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Record W2992360190 · doi:10.1182/blood.v104.11.3.3

Mutations in TERT, the Gene Encoding Telomerase Reverse Transcriptase, in “Acquired” Aplastic Anemia Inhibit Enzymatic Function by a Dominant Negative Mechanism of Action.

2004· article· en· W2992360190 on OpenAlexaff
Rodrigo T. Calado, Hinh Ly, Hiroki Yamaguchi, Gabriela M. Baerlocher, Sachiko Kajigaya, Stephen J. Chanock, Peter M. Lansdorp, Neal S. Young

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsTerry Fox Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsTelomereTelomeraseBiologyMolecular biologyTelomerase reverse transcriptaseNonsynonymous substitutionGeneMutationExonReverse transcriptaseTelomerase RNA componentAplastic anemiaGeneticsImmunologyPolymerase chain reactionBone marrow

Abstract

fetched live from OpenAlex

Abstract About one third of patients with acquired aplastic anemia (AA) have very short telomeres of their peripheral blood leukocytes; short telomeres correlate to long disease duration and poor response to immunosuppressive therapy. We have recently shown that some cases of apparently “acquired” AA have mutations in TERC, the gene encoding the RNA component of telomerase (Fogarty et al., Lancet2003;632:1628; Yamaguchi et al., Blood2003;102:916). In the current study, we examined TERT, the gene encoding the telomerase reverse transcriptase, by sequencing the gene’s exons and proximal promoter region in peripheral blood DNA samples from 122 patients with AA and 282 controls. Four novel nonsynonymous mutations among five patients, not present in controls, were discovered; three polymorphisms were identified, two nonsynonymous SNPs and one deletion of a single amino acid. To investigate the functional consequences of the mutations, telomere lengths of leukocytes were assessed by flow cytometric fluorescence in situ hybridization (flow-FISH). All patients carrying TERT mutations had markedly short telomeres compared to age-matched controls, as opposed to other AA patients with polymorphisms, whose telomeres were normal. In one patient’s kindred, presence of the TERT mutation in other family members correlated to telomere shortening; non-carriers had normal telomeres. Telomerase function in patients’ T cells, activated by phytohemagglutinin and interleukin-2 to increase enzymatic activity, was measured by the telomeric repeat amplification protocol (TRAP). In all mutant AA patients evaluated, cell lysates yielded very low or no telomerase activity, as compared to normal controls. We cloned the AA-related mutations into a TERT expression vector and co-transfected these vectors into VA13 cells (with a TERC-containing vector, as this cell line does not have telomerase activity due to absent TERC and TERT expression). All mutant TERT-containing cell lysates were severely deficient in enzymatic activity. TERT gene expression, as evaluated by Northern blot, was normal in cells transfected with the mutated genes. When vectors containing wild-type TERT and individual TERT mutations were cotransfected, telomerase activity was dramatically reduced, in comparison to transfection of wild-type TERT vector only. These results indicate a dominant negative mechanism of action of TERT mutations as responsible for the absence of telomerase activity in AA patients’ cells. Family members lacking telomerase activity have short telomeres but appear physically normal and have no hematological abnormalities. In a provisional model of the telomere repair complex and marrow failure, mutations in DKC1 and the stability regions of TERC cause dyskeratosis congenita, with early presentation and associated physical anomalies. Mutations that affect the enzyme-binding region of TERC and in TERT, the reverse transcriptase itself, lead to a constitutionally reduced stem cell compartment and appear to be genetic risk factors for the development of “acquired” aplastic anemia.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.017
GPT teacher head0.245
Teacher spread0.227 · 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 designBench or experimental
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

Citations1
Published2004
Admission routes1
Has abstractyes

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