Biology subjects

Ninov, N.

Publications and source records attributed to Ninov, N..

7 recordsLinked to original sources

bioRxiv2026

Pre-existing chromatin accessibility primes δ-cells for injury-induced endocrine plasticity

Adult zebrafish rapidly recover glucose homeostasis after {beta}-cell loss, but the cellular basis and regulatory mechanisms that enable this response remain unclear. Here we combine single-cell transcriptomics, single-cell chromatin accessibility profiling, paired multiome analysis and functional perturbation to define early pancreatic recovery after {beta}-cell ablation. We show that, during the first month after injury, insulin production is restored predominantly by sst1.1+ {delta}1-cells rather than by rapid reconstitution of canonical {beta}-cells. Following ablation, {delta}1-cells adopt a bihormonal hybrid state and induce metabolic, secretory and {beta}-cell-associated gene programs. Systematic comparison of chromatin accessibility across endocrine cell types reveals that these {delta}1-cells are uniquely close to {beta}-cells and exhibit open chromatin at {beta}-cell enhancers in the steady state. Moreover, hybrid-cell formation occurs without major chromatin remodeling, with {beta}-cell associated loci being already accessible in {delta}1-cells before {beta}-cell injury. A comparable permissive state is present in medaka but not in human {delta}-cells, suggesting that restricted insulin accessibility may represent a barrier to endocrine plasticity in the human pancreas. In zebrafish, {delta}1-cells also show evidence of metabolic remodeling after {beta}-cell loss, including rapid accumulation of neutral lipids. Gene regulatory network analysis and perturbation identify meis1a/b as required regulators of {delta}1 hybrid-cell formation after {beta}-cell loss in zebrafish, whereas meis1a/b are not upregulated following {beta}-cell ablation in medaka. Together, our results define pre-existing chromatin accessibility, metabolic remodeling and instructive transcriptional regulation as key features of early functional recovery after {beta}-cell loss in the adult zebrafish pancreas.

developmental biology↗

bioRxiv2024

Macrophage crosstalk with neural progenitors and fibroblasts controls regenerative neurogenesis via Sema4ab after spinal cord injury in zebrafish

Zebrafish, in contrast to mammals, regenerate neurons after spinal cord injury, but little is known about the control mechanisms of this process. Here we use scRNA-seq and in vivo experiments to show that sema4ab, mainly expressed by lesion-reactive microglia, attenuates regenerative neurogenesis by changing the complex lesion environment. After spinal injury, disruption of sema4ab doubles the number of newly generated progenitor cells and neurons but attenuates axon regrowth and recovery of swimming function. Disruption of the plxnb1a/b receptors, selectively expressed by neural progenitor cells, increases regenerative neurogenesis. In addition, disruption of sema4ab alters activation state and cytokine expression of microglia, such that fibroblasts increase expression of the cytokine tgfb3, which strongly promotes regenerative neurogenesis. Hence, sema4ab in microglia attenuates regenerative neurogenesis in multiple ways, likely directly through plxnb1a/b receptors and indirectly, by controlling the inflammatory milieu and tgfb3 levels. Targeting Sema4A-dependent signalling in non-regenerating vertebrates may be a future strategy to improve regenerative outcomes. HIGHLIGHTS- Microglia suppress pro-regenerative fibroblast signalling in a spinal injury site - Fibroblasts promote regenerative neurogenesis via Tgfb3 signalling - sema4ab promotes microglia activation state after spinal injury - scRNA-seq reveals full complement of sema4ab-dependent changes on different cell types during repair of a spinal lesion site

neuroscience↗

bioRxiv2022

Conserved reduction of m6A marks during aging and neurodegeneration is linked to altered translation of synaptic transcripts

N6-methyladenosine (m6A) plays diverse roles in the regulation of mRNA metabolism. In the mammalian brain it has been linked to developmental processes and memory function. However, the precise role of m6A in the context synaptic plasticity and especially during impaired cognition are not fully understood. Here, we describe the mouse and human brain m6A epi-transcriptome in a tissue-specific manner. We furthermore show that m6A levels undergo a massive decrease across mouse brain regions as a consequence of aging. In addition, Alzheimer's disease in humans correlates with decreased N6-methylation in a similar population of transcripts that are linked to synaptic function and localized to synapses, such as the calcium/calmodulin-dependent kinase II (CaMKII). We furthermore show that reduced m6A levels impair synaptic protein-synthesis of CAMKII. Our results suggest that m6A-RNA-methylation is an important mechanism to control synaptic protein synthesis which is affected early in cognitive diseases. Significance statementThe addition of N6-methyladenosine (m6A) to RNA plays a role in various cellular processes and its de-regulation has been linked to several devastating diseases. The precise role of m6A RNA-methylation in the adult brain is, however, not well understood. In our study, we describe the genome-wide m6A epi-transcriptome in the healthy and diseased brains of mice and humans. Our data demonstrate that a substantial amount of m6A transcripts are conserved. These transcripts are linked to the regulation of synaptic processes and are localized to synapses. In the diseases brain we detect RNA hypomethylation across multiple transcripts in all investigated brain regions and across species. At the mechanistic level we find that reduced m6A levels specifically impairs synaptic protein-synthesis.

neuroscience↗

bioRxiv2022

A novel missense mutation in the proprotein convertase gene furinb causes hepatic cystogenesis during liver development in zebrafish

Hepatic cysts are fluid-filled lesions in the liver that are estimated to occur in 5% of the population. They may cause hepatomegaly and abdominal pain. Progression to secondary fibrosis, cirrhosis, or cholangiocarcinoma can lead to morbidity and mortality. Previous studies of patients and rodent models have associated hepatic cyst formation with increased proliferation and fluid secretion in cholangiocytes, which are partially due to impaired primary cilia. Congenital hepatic cysts are thought to originate from faulty bile duct development, but the underlying mechanisms are not fully understood. In a forward genetic screen, we identified a zebrafish mutant that develops hepatic cysts during larval stages. Cyst formation in these mutants is not due to changes in biliary cell proliferation, bile secretion, or impairment of primary cilia. Instead, time-lapse live imaging data showed that the mutant biliary cells failed to form interconnecting bile ducts because of defects in motility and protrusive activity. Accordingly, immunostaining revealed an excessive and disorganized actin and microtubule cytoskeleton in the mutant biliary cells. By whole-genome sequencing, we determined that the cystic phenotype in the mutant was caused by a missense mutation in the furinb gene which encodes a proprotein convertase. The mutation alters Furinb localization and causes endoplasmic reticulum (ER) stress. The cystic phenotype could be suppressed by treatment with the ER stress inhibitor 4-phenylbutyric acid and exacerbated by treatment with the ER stress inducer tunicamycin. The mutant livers also exhibited increased mTOR signaling and treatment with the mTOR inhibitor rapamycin partially blocked cyst formation by reducing ER stress. Our study has established a novel vertebrate model for studying hepatic cystogenesis and illustrated the role of ER stress in the disease pathogenesis.

developmental biology↗

bioRxiv2021

A single-cell atlas of de novo β-cell regeneration reveals the contribution of hybrid β/δ cells to diabetes recovery in zebrafish

Regeneration-competent species possess the ability to reverse the progression of severe diseases by restoring the function of the damaged tissue. However, the cellular dynamics underlying this capability remain unexplored. Here, we use single-cell transcriptomics to map de novo {beta}-cell regeneration during induction and recovery from diabetes in zebrafish. We show that the zebrafish has evolved two distinct types of somatostatin-producing {delta}-cells, which we term {delta}1- and {delta}2-cells. Moreover, we characterize a small population of glucose-responsive islet cells, which share the hormones and fate-determinants of both {beta}- and {delta}1-cells. The transcriptomic analysis of {beta}-cell regeneration reveals that {beta}/{delta} hybrid cells constitute a prominent source of insulin-expression during diabetes recovery. Using in vivo calcium imaging and cell tracking, we further show that the hybrid cells form de novo and acquire glucose-responsiveness in the course of regeneration. The overexpression of dkk3, a gene enriched in hybrid cells, increases their formation in the absence of {beta}-cell injury. Finally, interspecies comparison shows that plastic {delta}1-cells are partially related to PP-cells in the human pancreas. Our work provides an atlas of {beta}-cell regeneration and indicates that the rapid formation of glucose-responsive hybrid cells contributes to the resolution of diabetes in zebrafish

developmental biology↗

bioRxiv2020

Sexually dimorphic roles for the type 2 diabetes-associated C2cd4b gene in murine glucose homeostasis

Variants close to the VPS13C/C2CD4A/C2CD4B locus are associated with altered risk of type 2 diabetes in genome-wide association studies. Whilst previous functional work has suggested roles for VPS13C and C2CD4A in disease development, none has explored the role of C2CD4B. Here, we show that systemic inactivation of C2cd4b in mice leads to marked, but highly sexually dimorphic, changes in body weight and glucose homeostasis. Female C2cd4b mice display unchanged body weight but abnormal glucose tolerance and defective in vivo, but not in vitro, insulin secretion, associated with a marked decrease in follicle stimulating hormone levels. In sharp contrast, male C2cd4b null mice displayed normal glucose tolerance but an increase in body weight and fasting glycemia after maintenance on high fat diet. No metabolic disturbances were observed after global inactivation of C2cd4a in mice, or in pancreatic {beta} cell function at larval stages in C2cd4ab null zebrafish. These studies suggest that C2cd4b may act centrally to influence sex-dependent circuits which control pancreatic {beta} cell function and glucose tolerance in rodents. However, the absence of sexual dimorphism in the impact of diabetes risk variants argues for additional roles for C2CD4A or VPS13C in the control of glucose homeostasis in man.

genetics↗

bioRxiv2018

Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to detect premature aging could provide a window for preventive therapies against age-related diseases. However, the techniques for determining cellular age are limited, as they rely on a limited set of histological markers and lack predictive power. Here, we implement GERAS (GEnetic Reference for Age of Single-cell), a machine learning based framework capable of assigning individual cells to chronological stages based on their trans criptomes. GERAS displays greater than 90% accuracy in classifying the chronological stage of zebrafish and human pancreatic cells. The framework demonstrates robustness against biological and technical noise, as evaluated by its performance on independent samplings of single-cells. Additionally, GERAS determines the impact of differences in calorie intake and BMI on the aging of zebrafish and human pancreatic cells, respectively. We further harness the predictive power of GERAS to identify genome-wide molecular factors that correlate with aging. We show that one of these factors, junb, is necessary to maintain the proliferative state of juvenile beta-cells. Our results showcase the applicability of a machine learning framework to classify the chronological stage of heterogeneous cell populations, while enabling to detect pro-aging factors and candidate genes associated with aging.

bioinformatics↗