Biology subjects

Mirmira, R.

Publications and source records attributed to Mirmira, R..

3 recordsLinked to original sources

bioRxiv2022

Meta-analysis refinement of plasma extracellular vesicle composition identifies proplatelet basic protein as a signaling messenger in type 1 diabetes

Extracellular vesicles (EVs) play important roles in cell-to-cell communication and are potential biomarkers as they carry markers of their derived tissues and disease signatures. However, obtaining pure EV preparations from biofluids is challenging due to contaminants with similar physicochemical properties. Here, we performed a meta-analysis of plasma EV proteomics data deposited in public repositories to refine the protein composition of EVs and investigate potential roles in type 1 diabetes development. With the concept that each purification method yields different proportions of distinct contaminants, we grouped proteins into clusters based on their abundance profiles. This allowed us to separate clusters with classical EV markers, such as CD9, CD40, C63 and CD81, from clusters of well-known contaminants, such as serum albumin, apolipoproteins and components of the complement and coagulation pathways. Two clusters containing a total of 1720 proteins combined were enriched with EV markers and depleted in common contaminants; therefore, they were considered to contain bona fide EV components. As possible origins of plasma EVs, these clusters had markers of tissues such as spleen, liver, brain, lungs, pancreas, and blood/immune cells. These clusters were also enriched in cell surface markers CD antigens, and proteins from cell-to-cell communication and signaling pathways, such as chemokine signaling and antigen presentation. We also show that the EV component and type 1 diabetes biomarker, platelet basic protein (PPBP/CXCL7) regulates apoptosis in both beta and macrophage cell lines. Overall, our meta-analysis refined the composition of plasma EVs, reinforcing a primary function as messengers for cell-to-cell communication and signaling. Furthermore, this analysis identifies optimal avenues to target EVs for development of disease biomarkers.

cell biology↗

bioRxiv2022

Arginine-dependent hypusination of the eukaryotic translation initiation factor (eIF)5A drives erythroid lineage differentiation

Metabolic programs contribute to hematopoietic stem and progenitor cell (HSPC) fate but it is not known whether the metabolic regulation of protein synthesis controls HSPC differentiation. We discovered that SLC7A1/CAT1-dependent arginine uptake and its catabolism to spermidine control the erythroid specification of HSPCs via activation of eukaryotic translation initiation factor 5A (eIF5A). eIF5A activity is dependent on the metabolism of spermidine to hypusine and inhibiting hypusine synthesis abrogates erythropoiesis and diverts EPO-stimulated HSPCs to a myeloid fate. Proteomic profiling reveals mitochondrial translation to be a critical target of hypusinated eIF5A and induction of mitochondrial function partially rescues erythropoiesis in the absence of hypusine. Within the hypusine network, ribosomal proteins are highly enriched and we identify defective eIF5A hypusination in erythroid pathologies caused by abnormal ribosome biogenesis. Thus, eIF5A-dependent protein synthesis is critical in the branching of erythro-myeloid differentiation and attenuated eIF5A activity characterizes ribosomal protein-linked disorders of ineffective erythropoiesis.

physiology↗

bioRxiv2020

Drosophila RASopathy Models Identify Disease Subtype Differences and Biomarkers of Drug Efficacy

RASopathies represent a family of mostly autosomal dominant diseases that are caused by missense variants in the RAS/MAPK pathway. In aggregate, they are among the more common Mendelian disorders. They share overlapping pathologies that include structural birth and developmental defects that affect the heart, craniofacial and skeletal, lymphatic, and nervous systems. Variants in different genes--including those encoding KRAS, NRAS, BRAF, RAF1, and SHP2--are associated with overlapping but distinct phenotypes. Here, we report an analysis of 13 Drosophila transgenic lines, each expressing a different human disease isoform associated with a form of RASopathy. Similar to their human counterparts, each Drosophila line has common aspects but also important phenotypic distinctions including signaling pathways as well as response to therapeutics. For some lines, these differences represent activation of pathways outside the core RAS signaling pathway including the Hippo and SAPK/JNK signaling networks. We identified two classes of clinically relevant drugs, statins and histone deacetylase inhibitors, that improved viability across most RASopathy lines; in contrast, several canonical RAS pathway inhibitors proved poorly effective against, e.g., SHP2-expressing lines encoded by PTPN11. Our study provides a whole animal platform for comparison of a large number of RASopathy-associated variants. Among these variants we have identified differences in tissue phenotypes, in activation signaling pathways in biomarkers of disease progression and drug efficacy, and suggest drug classes that can be tolerated over long treatment periods for consideration in broad RASopathy trials.

developmental biology↗