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Record W7011648108

Models of Retinal Development and Disease

2022· other· en· W7011648108 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2022
Typeother
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
Fundersnot available
KeywordsStargardt diseaseABCA4Retinal pigment epitheliumRetinalRetinaDiseaseLipofuscinPhenotypeCiliopathy
DOInot available

Abstract

fetched live from OpenAlex

For a model of a human disease to be valid and useful, it is important that key genotypic and phenotypic traits are shared between model system and human. The work in this thesis has been focused on generating new and characterizing spontaneous models of three genetic disorders affecting the retina: retinoblastoma, a childhood cancer with its origin in the fetal retina, Stargardt disease, a juvenile form of macular degeneration, and Bardet-Biedl syndrome, a pleiotropic ciliopathy featuring retinal degeneration. In Paper I, we generated two novel models of MYCN-driven retinoblastoma, in developing chicken retinas and in human retinal organoids, in order to identify its cell of origin and to determine whether MYCN is sufficient in driving tumorigenesis. We found that MYCN was indeed sufficient and that the expression was uniquely tolerated by the cone and horizontal cell progenitor which survived and proliferated anachronistically. The results from our models are in alignment with observations that MYCN-driven retinoblastoma results in a more anaplastic and aggressive form of the cancer and we propose that the fate-restricted progenitor for cones and horizontal cells is its cell of origin. In Paper II, we analyzed the effects of a novel, spontaneous model of ABCA4-mediated Stargardt disease in Labrador retrievers and found that dogs homozygous for the mutation exhibited visual impairment and photoreceptor degeneration. Cone photoreceptors were scarce and the retinal pigment epithelium autofluorescent, indicative of lipofuscin accumulation, a hallmark of Stargardt disease. The phenotype and its etiology in this model are akin to human Stargardt disease. In Paper III, we investigated whether a spontaneous mutation in the TTC8 gene resulted in syndromic Bardet-Biedl syndrome in golden retrievers. We found that, in addition to progressive photoreceptor degeneration and visual impairment, the TTC8 mutation resulted in pleiotropic clinical signs of Bardet-Biedl syndrome with great inter-individual variation, congruent with Bardet-Biedl syndrome in humans. We find that the models described in this thesis are representative of the corresponding genetic disorders in human and that they could be of value for hypothesis generation (in chicken), experimental gene therapy (in dog), and as a human system to test pharmacological interventions (retinal organoids).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.684
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2022
Admission routes1
Has abstractyes

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