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Record W4408315365 · doi:10.1101/2025.03.03.641076

Sex differences in the regulation and function of cellular immunity in <i>Drosophila</i>

2025· preprint· en· W4408315365 on OpenAlexaff
Alexandra Dmitria Dvoskin, Guy Tanentzapf

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicInvertebrate Immune Response Mechanisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDrosophila (subgenus)ImmunityFunction (biology)BiologyCell biologyImmunologyNeuroscienceGeneticsImmune systemGene

Abstract

fetched live from OpenAlex

Abstract Sex differences in development and physiology are prevalent in animals. One physiological system with pronounced differences between the sexes is the immune system: the immune response in humans differs between sexes and results in differential susceptibility of males and females to autoimmune diseases, malignancies, and infectious diseases. However, much remains to be discovered about the mechanisms underlying these sex-based differences in immunity. Here, we use the Drosophila hematopoietic organ, the lymph gland, as a model to investigate sex differences in cellular immunity and determine the underlying mechanisms. We find that, in line with their smaller body size, males have smaller lymph glands than females that contain fewer blood progenitors and produce less immune cells. Single cell RNA-seq analysis of the lymph gland showed that they expressed that sex determination genes and identified substantial sex-specific differences in gene expression. By manipulating the sexual identity of different cell types in the lymph gland we show that a subset of these sex differences are controlled by organ-intrinsic mechanisms involving the hematopoietic niche. Importantly, we find a differential response between males and females to changes in insulin signaling, an important regulator of the immune response in the niche. Finally, we provide evidence for differences in the cellular immune response following infection between males and females. Overall, our results provide mechanistic insight into how sex differences in immunity are established. Author’s Summary Our paper deals with a fundamental question in biology, how does the sex of an organism influence its anatomy and physiology. In particular, we focus on sex-differences in immunity and stem cell function. We establish the Drosophila larva as a model for analysing sex-based differences in cellular immunity. Cellular immunity in Drosophila is based on the production of multiple types of mature immune cells from blood progenitors and takes place in the fly hematopoietic organ, the larval lymph gland. We find that sex controls the number of various cell types in the lymph gland (progenitors, and specific varieties of mature blood cells). These sex-differences vary by cell type and change depending on whether flies are raised under homeostatic or infection conditions. We provide insight into the mechanisms that mediate these sex differences, identifying a possible role for the hematopoietic niche and insulin signaling. Taken together our work not only serves as an initial characterization of baseline sex-differences in fly hematopoiesis and cellular immunity but also identifies important areas for future exploration.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.200
Teacher spread0.187 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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