engraftment remained only 23% of total microglia at 6 months and increased to only 30% by 1 year. Also, donor microglia were predominantly seen at perivascular and leptomeningeal, and not parenchymal, sites. The data show that microglia derive from BM precursors but turn over at a significantly slower rate than other tissue macrophages. No clinical or histological graft-versus-host disease was observed in the recipients of ROSA 26 BM. These kinetics may impact strategies for the gene therapy of lysosomal storage diseases. Because individual donor cells can be identified in situ, the ROSA 26 model should have many applications in transplantation biology including studies of homing and differentiation.
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.
Integrity signals
Registry
Cites
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.
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
Adhesion receptors of the immune system
Springer, T. A. (1990) · Nature · doi:10.1038/346425a0 · Cited by 6,477
Perivascular microglial cells of the CNS are bone marrow-derived and present antigen in vivo
Hickey, W. F., & Kimura, H. (1988) · Science · doi:10.1126/science.3276004 · Cited by 1,466
Turnover of resident microglia in the normal adult mouse brain
Lawson, L. J., Perry, V. H., & Gordon, S. (1992) · Neuroscience · doi:10.1016/0306-4522(92)90500-2 · Cited by 709
Cited by
TLR4 enhances TGF-β signaling and hepatic fibrosis
Seki, E., De Minicis, S., Österreicher, C. H., Kluwe, J., Osawa, Y., Brenner, D. A., & Schwabe, R. F. (2007) · Nature Medicine · doi:10.1038/nm1663 · Cited by 1,942
Chen, J., Li, Y., Wang, L., Zhang, Z., Lu, D., Lu, M., & Chopp, M. (2001) · Stroke · doi:10.1161/01.str.32.4.1005 · Cited by 1,764
Local self-renewal can sustain CNS microglia maintenance and function throughout adult life
Ajami, B., Bennett, J. L., Krieger, C., Tetzlaff, W., & Rossi, F. M. V. (2007) · Nature Neuroscience · doi:10.1038/nn2014 · Cited by 1,643
Microglia and brain macrophages in the molecular age: from origin to neuropsychiatric disease
Prinz, M., & Priller, J. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3722 · Cited by 1,329
Macrophage-mediated inflammation in metabolic disease
Chawla, A., Nguyen, K. D., & Goh, Y. P. S. (2011) · Nature reviews. Immunology · doi:10.1038/nri3071 · Cited by 1,314
Metadata
- Authors
- Kennedy, D. W., & Abkowitz, J. L.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 1997-08-01
- Volume
- 90
- Issue
- 3
- Pages
- 986-993
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W67604591
- Cited by
- 342
- References
- 3
- FWCI
- 5.18
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Kinetics of Central Nervous System Microglial and Macrophage Engraftment: Analysis Using a Transgenic Bone Marrow Transplantation Model. https://app.cochat.ai/papers/10.1182/blood.v90.3.986
- The paper
- Kennedy, D. W., & Abkowitz, J. L. (1997). Kinetics of Central Nervous System Microglial and Macrophage Engraftment: Analysis Using a Transgenic Bone Marrow Transplantation Model. Blood. https://doi.org/10.1182/blood.v90.3.986
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.