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Bone Marrow Failure and Developmental Delay Caused By Mutations in Poly(A)-Specific Ribonuclease

2015· article· en· W2980030656 on OpenAlexaff
Santhosh Dhanraj, Sethu Madhava Rao Gunja, Adam P Deveau, Mikael Nissbeck, Boonchai Boonyawat, Andrew J Coombs, Alessandra Renieri, Mafalda Mucciolo, Annabella Marozza, Sabrina Buoni, Lesley Turner, Hongbing Li, Ameer Jarrar, Mathura Sabanayagam, Melanie Kirby, Mary Shago, Dalila Pinto, Jason N. Berman, Stephen W. Scherer, Anders Virtanen, Yigal Dror

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsMemorial University of NewfoundlandSickKids FoundationUniversity of TorontoDalhousie UniversityIzaak Walton Killam Health CentreHospital for Sick Children
Fundersnot available
KeywordsDiamond–Blackfan anemiaZebrafishBiologyDyskeratosis congenitaBone marrowCancer researchMutationHaematopoiesisGene knockdownGeneticsBone marrow failureCell biologyStem cellGeneImmunologyRNATelomerase

Abstract

fetched live from OpenAlex

Abstract Background: Deadenylation is a major mechanism that regulates RNA function and fate. Several mammalian deadenylases have been identified. Poly (A)-specific ribonuclease (PARN) is one of the major mammalian deadenylases that trims single-stranded poly (A) tails of mRNAs and oligoadenylated tails of H/ACA box snoRNAs and microRNAs. RNA biogenesis has emerged as a mechanism underlying several inherited diseases including well known inherited bone marrow failure syndromes (IBMFSs) such as Diamond Blackfan anemia, dyskeratosis congenita and Shwachman-Diamond syndrome. Little is known about the biological significance of germline mutations in PARN. Methods: Genome-wide screen for copy number alterations was used to identify causal mutations in patients with hematological and neurological manifestations. Four patients were identified with deletions in the PARN gene. Genomic, biochemical, cellular and knockdown experiments in human bone marrow cells and in zebrafish have been performed to clarify the role of PARN in the human disease. Results: We identified large monoallelic deletions in PARN in four patients with developmental delay or mental illness. One patient in particular had a severe neurological phenotype, central hypomyelination, and severe bone marrow failure. This patient had an additional missense mutation on the non-deleted allele and had severely reduced PARN protein and deadenylation activity. Clonogenic assays of the patient's bone marrow cells showed reduced potential to generate hematopoietic colony. Fibroblasts from the patient with biallelic mutations showed markedly slow growth. Large proportion of the cells accumulated in the G1/G0 phase of cell cycle, suggesting impaired transition from G1 to the S phase. Cells from this patient also had impaired oligoadenylation of specific H/ACA box snoRNAs and scaRNAs, including the telomerase RNA component (TERC). Importantly, PARN-deficient patient cells manifested abnormalities in two pathways that are affected in IBMFSs: short telomeres and an aberrant ribosome profile. This combination of abnormalities is seen in patients with severe variants of dyskeratosis congenita (Hoyeraal-Hreidarsson syndrome). Knocking down PARN in human CD34+ marrow cells from healthy donors revealed marked defect in clonogenic potential. Morpholino knockdown of parn in zebrafish resulted in reduced formation of red blood cells and granulocytes. Conclusions: We report for the first time four patients from three different families with developmental delay or mental illness, who carried large monoallelic PARN deletions that have not been reported in healthy controls. This indicates that large PARN deletions in humans result in a neurological phenotype. Further, we showed that biallelic PARN mutations that results in markedly reduced protein, cause severe bone marrow failure and severe global central hypomyelination, similar to what is seen in patients with severe forms of dyskeratosis congenita. The identified defects suggest a new disease mechanism, in which PARN-deficiency disrupts the polyadenylated state of H/ACA box RNA molecules that in turn influences ribosome profile and telomere length and cause hematological and neurological defects. Disclosures No relevant conflicts of interest to declare.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.225
Teacher spread0.212 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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