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The Impact of Telomere Shortening in Dyskeratosis Congenita Cells on DNA Damage Response Pathways.

2007· article· en· W2534967356 on OpenAlexaff
Travis W. Witt, Aloysius J. Klingelhutz, Erik Westin, Preeti Satyanarayana, Peter M. Lansdorp, Frederick D. Goldman

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsTerry Fox Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsDyskeratosis congenitaTelomereBiologyTelomeraseDNA damageCytotoxic T cellBone marrow failureCancer researchBone marrowImmunologyMolecular biologyCell biologyHaematopoiesisStem cellGeneticsDNAIn vitro

Abstract

fetched live from OpenAlex

Abstract Dyskeratosis congenita (DC) is an inherited multisystem disorder of premature aging, typically characterized by bone marrow failure, mucosal leukoplakia, abnormal skin pigmentation, and nail dystrophy. The X-linked and autosomal dominant forms of DC are associated with mutations in genes that affect telomerase activity resulting in a decrease in telomere length. DC, like other bone marrow failure disorders, is associated with ineffective hematopoiesis and a cancer predisposition. Standard treatment of bone marrow failure or cancer requires cytotoxic therapy, and clinical observations suggest DC patients have an increased sensitivity to cytotoxic therapy. To explain this, we hypothesized that the short telomeres in somatic cells from DC patients could alter the activity and/or expression of several proteins involved in DNA repair or the response to cellular stress including p16, p53 and p21. Lymphocytes from five DC subjects and age-matched controls were stimulated to grow in vitro in the presence of various cytotoxic agents with different modes of action, including Taxol (antimitotic agent and microtubule inhibitor) and Etoposide (topoisomerase inhibitor and DNA damaging agent). In addition, we tested fibroblasts and keratinocyte extracted from skin biopsies from DC and control subjects that were serially passaged. Cellular proliferation and cell death were monitored by cell counts and flow cytometry. Western blotting was used to measure steady state and DNA damage- induced expression of tumor suppressor protein p53 and other proteins involved in DNA damage response signaling pathway, including p16 and p21 in relation to telomere length. Results of flow cytometry accompanied by direct visualization showed a decreased proliferation of DC lymphocytes compared to normal cells, and this growth disadvantage was further accentuated following cell exposure to cytotoxic agents. DC lymphocytes exposed to 10−6 M Taxol showed a decrease in cellular proliferation between 3 and 8 fold while normal control cells exposed to the same agents exhibited only a 3 to 4 fold decrease in cell growth. Similarly DC lymphocytes exposed to Etoposide were inhibited to a greater extent than control cells. Western blot analysis of whole cell lysates indicated a difference in DNA damage response proteins. Of note, lymphocytes from several DC subjects exposed to Taxol did not upregulate p53 expression, while inducible levels were noted in Taxol-treated control cells. In contrast, DC and control lymphocytes exposed to Etoposide upregulated p53 in a similar dose dependent manner. No differences were noted in DC versus control lymphocytes with regards to basal or chemotherapy induced p16 expression. Interestingly, late passage DC fibroblasts displayed enhanced basal expression of p16. These results support the clinical observation of increased “chemosensitivity” in DC subjects and suggest that diminished telomerase activity and premature telomere shortening may interfere with normal DNA damage and stress response pathways. These data are also consistent with our finding that DC fibroblasts, keratinocytes, and lymphocytes have a reduced cell proliferative lifespan. Further studies are needed to dissect the role of telomeres in the cellular response to various types of DNA damage.

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 score0.002
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)0.0020.000

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 head0.018
GPT teacher head0.282
Teacher spread0.265 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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