Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.02.15.528747

Mitochondrial metabolism in Drosophila macrophage-like cells regulates body growth via modulation of cytokine and insulin signaling

Abstract

Macrophages play key roles in regulating and maintaining tissue and whole-body metabolism in both normal and disease states. While the cell-cell signaling pathway that underlie these functions are becoming clear, less is known about how alterations in macrophage metabolism influence their roles as regulators of systemic physiology. Here we investigate this by examining Drosophila macrophage-like cells called hemocytes. We used knockdown of TFAM, a mitochondrial genome transcription factor, to reduce mitochondrial OxPhos activity specifically in larval hemocytes. We find that this reduction in hemocyte OxPhos leads to a decrease in larval growth and body size. These effects are associated with a suppression of systemic insulin, the main endocrine stimulator of body growth. We also find that TFAM knockdown leads to decreased hemocyte JNK signaling and decreased expression of the TNF alpha homolog, Eiger in hemocytes. Furthermore, we show that genetic knockdown of hemocyte JNK signaling or Eiger expression mimics the effects of TFAM knockdown and leads to a non-autonomous suppression of body size but without altering hemocyte numbers. Our data suggest that modulation of hemocyte mitochondrial metabolism can determine their non-autonomous effects on organismal growth by altering cytokine and systemic insulin signaling. Given that mitochondrial metabolism can be controlled by nutrient availability, our findings may explain how macrophages function as nutrient-responsive regulators of tissue and whole-body physiology and homeostasis.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sriskanthadevan-Pirahas, S., Tinwala, A. Q., Turingan, M. J., Khan, S., Grewal, S. S.. 2023-02-16. Mitochondrial metabolism in Drosophila macrophage-like cells regulates body growth via modulation of cytokine and insulin signaling. https://doi.org/10.1101/2023.02.15.528747

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Whole embryo barcoding reveals convergent origins of mesodermal cells during mammalian gastrulation

Classical fate-mapping and recent single-cell trajectory studies have suggested that mesoderm diversification during gastrulation proceeds through progressive fate bias and branching lineage segregation. Here, we combine inducible CRISPR-based lineage recording with single-cell RNA sequencing to reconstruct clonal relationships across mouse embryos barcoded at primitive streak onset and analyzed at early organogenesis. Mesodermal clones diverged after streak formation, but their developmental outputs remained extensively overlapping, revealing a clonal architecture that is not a simple branching lineage tree. Using sampling-aware statistical models, we quantify distinct clonal origins of paraxial mesoderm across the anterior-posterior axis, show that endothelial cells arise from multiple mesoderm origins but demonstrate transcriptional differences that correspond to anatomical position and clonal lineage, and identify clonal sharing between extra-embryonic mesoderm and embryonic derivatives, including cardiac lineages and a shared hindlimb-allantois progenitor. In the heart, progenitors corresponding to classical heart fields remain multipotent, contributing both myocardial and non-myocardial cell types. Together, our findings support a model in which mesodermal diversity is assembled through spatially distinct, fate-biased progenitor pools whose descendants converge on shared cell states. Our findings challenge simple branching models of mesoderm diversification and provide a clonal framework for understanding how tissue diversity emerges in the embryo.

developmental biology↗

Transcription factor handover reshapes hub dynamics to coordinate temporal progression of Notch response

To decipher information in space and time, cells require mechanisms to sustain gene expression programmes once an initial signal decays. Localised condensation of transcription complexes into hubs is emerging as a key step in gene regulation and, by combining live imaging of transcription and of transcription complexes at target loci, we have investigated how these evolve to enable a prolonged transcription outcome in response to Notch signalling. Measuring the dynamics of hindsight (hnt) transcription reveals two phases. The first, a probabilistic response similar to E(spl)-C genes, is directly controlled by Notch and the second, a sustained response, is indirectly controlled through the BTB transcription factor Broad. The two phases correlate with a transition in transcription factor enrichment at hnt: complexes of Notch coactivator Mastermind and of Broad are successively enriched. Notably, the lifetime of the hubs formed by each are distinct and correlate with the change in transcription profiles. These reflect the binding dynamics of each complex, with Broad having significantly more stable association with chromatin, forming longer lasting hubs and yielding sustained transcription. Furthermore at intermediate stages we detect hubs containing both Broad and Mam implying an evolution in hub composition. Together our data support that the dynamic properties of transcription hubs are crucial for the probability and dynamics of transcription and point towards a ''hub handover'' in enabling temporal progression in gene expression responses.

developmental biology↗

An interplay of multilayered regulatory mechanisms underlies the RNA solubility phase transition during vertebrate oocyte-to-embryo transition

Dynamic RNA-protein interactions influence RNA transport, storage, stability, and activity and are fundamental to a broad range of biological processes. During the oocyte-to-embryo transition (OET), fully differentiated gametes fuse and regain totipotency. Throughout the OET, the transcription remains silent. Spatiotemporal regulation of gene expression relies on the dynamic interactions between maternal transcripts and various protein complexes. Despite its fundamental importance, RNA-protein interaction dynamics at the global level during the OET remain poorly understood. Here, we leverage fractionation RNA-seq to profile RNA insolubility, a proxy for the interaction between RNAs and protein complexes, during zebrafish OET. We identify transcripts that transition between the soluble (relatively protein-free) and insoluble (heavily protein-associated) states and demonstrate that these phase transitions are driven by ribosome-dependent and ribosome-independent mechanisms. We demonstrate that the capacity of maternal RNAs to engage with protein complexes changes dynamically during the OET through remodeling of cis-regulatory features. We developed a machine-learning framework and uncovered multiple cis- and trans-regulatory features that may contribute to RNA insolubility. To validate these predictions, we examined poly(A) tail length and m6A dynamics. We found that poly(A) tail length is associated with both ribosome-dependent and ribosome-independent RNA phase transitions. In parallel, fractionation m6A-pulldown RNA-seq revealed highly dynamic changes in the m6A landscape during the OET. A correlation between m6A modifications and RNA insolubility is gradually established during the OET. Together, our findings uncover a multilayered regulatory mechanism governing RNA phase transitions during the OET, providing fundamental insights into post-transcriptional regulation of gene expression during development.

developmental biology↗