Biology subjects

Othman, A.

Publications and source records attributed to Othman, A..

At least 19 recordsLinked to original sources

bioRxiv2026

The protein and lipid compositions of brain apolipoprotein E particles are cell type-specific

Genetic variation in APOE, which encodes a lipid transporter apolipoprotein E (apoE), is the strongest risk factor for late-onset Alzheimer's disease (AD). Although central nervous system (CNS) apoE is produced by various cell types, including astrocytes, microglia, and pericytes, it is unclear whether apoE lipoproteins are a homogeneous population or if their molecular composition varies depending on their cellular origin. Emerging evidence suggests that CNS apoE lipoproteins contribute to AD-related processes, including amyloid deposition, neuroinflammation, synaptic maintenance, and blood-brain barrier function in a cell type-specific manner. We hypothesized that the compositions of CNS apoE lipoproteins depend on their cellular origin and investigated the lipid and protein profiles of apoE particles secreted by induced pluripotent stem cell (iPSC)-derived brain cells and derived from human cerebrospinal fluid (CSF) using liquid chromatography-mass spectrometry (LC-MS/MS). Our results demonstrate that astrocytes, pericytes, and microglia secrete apoE lipoproteins with distinct, cell type-specific lipid and protein profiles. Astrocyte-secreted particles were enriched in sphingomyelins and proteins linked to lipid metabolism, whereas pericyte-secreted particles contained ether-linked phospholipids and proteins associated with antioxidant activity. The lipidation of microglial apoE was markedly lower, but these particles had higher levels of transferrin, apoC-II, and cathepsin D. Notably, one-third of identified features were cell type-specific, highlighting the substantial molecular specialization across cell types. Most lipids and proteins identified in cell-secreted apoE were also detected in CSF-derived particles. Our findings advance the understanding of apoE biology by shifting the focus from apoE as a single, homogeneous entity to a diverse population of complex particles, the composition of which might be linked to functions in health and neurodegenerative diseases.

neuroscience↗

bioRxiv2026

qg: Configuration-Driven, Multi-Vendor Acquisition Queue Generation with Reproducible Run-Order and QC Control for Mass Spectrometry

Mass spectrometry laboratories must turn lists of submitted samples into acquisition queues. The run order and the placement of quality-control (QC) injections determine whether a design controls batch effects and signal drift, and whether those effects stay correctable afterward. Yet operators usually set them by hand in vendor worklist editors that neither randomize run order nor offer configurable, pattern-driven QC. We present qg, an open-source tool that builds acquisition queues with systematic run-order handling: four run-order modes (none, simple, blocked/randomized-complete-block, and group-uniform blocked), pattern-driven QC and standard injections, and sampler- and plate-aware positioning. Unlike plate-design tools that stop at a generic sample sheet, qg writes the native vendor acquisition file directly, for three instrument ecosystems (Thermo Fisher XCalibur, Axel Semrau Chronos, Bruker HyStar) across proteomics, metabolomics, and lipidomics. It separates a small, stateless generation pipeline from a declarative configuration layer, so a laboratory adapts instruments, QC patterns, layouts, and naming by editing version-controlled configuration through a validating editor rather than changing code. qg runs from a reactive web interface or a scripted command-line interface, integrated with a LIMS (B-Fabric) or standalone from uploaded tables; randomized runs record their seed and reproduce from exported parameters. On an unbalanced design, group-uniform blocked randomization spreads biological groups evenly across acquisition time, whereas textbook block randomization leaves a tail of the largest group and can track acquisition time worse than a plain shuffle. qg is released under the Apache-2.0 license.

bioinformatics↗

bioRxiv2026

The COPI coatomer influences LDL receptor activity, hepatic lipid storage, and apoB secretion

BackgroundDecreased hepatic removal of low density lipoproteins (LDL) and increased apolipoprotein B (apoB) production cause hypercholesterolemia, a major causal risk factor of atherosclerotic cardiovascular disease (ASCVD). By a genome-wide siRNA screen, we previously identified subunits of the Coat protein I (COPI) complex to limit LDL uptake into Huh-7 hepatocarcinoma cells. MethodsThese findings were validated by targeted in vitro experiments as well as genetic association studies in humans and three mouse models with mutated or disrupted COPI genes. ResultsSilencing of COPA, COPB1, COPB2, ARCN1, COPG1, and COPZ1 in Huh-7 cells resulted in decreased uptake of LDL and aberrant glycosylation and altered cell surface abundance of the LDL receptor (LDLR) as well as increased apoB secretion and cellular lipid storage. Single nucleotide polymorphisms of ARCN1 were associated with lower ARCN1 expression and higher levels of LDL-cholesterol (LDL-C). Rare variants of COPA and COPG1 were enriched among patients with LDL-C > 5 mmol/L. Patients and mice carrying other rare immunopathogenic missense variants of COPA and COPG1 did not present with elevated plasma levels of LDL-C, while hepatic knockdown of murine Copg1 increased the concentrations of non-HDL-cholesterol in plasma and triglycerides in the liver. ConclusionsThe COPI coatomer regulates LDLR activity and apoB secretion as well as lipid content of liver cells. Loss of function of some variants of COPI genes are associated with higher LDL-C levels.

cell biology↗

bioRxiv2026

Tumor Cell Death Drives Tumor-Promoting IL-6+ iCAF formation via P2X7-activation

Chemotherapy resistance in pancreatic ductal adenocarcinoma is commonly attributed to tumor cell-intrinsic mechanisms, yet how cytotoxic therapy reshapes the tumor microenvironment remains incompletely understood. Here we show that PDAC cells exposed to cytotoxic agents reprogram pancreatic stellate cells toward an inflammatory cancer-associated fibroblast phenotype. Mechanistically, chemotherapy triggers the release of ATP from dying PDAC cells, which activates P2X7 signaling in PSCs in a paracrine manner, leading ERK activation and inflammatory polarization. In turn, therapy-educated PSCs promote tumor cell proliferation, induce resistance-associated transcriptional programs and impair CD8 T cell-mediated cytotoxicity in an IL-6-dependent manner. Pharmacological inhibition of P2X7 suppressed stromal IL-6 induction and enhanced gemcitabine efficacy in vivo. These findings identify a therapy-induced ATP-P2X7-IL-6 axis that links tumor cell death to stromal reprogramming and adaptive resistance in PDAC.

cancer biology↗

bioRxiv2025

Immunoglobulin G binding as a quantitative marker of hepatocellular death across acute and chronic liver injury

Background & AimsAccurate detection of hepatocellular death is fundamental for understanding liver injury, intoxication, regeneration, and fibrosis. Conventional markers, such as serum transaminases and histopathological scoring, suffer from limited temporal resolution, high variability, and observer dependence. We evaluated immunoglobulin G (IgG) binding as a quantitative and spatially resolved marker of hepatocyte death in acute and chronic liver injury models. MethodsMale C57BL/6 mice were subjected to acute carbon tetrachloride (CCl) intoxication (1600 mg/kg, single dose), dose-escalation (0-800 mg/kg), and chronic injury paradigms including Western diet (WD), WD+CCl, and Mdr2-/- mice with or without a single CCl challenge. The serum ALT and AST levels were measured. Liver sections were stained with IgG, Hematoxylin and Eosin (H&E), bromodeoxyuridine (BrdU), glutamine synthetase (GS), CD26, and alpha-smooth muscle actin (Acta2). Spatial and integrative transcriptomic analyses were performed to characterize the IgG hepatocyte dead regions. ResultsHepatocellular IgG labeling emerged as early as 6h post-CCl, peaked at 72-96h, and declined during regeneration. IgG-positive areas correlated strongly with Ishak necroinflammatory score (r=0.70) and serum transaminase levels (p=0.74-0.85), surpassing both in Receiver Operating Characteristic (ROC) analyses (AUC=0.92-0.95). IgG bound to both apoptotic (TUNEL) and necrotic (TUNEL-) hepatocytes. In chronic liver injury models, IgG deposition was localized to the injury zones and correlated with ALT/AST, irrespective of etiology. Multiplex imaging revealed IgG-positive necrotic cores surrounded by proliferating hepatocytes and Acta2+ myofibroblasts. Spatial transcriptomics identified immune cell enrichment, Fc{gamma}R-mediated signaling, phagocytosis, and vascular remodeling within the IgG-marked regions. ConclusionsIgG immunostaining provides a robust, quantitative, and pathologist-independent readout of hepatocellular death, which scales with injury severity, delineates necrotic zones, and reveals immune-active microenvironments. These findings establish IgG-based detection as a versatile, high-resolution tool for assessing liver injury, regeneration, and fibrosis. Conflict of Interest declarationThe authors declare that they have no affiliations with or involvement in any organization or entity with any financial interest in the subject matter or materials discussed in this manuscript. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/690787v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@1d9b05eorg.highwire.dtl.DTLVardef@ca2ad8org.highwire.dtl.DTLVardef@c2d384org.highwire.dtl.DTLVardef@cca46d_HPS_FORMAT_FIGEXP M_FIG C_FIG Liver injury induced by toxins, dietary stress, or genetic knockout provokes chemokine release (i.e. CXCL1, CXCL2, and CCL3) and recruitment of immune cells, including T cells, NK cells (NKs), and dendritic cells (DCs). Activated immune cells secrete IgG, which binds to damaged hepatocytes, leading to IgG deposition and opsonization. Opsonized hepatocytes expose "eat me" signals, promoting their phagocytic clearance and contributing to the resolution of liver injury and restoration of hepatic homeostasis.

cell biology↗

bioRxiv2025

Myeloid cell protein tyrosine phosphatase 1B (PTP1B) drives retinal neurodegeneration in diabetic mice

Diabetic retinopathy (DR) is the leading cause of vision loss in the working age population with public health economic implications worldwide. Systemic inflammation and leukocyte activation are early events in diabetes, while microglial activation, neuroinflammation, and retinal neurodegeneration are early events in DR. Protein tyrosine phosphatase 1B (PTP1B) plays a complex role in monocyte / macrophage activation which may impact DR. We therefore investigated the role of myeloid cell-specific PTP1B using LysMcre-PTP1B fl/fl (LysM-PTP1B) mice, as well as a PTP1B inhibitor, MSI-1436, in the early stages of DR. Mice were rendered diabetic for six weeks using anomer-equilibrated streptozotocin (STZ). Retinal changes were evaluated by histology and immunohistochemistry, and systemic leukocyte activation by flow cytometry. Mitochondrial function in high glucose-challenged, cultured bone marrow-derived macrophages (BMDMs) from LysM-PTP1B and MSI-I436-treated mice was determined in vitro. Both myeloid cell-specific depletion and pharmacological inhibition of PTP1B prevent STZ-induced retinal neurodegeneration, development of acellular retinal capillaries, as well as microglial and systemic leukocyte activation without effect on development of diabetes. In vitro, inhibition of PTP1B prevented high glucose-induced mitochondrial dysfunction in BMDMs. We conclude that inhibition of PTP1B prevents DR by decreasing myeloid cell-driven inflammation and PTP1B represents a therapeutic target for prevention DR. HighlightsO_LIMyeloid cell PTP1B is required to induce retinal neurodegeneration in diabetes C_LIO_LIBoth local (microglia) and systemic (bone-marrow derived) myeloid cells are implicated C_LIO_LIInhibition of myeloid cell PTP1B prevents development of acellular retinal capillaries in diabetic mice C_LIO_LIPTP1B mediates superoxide production, decreases mitochondrial membrane potential and increases macrophages cell death in chronic conditions associated with abnormally high glucose. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/682409v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@d8f71dorg.highwire.dtl.DTLVardef@47c8bforg.highwire.dtl.DTLVardef@cc800dorg.highwire.dtl.DTLVardef@1eade18_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

Dyslipidemic SPTLC3 Integrates Bile Acid-FXR Signaling with Sphingolipid Remodeling in MASLD

Molecular mechanisms driving metabolic disease pathogenesis remain poorly understood. Genetic and functional studies implicate SPTLC3 with dyslipidemia. SPTLC3 synthesizes atypical long-chain bases (LCB) precursors for sphingolipid production. We demonstrate significant SPTLC3 expression in human liver. ORMDL1-3 regulate SPTLC3 post-translationally in hepatic and non-hepatic cells. Independently, farnesoid X receptor (FXR) represses hepatic SPTLC3 transcription via a negative promoter element. In mice, high-fat diet (HFD) induced whereas bile acids normalized hepatic SPTLC3 transcription. SPTLC3 derived LCBs in plasma originate from the liver and are elevated in HFD-fed mice and in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Cross-species comparison revealed marked differences in LCB composition between mice and humans. Notably, omega-3-methylsphingosine (meC18SO) was significantly associated with MASLD in humans but undetectable in mice. In Huh7 cells, meC18SO enhanced complex II and IV activity, oxygen consumption, and mitochondrial ROS content. FXR-SPTLC3 axis and presented findings have potential implications for future translational research.

biochemistry↗

bioRxiv2025

PKA regulates stress granule maturation to allow timely recovery after prolonged starvation

Cells have evolved multiple strategies to survive environmental stress conditions. This includes the formation of membrane-less cytoplasmic ribonucleoprotein structures called stress granules (SGs) that sequester and protect mRNAs encoding many housekeeping genes. SGs are not static biomolecular condensates but transform into solid states during a maturation phase. Although SG maturation is a hallmark of many neurodegenerative pathologies, little is known about the mechanisms and physiological relevance underlying the maturation process. Here we show that yeast SGs mature into a solid-like state during long-term stationary phase stress, which delays SG disassembly and cell cycle restart. Profiling of phosphorylation sites during stationary phase revealed that SG maturation is driven by protein kinase A (PKA)-dependent phosphorylation of the SG proteome. Indeed, upon stationary phase the catalytic PKA subunits condense in SGs where they maintain kinase activity, while during this time cytoplasmic PKA is inhibited. PKA-mediated phosphorylation of key SG components, like the pyruvate kinase Cdc19, is necessary and sufficient for its timely accumulation in SGs, where Cdc19 assembles into amyloid-like structures. Importantly, inhibiting PKA during long-term stationary phase prevents SG maturation, delaying ordered re-start of cell growth after re-feeding. Taken together, these results describe a SG maturation mechanism, selectively activated during chronic stress, that preserves SG integrity and promotes cell survival. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=164 HEIGHT=200 SRC="FIGDIR/small/663161v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@19c4d82org.highwire.dtl.DTLVardef@a4cf27org.highwire.dtl.DTLVardef@1c2577org.highwire.dtl.DTLVardef@1dfe84f_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIStress granules mature during chronic stress such as long-term stationary phase C_LIO_LIPhosphorylation of SG components by PKA is a hallmark of SG maturation C_LIO_LIPhosphorylation of Cdc19 by PKA promotes its maturation into an amyloid-like state C_LIO_LISG maturation acts as a timer for recovery after chronic stress C_LI

cell biology↗

bioRxiv2025

Metabolic Origins of Neurotoxic 1-deoxySphingolipids in Type 2 Diabetes

Type 2 diabetes (T2D) and diabetic peripheral neuropathy (DPN) are associated with disruptions in sphingolipid (SL) metabolism, including an increased formation of neurotoxic 1-deoxysphingolipids (1-deoxySL). Here we report data from an untargeted proteomics, lipidomics and metabolomics profiling in plasma and skin samples of a carefully characterized T2D cohort and age-matched healthy controls. We investigated the association between plasma and skin amino acids and the sphingolipidome in blood and skin of T2D patients and several diabetic rodent models. We developed a hypothesis on how changes in the metabolism of the two amino acids relates to SL formation and DPN. To test this hypothesis and identify key enzymes responsible for the 1-deoxySL formation we developed stable isotope based SL flux assays, using UC13Glucose, 15NGlutamine, D4-Palmitic acid, D4-Alanine and D3N15-Serine as tracers. In combination with genetic interference approaches, we identified pathways that are responsible for shifting between the formation of 1-deoxySL and canonical SL in T2D. Furthermore, we verified these findings in vivo in several rodent models. This study links disturbances in amino acids, lipids, and protein homeostasis to DPN in T2D.

neuroscience↗

bioRxiv2025

Circulating extracellular vesicles can transport stress signals to the male germline

Extracellular vesicles (EVs) play a key role in cell-cell communication by transporting bioactive molecules from donor to recipient cells across the body. While their involvement in somatic cells communication is well described, somatic-to-germ cells communication remains understudied. We show that small EVs (sEVs) can vehicle signals of early life stress (ELS) from circulation to sperm consequentially for the offspring. In mice, ELS persistently modifies RNA, lipids and metabolites in plasma sEVs. Chronic injection of plasma sEVs from ELS-exposed males alters the sperm transcriptome and is reflected in the transcriptome of embryos. This leads to metabolic dysfunctions in the adult offspring. These findings highlight a role of circulating sEVs in soma-to-germline communication relevant for the intergenerational transmission of ELS effects.

cell biology↗

bioRxiv2023

Complete Chloroplast Genome of a Montane Plant Spathoglottis aurea Lindl.: Comparative Analyses and Phylogenetic Relationships among members of Tribe Collabieae

The yellow-flowered Spathoglottis aurea (tribe Collabieae; family Orchidaceae) is native to the mountainous areas of Peninsular Malaysia. The species is well known as an ornamental plant and for its role in artificial hybrid breeding. There is an interesting evolutionary relationship between S. aurea and the geographically isolated S. microchilina from Borneo that has encouraged further study of the S. aurea populations, but the genomic resource for S. aurea has not yet been reported. The present study reports the first work to characterize a chloroplast genome among the Spathoglottis genus. The complete chloroplast (cp) genome of S. aurea was assembled from a sequence generated by the Illumina platform and analysed in comparison with other Collabieae species available in the GenBank database. The cp genome of S. aurea is 157,957 base pairs (bp) in length with guanine-cytosine (GC) content of 37.3%. The genome possessed a typical quadripartite chloroplast genome structure with large single-copy (LSC) (86,888 bp), small single-copy (SSC) (18,125 bp) and inverted repeat (IR) (26,472 bp) sequences. A total of 134 genes were annotated, with 88 protein coding genes (PCGs), 38 transfer RNA (tRNA) genes and eight ribosomal RNA (rRNA) genes. Overall, 80 simple sequence repeats (SSR) or microsatellites were identified. Comparative analysis with other Collabieae species revealed high conservation in the cp genome arrangements with minimal difference in genome lengths. However, several mutational hotspots were also detected, with high potential to be developed as genetic markers for phylogenetic analysis. Characterization of the S. aurea cp genome revealed its conserved nature without gene loss or rearrangements when compared to other species of the Collabieae tribe. Phylogenetic analysis of Collabieae species also revealed that S. aurea has a distant evolutionary relationship to other members of the Collabieae species, despite the presence of problematic genera such as Phaius and Cephalantheropsis.

molecular biology↗

bioRxiv2022

ROS induction as a strategy to target persister cancer cells with low metabolic activity in NRAS mutated melanoma

Metabolic reprogramming is an emerging hallmark of resistance to cancer therapy but may generate vulnerabilities that can be targeted with small molecules. Multi-omics analysis revealed that NRAS-mutated melanoma cells with a mesenchymal transcriptional profile adopt a quiescent metabolic program to resist cellular stress response induced by MEK-inhibitor resistance. However, as a result of elevated baseline ROS levels, these cells become highly sensitive to ROS induction. In vivo xenograft experiments and single-cell RNA sequencing demonstrated that intra-tumor heterogeneity requires the combination of a ROS-inducer and a MEK-inhibitor to target both tumor growth and metastasis. By ex vivo pharmacoscopy of 62 human metastatic melanomas, we found that MEK-inhibitor resistant tumors significantly benefitted from the combination therapy. Finally, we profiled 486 cancer cell lines and revealed that oxidative stress responses and translational suppression are biomarkers of ROS-inducer sensitivity, independent of cancer indication. These findings link transcriptional plasticity to a metabolic phenotype that can be inhibited by ROS-inducers in melanoma and other cancers. Statement of SignificanceTargeted-therapy resistance in cancer arises from genetic selection and both transcriptional and metabolic adaptation. We show that metabolic reprogramming sensitizes resistant cells to ROS-induction in combination with pathway inhibitors. Predictive biomarkers of metabolic sensitivity to ROS-inducing agents were identified in many cancer entities, highlighting the generalizability of this treatment approach. Graphical summary O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

cancer biology↗

bioRxiv2022

Structure of the connexin-43 gap junction channel reveals a closed sieve-like molecular gate

Gap junction channels (GJCs) mediate intercellular communication by connecting two neighboring cells and enabling direct exchange of ions and small molecules. Cell coupling via connexin-43 (Cx43) GJCs is important in a wide range of cellular processes in health and disease 1-3, yet the structural basis of Cx43 function and regulation has not been determined until now. Here we describe the structure of a human Cx43 GJC solved by cryo-EM and single particle analysis at 2.26 [A] resolution. The pore region of Cx43 GJC features several lipid-like densities per Cx43 monomer, located close to a putative lateral access site at the monomer boundary. We found a previously undescribed conformation on the cytosolic side of the pore, formed by the N-terminal domain and the transmembrane helix 2 of Cx43 and stabilized by a small molecule. Structures of the Cx43 GJC and hemichannels in nanodiscs reveal a similar gate arrangement. The features of the Cx43 GJC and hemichannel cryo-EM maps and the channel properties revealed by molecular dynamics simulations suggest that the captured states of Cx43 are consistent with a closed state.

biochemistry↗

bioRxiv2022

Repeated toxic injuries of murine liver are tolerated through microsteatosis and mild inflammation

The liver has a remarkable capacity to regenerate and thus compensates for repeated injuries through toxic chemicals, drugs, alcohol or malnutrition for decades. However, largely unknown is how and when alterations in the liver occur due to tolerable damaging insults. To that end, we induced repeated liver injuries over ten weeks in a mouse model injecting carbon tetrachloride (CCl4) twice a week. We lost 10% of the study animals within the first six weeks, which was accompanied by a steady deposition of extracellular matrix (ECM) regardless of metabolic activity of the liver. From week six onwards, all mice survived, and in these mice ECM deposition was rather reduced, suggesting ECM remodeling as a liver response contributing to better coping with repeated injuries. The data of time-resolved paired transcriptome and proteome profiling of 18 mice was subjected to multi-level network inference, using Knowledge guided Multi-Omics Network inference (KiMONo), identified multi-level key markers exclusively associated with the injury-tolerant liver response. Interestingly, pathways of cancer and inflammation were lighting up and were validated using independent data sets compiled of 1034 samples from publicly available human cohorts. A yet undescribed link to lipid metabolism in this damage-tolerant phase was identified. Immunostaining revealed an unexpected accumulation of small lipid droplets (microvesicular steatosis) in parallel to a recovery of catabolic processes of the liver to pre-injury levels. Further, mild inflammation was experimentally validated. Taken together, we identified week six as a critical time point to switch the liver response program from an acute response that fosters ECM accumulation to a tolerant "survival" phase with pronounced deposition of small lipid droplets in hepatocytes potentially protecting against the repetitive injury with toxic chemicals. Our data suggest that microsteatosis formation plus a mild inflammatory state represent biomarkers and probably functional liver requirements to resist chronic damage. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=163 HEIGHT=200 SRC="FIGDIR/small/476054v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@11ecc7aorg.highwire.dtl.DTLVardef@1027df5org.highwire.dtl.DTLVardef@9ba0f7org.highwire.dtl.DTLVardef@164f80a_HPS_FORMAT_FIGEXP M_FIG C_FIG The datasets generated via transcriptomics, proteomics as well as blood, histopathological and biochemical analysis were analyzed in an independent and integrative manner. The independent analysis was performed via state-of-the-art statistical approaches i.e. differential and consistently regulated genes and proteins. Combining the results identified three fibrosis phases. Using the KiMONo algorithm, a fibrosis specific multi-omic network was inferred. Within this network we identified several nodes connecting phase III specific features forming 13 distinct multi-omic modules suggesting a tolerance scheme. Some of these modules were experimentally validated and compared to 11 independent human studies of various liver diseases.

systems 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↗

bioRxiv2021

Epithelial-mesenchymal transition is the main driver of intrinsic metabolism in cancer cell lines

A fundamental feature of cancer cells is genomic heterogeneity. It is a main driver of phenotypic differences, including the response to drugs, and therefore a key factor in therapy selection. Motivated by the increasing role attributed to metabolic reprogramming in tumor development, we wondered how genomic heterogeneity affects metabolic phenotype. To this end, we profiled the intracellular metabolome of 180 cancer cell lines grown in similar conditions to exclude environmental factors. For each cell line, we estimate activity for 49 pathways across the whole metabolic network. Upon clustering of activity data, we found a convergence into only two major metabolic types. These were further characterized by 13C-flux analysis, lipidomics, and analysis of sensitivity to perturbations. These experiments revealed differences in lipid, mitochondrial, and carbohydrate metabolism between the two major types. Finally, a thorough integration of our metabolic data with multiple omics data revealed a strong association with markers of epithelial-mesenchymal transition (EMT). Our analysis indicates that in absence of variations imposed by the microenvironment, the metabolism of cancer cell lines falls into only two major classes despite genetic heterogeneity.

systems biology↗

bioRxiv2021

RNA nucleotide repeats induce mitochondrial dysfunction and the ribosome associated quality control

Nucleotide repeat sequences are prevalent in the genome and expansion of these sequences is associated with more than 40 neuromuscular disorders. To understand the pathogenic mechanisms underlying RNA-repeat toxicity, we performed a genetic screen in a Caenorhabditis elegans model expressing an expanded CUG repeat specifically in the muscle. Here, we show that expression of this RNA repeat impairs motility by mitochondrial dysfunction, disrupting mitochondrial morphology and respiration. The phenotype is dependent on the RNA-binding factor MBL-1 and requires factors from the ribosome-associated protein quality control complex. Furthermore, Coenzyme Q supplementation rescued the motility impairment and all of the mitochondrial phenotypes. Together, our data reveal the importance of mitochondrial dysfunction in the molecular pathogenesis of RNA repeat expansion disorders.

genetics↗

bioRxiv2020

All-in-one comprehensive extraction of metabolites, proteins and ribonucleic acids for the rapid analysis of oil palm systems biology

Oil palm (Elaeis guineensis Jacq.) systems biology offers a comprehensive view of the plant system by employing a holistic multi-omics approach encompassing the molecular data at various hierarchical levels. Sample limitation and the importance of integrating all molecular data with minimal variation, led to the development of sequential extraction of biomolecule fractions from a single undivided biological sample. This article describes a workflow for the comprehensive isolation of metabolites, proteins and ribonucleic acids from oil palm root. Samples were subjected to solvent extraction with methanol-chloroform-water to recover metabolites of diverse polarity. The resultant pellet was subjected to buffer and solvent partitioning to obtain RNA and proteins. RNA extracted from the oil palm root showed a recovery of 180.25 ng mg-1, with a A260:A280 ratio ranging between1.9-2.0 and a RIN value of 6.7. Co-extracted proteins resulted in a recovery of 29.28 μg mg-1 and revealed a total of 1852 identified proteins. Polar metabolites revealed approximately 40 metabolite peaks, and non-polar metabolites with two major fatty acid groups i.e. saturated and unsaturated fatty acids at 55.4% and 38.6%, respectively. This protocol demonstrated an advancement of extraction protocols for oil palm root biomolecules, which will consecutively expedite the establishment of various multi-omics platforms.Highlight Metabolites, proteins and RNA are co-extracted from oil palm root using the all-in-one extraction protocol which provides biomolecule extracts for various omics platforms.AbbreviationsRNARibonucleic acidLC-MS/MSliquid chromatographytandem mass spectrometryGC-FIDgas chromatography-flame ionization detectorSDS-PAGEsodium dodecyl sulphate-polyacrylamide gel electrophoresisFAMEfatty acid methyl estersView Full Text

plant biology↗