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Record W2589030604 · doi:10.1182/blood.v110.11.lb3.lb3

Loss of Primitive Hematopoietic Cells in Patients with Dyskeratosis Congenita.

2007· article· en· W2589030604 on OpenAlexaff
Geraldine Aubert, Frederick D. Goldman, Al Klingelhutz, Mark Hills, Sara R. Cooper, Wendy S. Hamilton, Annette J. Schlueter, Connie J. Eaves, Peter M. Lansdorp

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsDyskeratosis congenitaCD34HaematopoiesisTelomeraseBone marrowBone marrow failureTelomereBiologyStem cellImmunologyPopulationCancer researchGranulocyte colony-stimulating factorMedicineCell biologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Dyskeratosis Congenita (DC) is a bone marrow (BM) failure syndrome characterized by progressive telomere shortening. The discovery of mutations in genes encoding components of the telomerase complex in DC has implicated defective telomere maintenance in the disease pathogenesis. However, it is not known if defective telomeres in DC result in a qualitative impairment of hematopoiesis and/or a decrease in the maintenance of very primitive hematopoietic cells. To address this question, we characterized CD34+ cells present in BM aspirates and granulocyte colony stimulating factor (G-CSF) -mobilized peripheral blood (mPB) cells harvested from 5 DC patients prior to the onset of severe BM failure. These 5 patients were from 3 successive generations of a single family and all had an autosomal dominant mutation in the telomerase gene (TERC). The BM was found to be hypocellular in all patients, with a consistently reduced percentage of CD34+ cells - lowest in the two 3rd generation subjects (0.05% and 0.16% vs 0.5%–1% in normal controls). The target for G-CSF-mobilized cell harvests (2x106 CD34+ cells/kg) was met for 2 of the 5 DC patients, with only 5x105 CD34+ cells/kg obtained from the 2 DC patients with a longstanding history of thrombocytopenia. However, within the CD34+ population, the proportions of cells co-expressing various lineage markers were normal and the frequencies of granulopoietic, erythroid and multi-lineage colony-forming cells (CFCs) were similar to those of normal donors, suggesting that the commitment and differentiation programs in these DC patients were not grossly perturbed. However, the fact that their BMs were hypocellular with a further reduced content of CD34+ cells indicates that total CFC numbers were markedly decreased. The total number of more primitive cells detectable as long term culture-initiating cells (LTC-ICs) were decreased a further order of magnitude as indicated by a 10-fold reduction in their frequency within the CD34+ compartment by comparison to normal mPB CD34+ cells. Telomere length measurements were performed on cells from day 4 cultures of CD34+ mPB DC cells using quantitative FISH (Q-FISH) and single telomere end length analysis (STELA). Telomere length in a 2nd generation patient was reduced (7.2 Kb) compared to an age-matched control (12.4 Kb) and this difference was accentuated in two 3rd generation patients (4.6 and 3.4 Kb) in line with progressive telomere loss with successive generations. Telomeres with <1.5 kb repeats were readily observed by STELA and were increased in DC subjects (up to 9.5%). These findings provide the first description of telomere length and functional analyses of primitive hematopoietic cells from DC patients. The data support the concept that BM failure in DC subjects results from a loss of very primitive hematopoietic cells triggered by defective telomeres rather than a qualitative impairment in the ability of hematopoietic cells to differentiate. Assays of primitive cells and telomere length may thus be useful parameters to predict both the time of onset and the degree of BM failure in DC patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.215
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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