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Autoantibodies to novel cytoplasmic structures (GW bodies) involved in mRNA processing

2007· article· en· W2007517497 on OpenAlexaffabout
Mittermayer B. Santiago, Theophany Eystathioy, Rahima A. Bhanji, Marvin J. Fritzler

Bibliographic record

VenueRevista Brasileira de Reumatologia · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAutoantibodyMessenger RNACytoplasmMedicineHeLaGeneCell cultureImmunologyPathologyCell biologyAntibodyBiologyGenetics

Abstract

fetched live from OpenAlex

This particular cytoplasmic discrete speckled pattern (1,2) is quite unique as the structures observed are a new entity named GW bodies (Figure 1), abbreviated GWBs (also known as mammalian P bodies or processing bodies). Functionally, GWBs are involved in the process of RNA interference (RNAi), mRNA degradation and/or mRNA storage. A subset of mRNAs are targeted to these cytoplasmic structures, therefore GWBs play a central role in the cell by influencing the fate of mRNAs. GWBs are ubiquitous and present in many tissues and cell lines as well as normal cells but appear to be more highly expressed in cancer cells such as HEp-2 (laryngeal carcinoma) and HeLa (cervical carcinoma) that are now routinely used to screen human sera for the presence of autoantibodies. To date, five target autoantigens in GWBs have been published. They include GW182, a unique protein characterized by a numerous glycine (G) and tryptophan (W) repeats(3), Ge-1/hedls (4,5), RAP-55(6), diacyl-phosphatidyl ethanolamine(2), and Su/hAgo2(7). The clinical diagnosis of patients with autoantibodies to GWBs can be divided into four main groups. In a study from the University of Calgary, the most common diagnosis is Sjogren’s syndrome, systemic lupus erythematosus (SLE), and the third group has neurological disease(3). In another study from Brazil(2) there was no clear cut clinical associations, although 3 patients with SLE were noted, but the majority comprise the fourth category of other conditions(2). The difference between the clinical profiles in these two centers may be explained on the basis of different clinical referral patterns. For example, in Calgary, serum samples of patients with suspected autoimmune neurological disease (ataxia, motor and sensory neuropathy) are routinely evaluated. Examination of 5000 patient serum samples received during 2000-2001, by ANA at the Mitogen Advanced Diagnostics Laboratory at the University of Calgary, demonstrated that the prevalence Figura 1 – Hep2000 cells stained with patient serum containing autoantibodies to GWBs (red). The nuclei are stained with DAPI (blue). Arrows are pointing to different sized GWBs while the arrowhead marks a cell undergoing mitosis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.022
GPT teacher head0.311
Teacher spread0.289 · 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 teacher head, 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

Citations2
Published2007
Admission routes2
Has abstractyes

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