Biology subjects

Tirosh, A.

Publications and source records attributed to Tirosh, A..

6 recordsLinked to original sources

bioRxiv2024

Piezo2 in sensory neurons influences systemic and adipose tissue metabolism

Systemic metabolism ensures energy homeostasis through inter-organ crosstalk regulating thermogenic adipose tissue. Unlike the well-described inductive role of the sympathetic system, the inhibitory signal ensuring energy preservation remains poorly understood. Here, we show that, via the mechanosensor Piezo2, sensory neurons regulate morphological and physiological properties of brown and beige fat and prevent systemic hypermetabolism. Targeting Runx3/PV sensory neurons in independent genetic mouse models resulted in a systemic metabolic phenotype characterized by reduced body fat and increased insulin sensitivity and glucose tolerance. Deletion of Piezo2 in PV sensory neurons reproduced the phenotype, protected against high-fat diet-induced obesity and caused adipose tissue browning and beiging, likely driven by elevated norepinephrine levels. Finding that brown and beige fat are innervated by Runx3/PV sensory neurons expressing Piezo2, suggests a model where mechanical signals sensed by Piezo2 in sensory neurons protect energy storages and prevent a systemic metabolic phenotype. HighlightsLack of Runx3/PV sensory neurons reduces body fat and fasting glucose levels and increases glucose tolerance in mice Mechanosensitive ion channel PIEZO2 in PV sensory neurons plays an important role in systemic metabolism under physiological and pathological conditions PIEZO2 in PV sensory neurons regulates thermogenic programs and glucose uptake in brown and beige adipose tissues Brown and beige adipose tissues are innervated by Runx3/PV sensory neurons

physiology↗

bioRxiv2024

Subtypes and proliferation patterns of small intestine neuroendocrine tumors revealed by single cell RNA sequencing

Neuroendocrine tumors (NETs) occur primarily in the small intestine, lung and pancreas. Due to their rarity compared to other malignancies in these organs, their complex biology remains poorly understood, including their oncogenesis, tumor composition and the intriguing phenomena of mixed neuroendocrine non-neuroendocrine neoplasms (MiNEN). Here we profiled ten low-grade small intestine NET (SiNET) samples as well as one mixed lung tumor by single-cell or single-nuclei RNA-seq. We find that SiNETs are largely separated into two distinct subtypes, in which the neuroendocrine cells upregulate epithelial or neuronal markers, respectively. Surprisingly, in both subtypes the neuroendocrine cells are largely non-proliferative while higher proliferation is observed in multiple non-malignant cell types. Specifically, B and plasma cells are highly proliferative in the epithelial-like SiNET subtype, potentially reflecting the outcome of high Migration Inhibitory Factor (MIF) expression in those tumors, which may constitute a relevant target. Finally, our analysis of a mixed lung neuroendocrine tumor identifies a population of putative progenitor cells that may give rise to both neuroendocrine and non-neuroendocrine (squamous) cells, potentially explaining the origin of the mixed histology. Taken together, our results provide important insights and hypotheses regarding the biology of neuroendocrine neoplasms.

cancer biology↗

bioRxiv2024

An unconventional interaction interface between the peroxisomal targeting factor Pex5 and Eci1 enables PTS1 independent import

Accurate and regulated protein targeting to organelles is crucial for eukaryotic cellular function and homeostasis. This has driven the evolution of targeting signals on proteins and the targeting factors that recognize them. One example for this is peroxisomal matrix proteins, the majority of which rely on the targeting factor Pex5 to correctly localize and function. While most Pex5 cargos contain a Peroxisomal Targeting Signal type 1 (PTS1), in recent years it has become clear that more binding interfaces exist, and that targeting by Pex5 is more complex than previously thought. Here, we uncover that the matrix protein Eci1 can reach peroxisomes in the absence of its PTS1. By solving the structure of a complex between full length yeast Pex5 and Eci1 using Cryo-Electron Microscopy, we could identify their binding interfaces. This allowed us to map an additional binding interface that is independent of the canonical PTS1-mediated binding site. Our work brings forward a solution to a long-standing mystery regarding Eci1 targeting to peroxisomes. More globally, it demonstrates the intricate and complex nature of organelle targeting and how it has evolved to serve the complex eukaryotic environment.

cell biology↗

bioRxiv2022

Determining the targeting specificity of the selective peroxisomal targeting factor Pex9

Targeting proteins to their correct cellular location is a fundamental process that allows them to carry out their cellular functions. Peroxisomes utilize two paralog targeting factors, Pex5 and Pex9, for proteins with a Peroxisomal Targeting Signal 1 (PTS1). However, in spite of their similarity, Pex9 targets only a subset of Pex5 cargo proteins. Here, we studied the properties that facilitate the targeting specificity of Pex9, both by unbiased screens and by site-directed mutagenesis of the PTS1 motifs of either binders or non-binders. We find that the binding specificity of Pex9 is largely determined by the hydrophobic nature of the amino acid preceding the PTS1 tripeptide of its cargos. This is in line with structural modeling of the PTS1-binding cavity of the two factors, showing that while Pex5 has large negative electrostatic patches at the area surrounding the PTS1 binding cavity, Pex9 is mostly hydrophobic. Our work outlines the mechanism by which targeting specificity is achieved, enabling dynamic rewiring of the peroxisomal proteome in changing metabolic needs.

cell biology↗

bioRxiv2021

The transcriptional hallmarks of intra-tumor heterogeneity across a thousand tumors

Each tumor contains malignant cells that differ in genotype, phenotype, and in their interactions with the tumor micro-environment (TME). This results in distinct integrated cellular states that govern intra-tumor heterogeneity (ITH), a central challenge of cancer therapeutics. Dozens of recent studies have begun to describe ITH by single cell RNA-seq, but each study typically profiledonly a small number of tumors and provided a narrow view of transcriptional ITH. Here, we curate, annotate and integrate the data from 77 different studies to reveal the patterns of ITH across 1,163 tumor samples covering 24 tumor types. Focusing on the malignant cells, we find thousands of transcriptional ITH programs that can be described by 41 consensus meta-programs (MPs), each consisting of dozens of genes that are coordinately upregulated in subpopulations of cells within many different tumors. The MPs cover diverse cellular processes and differ in their cancer-type distribution. General MPs associated with processes such as cell cycle and stress vary within most tumors, while context-specific MPs reflect the unique biology of particular cancer types, often resembling developmental cell types and suggesting the co-existence of variable differentiation states within tumors. Some of the MPs are further associated with overall tumor proliferation or immune state, highlighting their potential clinical significance. Based on functional similarities among MPs, we propose a set of 11 hallmarks that together account for the majority of observed ITH programs. Given the breadth and scope of the investigated cohort, the MPs and hallmarks described here reflect the first comprehensive pan-cancer description of transcriptional ITH.

cancer biology↗

bioRxiv2021

Systematic multi-level analysis of an organelle proteome reveals new peroxisomal functions

Seventy years following the discovery of peroxisomes, their proteome remains undefined. Uncovering the complete peroxisomal proteome, the peroxi-ome, is crucial for understanding peroxisomal activities and cellular metabolism. We used high-content microscopy to uncover the peroxi-ome of the model eukaryote - Saccharomyces cerevisiae. This strategy enabled us to expand the known organellar proteome by [~]40% and paved the way for performing systematic, whole-organellar proteome assays. Coupled with targeted experiments this allowed us to discover new peroxisomal functions. By characterizing the sub-organellar localization and protein targeting dependencies into the organelle, we unveiled non-canonical targeting routes. Metabolomic analysis of the peroxi-ome revealed the role of several newly-identified resident enzymes. Importantly, we found a regulatory role of peroxisomes during gluconeogenesis, which is fundamental for understanding cellular metabolism. With the current recognition that peroxisomes play a crucial part in organismal physiology, our approach lays the foundation for deep characterization of peroxisome function in health and disease.

cell biology↗