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Record W2966653897 · doi:10.1101/721001

Small molecule modulation of a redox-sensitive stress granule protein dissolves stress granules with beneficial outcomes for familial amyotrophic lateral sclerosis models

2019· preprint· en· W2966653897 on OpenAlexaff
Hiroyuki Uechi, Sindhuja Sridharan, Jik Nijssen, Jessica Bilstein, Juan M. Iglesias‐Artola, Satoshi Kishigami, Virgínia Casablancas-Antràs, Ina Poser, Eduardo J. Martinez, Edgar E. Boczek, Michael Wagner, Nadine Tomschke, António Miguel de Jesus Domingues, Arun Pal, Thom Doeleman, Sukhleen Kour, Eric N. Anderson, Frank Stein, Hyun O. Lee, Xiaojie Zhang, Anatol W. Fritsch, Marcus Jahnel, Julius Fürsch, Anastasia C. Murthy, Simon Alberti, Marc Bickle, Nicolas L. Fawzi, André Nadler, Della David, Udai Bhan Pandey, Andreas Hermann, Florian Stengel, Benjamin G. Davis, Andrew J. Baldwin, Mikhail M. Savitski, Anthony A. Hyman, Richard John Wheeler

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of Toronto
FundersNational Institutes of HealthDeutsche ForschungsgemeinschaftDeutsches Zentrum für Neurodegenerative ErkrankungenNational Institute of General Medical SciencesBundesministerium für Bildung und ForschungEuropean CommissionEU Joint Programme – Neurodegenerative Disease ResearchHermann und Lilly Schilling-Stiftung für Medizinische ForschungWellcome TrustNOMIS StiftungEli Lilly and CompanyBrown UniversityVetenskapsrådetNational Science Foundation
KeywordsStress granuleChemistryCell biologyAmyotrophic lateral sclerosisBiophysicsBiochemistryBiologyDiseaseMedicineGene

Abstract

fetched live from OpenAlex

Abstract Neurodegeneràve diseases such as amyotrophic lateral sclerosis (ALS) are oten associated with mutàons in proteins that are associated with stress granules. Stress granules are condensates formed by liquid-liquid phase separàon which, when aberrant, can lead to altered condensàon behaviours and disease phenotypes. Here, we identified lipoamide, a small molecule which specifically prevents cytoplasmic condensàon of stress granule proteins. Thermal proteome profiling showed that lipoamide preferentially stabilises intrinsically disordered domain-containing proteins. These include SRSF1 and SFPQ, stress granule proteins necessary for lipoamide activity. The redox state of SFPQ correlates with its condensate-dissolving behaviour, in concordance with the importance of the dithiolane ring for lipoamide activity. In animals, lipoamide ameliorates aging-associated aggregàon of a stress granule reporter, improves neuronal morphology, and recovers motor defects caused by expression of ALS-associated FUS and TDP-43 mutants. In conclusion, lipoamide is a well-tolerated small molecule modulator of stress granule condensàon and dissection of its molecular mechanism identified a cellular pathway for redox regulàon of stress granule formàon.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.034
GPT teacher head0.242
Teacher spread0.208 · 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.

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

Citations91
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicAmyotrophic Lateral Sclerosis ResearchFrench-language works237,207