Evidence map›Paper›PMID 18288524›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2008

QTL analyses of lineage-negative mouse bone marrow cells labeled with Sca-1 and c-Kit.

Mays Jawad, Clare Cole, Abigail Zanker, George Giotopoulos, Simon Fitch, Christopher J Talbot, Mark Plumb

Abstract read
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In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Mays JawadDepartment of Genetics, University of Leicester, University Road, Leicester LE1 7RH, UK.
Clare Cole
Abigail Zanker
George Giotopoulos
Simon Fitch
Christopher J Talbot
Mark Plumb
University of Leicester · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

Differences in the number of functionally and/or phenotypically defined bone marrow cells in inbred mouse strains have been exploited to map quantitative trait loci (QTL) that determine the variation in cell frequency. To extend this approach to the differences in the stem/progenitor cell compartment in CBA/H and C57BL/6 mice, we have exploited the resolution of flow cytometry and the power of QTL analyses in 124 F(2) mice to analyze lineage-negative (Lin(-)) bone marrow cells according to the intensity of labeling with Sca-1 and c-Kit. In the Lin(-) Sca-1(+) c-Kit(+) enriched population, six QTL were identified: one significant and five suggestive. Whereas previous in vitro clonogenic, LTC-IC, day 35 CAFC, and flow cytometry each identified different QTL, our approach identified the same or very similar QTL at all three loci (chromosomes 1, 17, and 18) as well as QTL on chromosomes 6 and 10. In silico analyses implicate hematopoietic stem cell homing involving Cxcr4 and Cxcl12 as being the determining pathway. The mapping of the same or very similar QTL in independent studies using different assay(s) suggests a common genetic determinant, and thus reinforces the biological and genetic significance of the QTL. These data also suggest that mouse bone marrow cell subpopulations can be functionally, phenotypically, and genetically defined.

Indexed as

Quantitative Trait LociAnimalsAntigens, LyBone Marrow CellsCell DifferentiationCell LineageChemokine CXCL12Flow CytometryMembrane ProteinsMiceMice, Inbred C57BLMice, Inbred CBAProto-Oncogene Proteins c-kitReceptors, CXCR4Species SpecificityAntigens, LyChemokine CXCL12Cxcl12 protein, mouseCXCR4 protein, mouseLy6a protein, mouseMembrane ProteinsProto-Oncogene Proteins c-kitReceptors, CXCR4

Identifiers

PMID18288524
OpenAlexW2022468134

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.