Biology subjects

Arnold, S.

Publications and source records attributed to Arnold, S..

14 recordsLinked to original sources

bioRxiv2026

Mapping California's Urban Forest at Scale: An Error-Adjusted Canopy Time Series for Monitoring Change

Statewide tracking of urban tree canopy change is essential for evaluating progress toward policy targets, but detecting real change requires both high-resolution mapping and rigorous uncertainty estimation. We produced a four-year canopy cover time series for all California census-designated places using 60-cm NAIP aerial imagery and a U-Net deep learning model trained with semi-automated LiDAR-derived labels and manually annotated tiles. Canopy cover and change were estimated using stratified, error-adjusted area estimation, enabling comparisons across years. Statewide canopy cover showed a modest negative trend from 2016 to 2022 (Sens slope: -0.60% per year), but confidence intervals included zero across all groups and climate zones, indicating that trends were not statistically distinguishable from no change. Urban canopy cover was consistently lower than non-urban canopy by approximately six percentage points, and canopy cover was highest in the Northern California Coast and lowest in the Southwest Desert. Residential parcels accounted for 55-56% of canopy within incorporated urban areas across all years, indicating that statewide canopy increase goals will require engagement with private landowners. Error adjustment substantially altered canopy estimates relative to raw pixel-count totals, with direct implications for AB 2251 canopy tracking where baselines and targets drawn from unadjusted maps may not reflect true canopy extent. This open-source workflow is transferable to future NAIP acquisition years and other U.S. states, providing a scalable framework for long-term urban forest monitoring.

ecology↗

bioRxiv2026

Evolutionary rewiring of the endomesoderm gene regulatory networks specify skeleton secreting cells in stony corals.

Stony corals are the eponymous keystone organisms for the most diverse marine ecosystems on earth: coral reefs. Despite their importance, little is known about the developmental genetic programs that drive their embryonic development and subsequent emergence of coral-specific traits. Like all developmental processes, coral development is governed by a series of genetic interactions collectively termed a gene regulatory network. Evolutionary changes in these gene regulatory networks are key sources of biological innovation, but how these networks operate in corals and how they have changed over time remains poorly understood. Here, we integrate chromatin profiling and transcriptomics to define the cis-regulatory architecture of early development in stony corals using the emerging model, Astrangia poculata. We find that key elements of the deeply conserved cnidarian endomesoderm gene regulatory network have been co-opted into a novel subnetwork that specifies secretory cells in corals. Using transgenic reporter assays, we found that a proximal cis-regulatory element of the endomesodermal gene Brachyury is sufficient to drive coral-specific expression patterns in the sea anemone Nematostella vectensis, demonstrating these elements as a key evolvable unit in stony corals. Collectively these findings establish a gene-regulatory framework for coral development and cell specification and suggest that evolutionary rewiring of ancestral developmental programs is a key driver in the evolution and diversification of stony corals.

developmental biology↗

bioRxiv2024

Pathogenesis of mtDNA point mutation m.10191T>C affecting complex I function is a multifactorial process leading to metabolic remodeling of mitochondria

Inherited mitochondrial disorders are of multiple genetic origins and may lead to a broad range of frequently severe disease phenotypes. Yet, the correlation between molecular causes and clinical presentations is poorly understood. To address this conundrum, we thoroughly investigated the consequences of the well-known pathogenic mitochondrial DNA mutation m.10191T>C. The mutation changes serine-45 in subunit ND3 of respiratory chain complex I to proline and causes Leigh syndrome, which is one of the most devastating mitochondrial diseases. Human mitochondria carrying the mutation ND3S45P retained 30-40% of complex I activity and oxidative phosphorylation capacity. In stark contrast, intact mutant cells exhibited only minimal oxygen consumption and a massively increased NADH/NAD+ ratio. Since the energy barrier for the Active/Deactive transition of complex I was reduced by [~]20 kJ{middle dot}mol-1 in mutant cells, we concluded that complex I was shut-off by malfunctioning of an as yet unknown regulatory pathway. Comprehensive analysis of the mitochondrial complexome of cybrids, patient fibroblasts and muscle biopsies rendered other causes for the accumulation of NADH unlikely. The complexome datasets provide a rich resource for further studies to discover possible additional factors involved in regulating complex I. We propose that the derailed regulation of complex I is the main culprit leading to NADH accumulation and eventually the severity of the disease phenotype caused by mutation ND3S45P.

biochemistry↗

bioRxiv2024

COA8 is a COX10-binding protein involved in the early biogenesis of cytochrome c oxidase

Human cytochrome c oxidase (COX) is composed of fourteen subunits, only two of which are catalytic. The functions of a myriad of accessory factors are needed to put together the structural subunits, as well as for the formation of the active centers. The molecular roles of most of these factors are still unknown, even if they are essential for COX function since their defects cause severe mitochondrial disease. COA8 is exclusively found in metazoa and loss-of-function genetic variants cause mitochondrial encephalopathy and COX deficiency in humans. In this work, we have resolved the function of COA8, as a factor that specifically binds to COX10, the heme O synthase. This interaction is necessary not only for the stabilization of human COX10, but also to guarantee its catalytic activity as the first step for the synthesis of the heme A cofactor, which is a crucial component of the COX catalytic center.

biochemistry↗

bioRxiv2023

Chromatin profiling data indicate regulatory mechanisms for differentiation during development in the acoel Hofstenia miamia

Chromatin profiling data can corroborate and generate hypotheses for regulatory events that underlie the control of gene expression in any biological process. Here, we applied the Assay for Transposase Accessible Chromatin (ATAC) sequencing to build a catalog of putative regulatory DNA during the process of embryonic development in an acoel. Acoels represent an enigmatic phylum-level lineage of animals, the Xenacoelomorpha, which is placed either as a sister-group to all other animals with bilateral symmetry or as an early-diverging ambulacrarian, two alternative phylogenetic placements that both position acoels equally well to inform the evolution of developmental mechanisms. We focused on the acoel Hofstenia miamia, a.k.a. the three-banded panther worm, which has emerged as a new laboratory research organism for whole-body regeneration that also enables the study of development from zygote to hatching. We profiled chromatin landscapes over a time course encompassing many major morphological events, including gastrulation, axial patterning, and differentiation of tissues such as epidermis and muscle. Broad patterns of chromatin accessibility and predicted binding of various transcription factor (TF) motifs identified major biological processes and their putative regulators, and we noted that differential accessibility tended to precede major developmental transitions in embryogenesis. Focused analysis of TF binding combined with single-cell RNA-seq data provided regulatory linkages for genes in a previously hypothesized differentiation trajectory for epidermis and generated new hypotheses for gene regulatory networks associated with the formation of muscle. This work provides a platform for the identification of developmental mechanisms in Hofstenia and enables comparisons of embryogenesis in acoels to other animals as well as comparisons of embryogenesis to regeneration.

developmental biology↗

bioRxiv2023

Structural rather than catalytic role for mitochondrial respiratory chain supercomplexes

Mammalian mitochondrial respiratory chain (MRC) complexes are able to associate into quaternary structures named supercomplexes (SCs), which normally coexist with non bound individual complexes. The functional significance of SCs has not been fully clarified and the debate has been centered on whether or not they confer catalytic advantages to the non-bound individual complexes. Mitochondrial respiratory chain organization does not seem to be conserved in all organisms. In fact, and differently from mammalian species, mitochondria from Drosophila melanogaster tissues are characterized by low amounts of SCs, despite the high metabolic demands and MRC activity shown by these mitochondria. Here, we show that attenuating the biogenesis of individual respiratory chain complexes was accompanied by increased formation of stable SCs, which are missing in Drosophila melanogaster in physiological conditions. This phenomenon was not accompanied by an increase in mitochondrial respiratory activity. Therefore, we conclude that SC formation is necessary to stabilize the complexes in suboptimal biogenetic conditions, but not for the enhancement of respiratory chain catalysis.

biochemistry↗

bioRxiv2022

MRPS36 provides a missing link in the eukaryotic 2-oxoglutarate dehydrogenase complex for recruitment of E3 to the E2 core

The tricarboxylic acid (TCA) cycle, or Krebs cycle, is the central pathway of energy production in eukaryotic cells and plays a key part in aerobic respiration throughout all kingdoms of life. The enzymes involved in this cycle generate the reducing equivalents NADH and FADH2 by a series of enzymatic reactions, which are utilized by the electron transport chain to produce ATP. One of the pivotal enzymes in this cycle is 2-oxoglutarate dehydrogenase complex (OGDHC), which generates NADH by oxidative decarboxylation of 2-oxoglutarate to succinyl-CoA. OGDHC is a megadalton protein complex originally thought to be assembled just from three catalytically active subunits (E1o, E2o, E3). In fungi and animals, however, the protein MRPS36 has more recently been proposed as a putative additional component. Based on extensive XL-MS data obtained from measurements in mice and bovine heart mitochondria, supported by phylogenetic analyses, we provide evidence that MRPS36 is an essential member of OGDHC, albeit only in eukaryotes. Comparative sequence analysis and computational structure predictions reveal that in eukaryotic OGDHC, E2o does not contain the peripheral subunit-binding domain (PSBD), present in bacterial and archaeal E2os. We propose that in eukaryotes MRPS36 evolved as an E3 adaptor protein, functionally replacing the PSBD. We further provide a refined structural model of the complete eukaryotic OGDHC containing 16 E1o, 12 E3, and 6 subunits of MRPS36 accommodated around the OGDHC core composed of 24 E2o subunits (3.45 MDa). The model provides new insights into the OGDH complex topology and stipulates putative mechanistic implications.

biochemistry↗

bioRxiv2022

Membrane curvature governs the distribution of Piezo1 in cellulo

Piezo1 is a bona fide mechanosensitive ion channel ubiquitously expressed in mammalian cells. The distribution of Piezo1 within a cell is essential for various biological processes including cytokinesis, cell migration, and wound healing. However, the underlying principles that guide the subcellular distribution of Piezo1 remain largely unexplored. Here, we demonstrate that membrane curvature serves as a key regulator of the spatial distribution of Piezo1 in the plasma membrane of living cells. Piezo1 depletes from highly curved membrane protrusions such as filopodia and enriches to nanoscale membrane invaginations. Quantification of the curvaturedependent sorting of Piezo1 directly reveals the in situ nano-geometry of the Piezo1-membrane complex. Piezo1 density on filopodia increases upon activation, independent of Ca2+, suggesting flattening of the channel upon opening. Consequently, the expression of Piezo1 inhibits filopodia formation, an effect that diminishes with channel activation.

biophysics↗

bioRxiv2021

Molecular characterization of a complex of Apoptosis Inducing Factor 1 (AIFM1) with cytochrome c oxidase of the mitochondrial respiratory chain

Combining mass spectrometry based chemical cross-linking and complexome profiling, we analyzed the interactome of heart mitochondria. We focused on complexes of oxidative phosphorylation and found that dimeric apoptosis inducing factor 1 (AIFM1) forms a defined complex with ~10% of monomeric cytochrome c oxidase (COX), but hardly interacts with respiratory chain supercomplexes. Multiple AIFM1 inter-crosslinks engaging six different COX subunits provided structural restraints to build a detailed atomic model of the COX-AIFM12 complex. Application of two complementary proteomic approaches thus provided unexpected insight into the macromolecular organization of the mitochondrial complexome. Our structural model excludes direct electron transfer between AIFM1 and COX. Notably however, the binding site of cytochrome c remains accessible allowing formation of a ternary complex. The discovery of the previously overlooked COX-AIFM12 complex and clues provided by the structural model hint at a role of AIFM1 in OXPHOS biogenesis and in programmed cell death.

molecular biology↗

bioRxiv2020

CEDAR, an online resource for the reporting and exploration of complexome profiling data

Complexome profiling is an emerging omics approach that systematically interrogates the composition of protein complexes (the complexome) of a sample, by combining biochemical separation of native protein complexes with mass-spectrometry based quantitation proteomics. The resulting fractionation profiles hold comprehensive information on the abundance and composition of the complexome, and have a high potential for reuse by experimental and computational researchers. However, the lack of a central resource that provides access to these data, reported with adequate descriptions and an analysis tool, has limited their reuse. Therefore, we established the ComplexomE profiling DAta Resource (CEDAR, www3.cmbi.umcn.nl/cedar/), an openly accessible database for depositing and exploring mass spectrometry data from complexome profiling studies. Compatibility and reusability of the data is ensured by a standardized data and reporting format containing the "minimum information required for a complexome profiling experiment" (MIACE). The data can be accessed through a user-friendly web interface, as well as programmatically using the REST API portal. Additionally, all complexome profiles available on CEDAR can be inspected directly on the website with the profile viewer tool that allows the detection of correlated profiles and inference of potential complexes. In conclusion, CEDAR is a unique, growing and invaluable resource for the study of protein complex composition and dynamics across biological systems.

bioinformatics↗

bioRxiv2020

Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first six months of the COVID-19 pandemic

Three-dimensional structures of SARS-CoV-2 and other coronaviral proteins archived in the Protein Data Bank were used to analyze viral proteome evolution during the first six months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48,000 viral proteome sequences showed how each one of the 29 viral study proteins have undergone amino acid changes. Structural models computed for every unique sequence variant revealed that most substitutions map to protein surfaces and boundary layers with a minority affecting hydrophobic cores. Conservative changes were observed more frequently in cores versus boundary layers/surfaces. Active sites and protein-protein interfaces showed modest numbers of substitutions. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for six drug discovery targets and four structural proteins comprising the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and functional interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.

molecular biology↗

bioRxiv2020

Comparative assessment of the effects of bumped kinase inhibitors on early zebrafish embryo development and pregnancy in mice.

Bumped kinase inhibitors (BKIs) are effective against a variety of apicomplexan parasites. Fifteen BKIs with promising in vitro efficacy against Neospora caninum tachyzoites, low cytotoxicity in mammalian cells, and no toxic effects in non-pregnant BALB/c mice, were assessed in pregnant mice. Drugs were emulsified in corn oil and applied by gavage for 5 days. Five BKIs did not affect pregnancy, 5 BKIs exhibited 15-35% of neonatal mortality, and 5 compounds caused strong effects (infertility, abortion, stillbirth and pup mortality). Additionally, the impact of these compounds on zebrafish (Danio rerio) embryo development was assessed by exposing freshly fertilized eggs to 0.2-50M of BKIs and microscopical monitoring of embryo development in a blinded manner during 4 days. We propose an algorithm that includes quantification of malformations and embryo deaths, and established a scoring system that allows to calculate an impact score (Si) that indicates at which concentrations BKIs visibly affect zebrafish embryo development. Comparison of the two models showed that for 9 compounds no clear correlation between Si and pregnancy outcome was visible. However, those 3 BKIs affecting zebrafish embryos only at high concentrations (40M or higher) did not impair mouse pregnancy at all, and those 3 compounds that inhibited zebrafish embryo development already at 0.2M showed detrimental effects in the pregnancy model. Thus, the zebrafish embryo development test has a limited predictive value to foresee pregnancy outcome in BKI-treated mice. We conclude, that maternal health-related factors such as cardiovascular, pharmacokinetic and/or bioavailability properties also contribute to BKI-pregnancy effects.

pathology↗

bioRxiv2019

Immune-mediated genetic pathways resulting in pulmonary function impairment increase lung cancer susceptibility

Impaired lung function is often caused by cigarette smoking, making it challenging to disentangle its role in lung cancer susceptibility. Investigation of the shared genetic basis of these phenotypes in the UK Biobank and International Lung Cancer Consortium (29,266 cases, 56,450 controls) shows that lung cancer is genetically correlated with reduced forced expiratory volume in one second (FEV1: rg=0.098, p=2.3x10-8) and the ratio of FEV1 to forced vital capacity (FEV1/FVC: rg=0.137, p=2.0x10-12). Mendelian randomization analyses demonstrate that reduced FEV1 increases squamous cell carcinoma risk (odds ratio (OR)=1.51, 95% confidence intervals: 1.21-1.88), while reduced FEV1/FVC increases the risk of adenocarcinoma (OR=1.17, 1.01-1.35) and lung cancer in never smokers (OR=1.56, 1.05-2.30). These findings support a causal role of pulmonary impairment in lung cancer etiology. Integrative analyses reveal that pulmonary function instruments, including 73 novel variants, influence lung tissue gene expression and implicate immune-related pathways in mediating the observed effects on lung carcinogenesis.

genetics↗

bioRxiv2018

Shared heritability and functional enrichment across six solid cancers

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg=0.57, p=4.6x10-8), breast and ovarian cancer (rg=0.24, p=7x10-5), breast and lung cancer (rg=0.18, p=1.5x10-6) and breast and colorectal cancer (rg=0.15, p=1.1x10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

genomics↗