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Record W2257589245 · doi:10.1096/fj.15-275131

Chaperome screening leads to identification of Grp94/Gp96 and FKBP4/52 as modulators of the α‐synuclein‐elicited immune response

2015· article· en· W2257589245 on OpenAlexaboutno aff
Adahir Labrador‐Garrido, Marta Cejudo‐Guillén, Soumya Daturpalli, María M. Leal, Rebecca Klippstein, Erwin J. De Genst, Javier Villadiego, Juan José Toledo‐Aral, Christopher M. Dobson, Sophie Jackson, David Pozo, Cintia Roodveldt

Bibliographic record

VenueThe FASEB Journal · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsnot available
FundersMedical Research CouncilFederación Española de Enfermedades RarasWellcome TrustWellcome
KeywordsImmune systemPhenotypeBiologyChaperone (clinical)AntibodyCell biologyChemistryImmunologyBiochemistryMedicineGene

Abstract

fetched live from OpenAlex

We have investigated the potential role of molecular chaperones as modulators of the immune response by using α‐synuclein (αSyn) as an aggregation‐prone model protein. We first performed an in vitro immunoscreening with 21 preselected candidate chaperones and selected 2 from this set as displaying immunological activity with differential profiles, Grp94/Gp96 and FKBP4/52. We then immunized mice with both chaperone/α‐synuclein combinations using monomeric or oligomeric α‐synuclein (MαSyn or OαSyn, respectively), and we characterized the immune response generated in each case. We found that Grp94 promoted αSyn‐specific T‐helper (T h )1/T h 17 and IgG1 antibody responses (up to a 3‐fold increase) with MαSyn and OαSyn, respectively, coupled to a T h 2‐type general phenotype (generating 2.5‐fold higher IgG1/IgG2 levels). In addition, we observed that FKBP4 favored a T h 1‐skewed phenotype with MαSyn but strongly supported a T h 2‐type phenotype with OαSyn (with a 3‐fold higher IL‐10/IFN‐γ serum levels). Importantly, results from adoptive transfer of splenocytes from immunized animals in a Parkinson's disease mouse model indicates that these effects are robust, stable in time, and physiologically relevant. Taken together, Grp94 and FKBP4 are able to generate differential immune responses to α‐synuclein‐based immunizations, depending both on the nature of the chaperone and on the aggregation state of α‐synuclein. Our work reveals that several chaperones are potential modulators of the immune response and suggests that different chaperones could be exploited to redirect the amyloid‐elicited immunity both for basic studies of the immunological processes associated with neurodegeneration and for immunotherapy of pathologies associated with protein misfolding and aggregation.—Labrador‐Garrido, A., Cejudo‐Guillen, M., Daturpalli, S., Leal, M. M., Klippstein, R., De Genst, E. J., Villadiego, J., Toledo‐Aral, J. J., Dobson, C. M., Jackson, S. E., Pozo, D., Roodveldt, C. Chaperome screening leads to identification of Grp94/Gp96 and FKBP4/52 as modulators of the α‐synuclein‐elicited immune response. FASEB J. 30, 564‐577 (2016). www.fasebj.org

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)0.003
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.026
GPT teacher head0.300
Teacher spread0.274 · 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 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

Citations17
Published2015
Admission routes1
Has abstractyes

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