MétaCan
Menu
Back to cohort
Record W7132989046

Studying the Regulation and Function of Biomolecular Condensates with In vitro Reconstitution

2022· dissertation· W7132989046 on OpenAlexaff
Brian Tsang

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFunction (biology)Protein–protein interactionIntrinsically disordered proteinsPhosphorylationProtein domainProtein structureIn vitroProtein aggregation
DOInot available

Abstract

fetched live from OpenAlex

A central dogma in biochemistry is that a protein’s function depends on its fixed three-dimensional structure. However, bioinformatics analysis predicts that the majority of human proteins (~58%) contain both folded protein domains along with protein regions that are entirely devoid of any tertiary protein structures, referred to as intrinsically disordered protein regions (IDRs). Despite the strong association of proteins with significant IDRs to numerous diseases, most studies tend to overlook the potential function of IDRs and focus solely on their folded domain portions. Moreover, mutations within IDRs are hard to functionally interpret and become frequently neglected or annotated as variants of unknown significance. Given these observations, we need to understand better the function and biological role of IDRs in health and disease. Recently, IDRs have been shown to drive membrane-less RNA-protein granule formation. Similar to the separation of oil and water, specific proteins and nucleic acids can phase separate and form distinct membrane-less compartments (also referred to as condensates). While we have some understanding of the phase separation process, the biological regulation of phase separation and the functional consequences of condensates remains enigmatic. Here, I use biochemistry and biophysical approaches to study the regulation and function of IDR phase separation and extend these findings to disease implications. Beginning in chapter 3, I studied the phase separation of the C-terminal IDR of the fragile X mental retardation protein (FMRP). I demonstrated that post-translational modifications, including phosphorylation and methylation, regulate FMRP phase separation which correlates with in vitro translational inhibition. In chapter 4, I studied the protein interactions and co-phase separation properties between two interacting IDRs, from FMRP and CAPRIN1. I found that different phosphorylation patterns on each IDR can regulate their co-phase separation properties and modulate their impact on deadenylation and translational activity. In chapter 5, I showed that the solvent environment of a CAPRIN1 condensate can regulate deadenylation activity by CNOT7 within the condensate. Together, these results support the functional importance of IDR phase separation and also provide new methods to study condensates. Importantly, my findings provide a platform to understand how disease mutations within IDRs may perturb phase separation leading to disruption of biological function.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.262
Teacher spread0.250 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueTSpaceSame topicGenetics and Neurodevelopmental DisordersFrench-language works237,207