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Record W7064645505

Characterizing the role of PRMT5 in macrophages and its impact on the tumour microenvironment

2024· dissertation· en· W7064645505 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2024
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsMcGill University
Fundersnot available
KeywordsTumor microenvironmentCell cultureImmune systemInflammation
DOInot available

Abstract

fetched live from OpenAlex

Protein methyltransferase 5 (PRMT5) is an arginine methylation enzyme and a key regulator of the immune response.The role of PRMT5 is understood to be a suppressor of the innate immune cGAS-STING signalling pathway and is crucial for the proper development of cytotoxic CD8 + T lymphocytes.Depletion of PRMT5 in adaptive immune cells results in cancer progression; however, little is known on the impact of PRMT5 on innate immune cells such as macrophages.Herein, we have identified a new role for PRMT5 in macrophage polarization as well as the regulation of tumor immunity in the tumor microenvironment (TME).We illustrated using a PRMT5 conditional knockout (cKO) macrophage animal model that treatment with IFNg caused an increase in RNA expression of pro-inflammatory macrophage markers compared to control mice, but flow cytometry analysis showed no relative changes in the percentage of macrophage population expressing the pro-inflammatory markers.Macrophages are known to regulate the differentiation and proliferation of certain T lymphocytes.We investigated this using the PRMT5 cKO and we showed that the depletion of PRMT5 in macrophages did not impair the population or subtypes of splenic T lymphocytes.Next, we challenged PRMT5 macrophage cKO mice with subcutaneous injections of syngeneic B16.F0 melanoma.The tumor xenografts of PRMT5 cKO mice had decreased tumor infiltrating lymphocytes (TILs) compared to their control littermates.Lastly, we generated PRMT5 CD4-Cre mice, and we observed decreased CD8 + T-cell with reduced Th1, Th2 and CD4 + Treg cell expansion in the absence of PRMT5.The findings of my thesis show that PRMT5 depletion in macrophage increases the RNA expression of proinflammatory markers.PRMT5 cKO mice developed larger B16.F0 melanoma tumors with a reduction in TILs, promoting tumor progression.Additionally, PRMT5-depletion in T lymphocytes caused a decrease in cytotoxic CD8 + T-cell populations, and decreased CD4 + helper suppress the antiviral immune response, as well as increasing the effects of ICI, I hypothesize that PRMT5 might also be a key regulator of the immune activity of macrophages and lymphocytes.Thus, my first objective was to determine if PRMT5 depletion in bone marrow derived macrophages (BMDM) using the LYZM-CRE driver in PRMT5 Flox/Flox mice influenced the differentiation, polarization, and function of these cells.I also examined whether the differentiation of splenic T-cells occurred normally using the CD4-CRE driver in PRMT5 Flox/Flox mice.The second objective was to analyze the tumour immune microenvironment, as well as tumour size of PRMT5 knockout macrophages mice after subcutaneous injection of B16.F0 melanoma cells.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.247
Teacher spread0.239 · 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
Published2024
Admission routes1
Has abstractyes

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