Biology subjects

Tiemeyer, M.

Publications and source records attributed to Tiemeyer, M..

12 recordsLinked to original sources

bioRxiv2026

Two closely related β-1,2-xylosyltransferases differentially impact fungal glycan synthesis

Cryptococcus neoformans is an opportunistic fungal pathogen that causes pulmonary infection in immunocompromised patients, which in severe cases leads to fatal meningoencephalitis. Cryptococcus exhibits unique glycobiology that plays important roles in pathogenesis. Unlike model yeast and other common fungal pathogens, Cryptococcus incorporates xylose, a five-carbon monosaccharide, into its glycans. One trimer motif, which consists of xylose in {beta}-1,2 linkage to the reducing mannose of an -1,3-mannose dimer, occurs in key cryptococcal glycoconjugates that include protein N- and O-linked glycans, glycosylinositol phosphorylceramides (GIPCs), and the capsule polysaccharides glucuronoxylomannan (GXM) and glucuronoxylomannogalactan (GXMGal). We previously identified cryptococcal {beta}-1,2-xylosyltransferase 1 (Cxt1), which catalyzes formation of this motif in GIPCs, GXM, and GXMGal. Here, we report the discovery of a second enzyme, cryptococcal {beta}-1,2-xylosyltransferase 2 (Cxt2). Through characterization of cells that lack one or both corresponding genes (CXT1 and CXT2), we have dissected the biological roles of these enzymes, which are overlapping but not identical. Notably, Cxt1 and Cxt2 colocalize in the Golgi, influence capsule in a strain-dependent manner, and together are responsible for all xylose addition to O-glycans. Overall, our work highlights unique roles of these two enzymes and fills a gap in understanding of cryptococcal glycan synthesis. IMPORTANCECryptococcus neoformans is an opportunistic fungal pathogen that causes almost 150,000 deaths each year worldwide. Cryptococcus synthesizes unique glycan structures that play important roles in its biology and pathogenesis. One abundant component of these structures is xylose, a five-carbon monosaccharide. Because xylose is not used by many fungal organisms, including model yeast, we have limited information about how cells add it to their glycans. Here we report a xylosyltransferase enzyme that performs this function, and we characterize specific biological roles of this protein and a closely related one we discovered earlier. We find that these proteins together perform all detectable xylose addition to an important class of protein-linked glycans (O-glycans). They also both participate in other synthetic processes, although this varies with the specific enzyme and strain background. These results contribute to our understanding of cryptococcal glycan synthesis and underscore the importance of testing multiple background strains.

microbiology↗

bioRxiv2026

BiomarkerKB: FAIR and Integrated Biomarker Knowledge Connecting Biomolecular and Clinical Data Types

Biomarkers are essential tools for disease detection, risk assessment, therapeutic monitoring, and precision medicine. However, biomarker data are dispersed across heterogeneous resources, inconsistently reported in the literature, and rarely standardized for computational use. This fragmentation limits reproducibility, cross-study integration, and the discovery of novel biomarker and disease relationships. We developed BiomarkerKB, a knowledgebase designed to harmonize and integrate biomarker information under a standardized data model. The model follows the FDA-NIH BEST biomarker definition and captures both core fields (biomarker entity, disease/condition, exposure agent) and contextual metadata (specimen, biomarker role, evidence, provenance). Biomarker data and related annotations were either curated from publications or collected from public resources (e.g., OpenTargets, GWAS Catalog, ClinVar, CIViC, OncoMX) and were also contributed by the Common Fund Data Coordinating Centers and the Early Detection Research Network (EDRN). Standardization was achieved using ontologies and reference resources such as Disease Ontology, UBERON, UniProtKB, and HUGO Gene Nomenclature Committee (HGNC) gene symbols. BiomarkerKB data were ingested into a Neo4j-based knowledge graph and integrated with the Common Fund Data Ecosystem (CFDE) Knowledge Graph. The initial release of BiomarkerKB contains over 200,000 biomarker-disease associations spanning genes, proteins, metabolites, glycans, and chemical elements. The knowledge graph comprises more than 300,000 nodes and 1.2 million edges, enabling structured exploration of biomarker relationships within CFDE data as demonstrated through the knowledge graph query-based use cases presented in this study. A publicly accessible web portal (https://biomarkerkb.org) provides keyword search, filtering, data downloads, and access to graph visualization to support both researchers and computational analyses. BiomarkerKB addresses a critical gap in biomarker informatics by providing an integrated, FAIR (Findable, Accessible, Interoperable, and Reusable), and unified framework for biomarker knowledge exploration and discovery.

bioinformatics↗

bioRxiv2025

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data

The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar. The DDKG uses a property graph architecture based on the UBKG infrastructure and supports ontology-based ingestion, identifier normalization, and graph-native querying. The system is modular and can be extended with new datasets or schema modules. We demonstrate its utility for informatics queries across eight use cases, including regulatory variant analysis, tissue-specific expression, biomarker discovery, and cross-species variant prioritization. The DDKG is accessible via a public interface, a programmatic API, and downloadable builds for local use.

bioinformatics↗

bioRxiv2025

Differential O-Glc elongation on the specific EGF repeat within a ligand binding domain regulates NOTCH1 signaling

Three types of O-linked glycosylation - O-glucose, O-fucose, and O-N-acetylglucosamine - are crucial for the function of Notch receptors, which regulates critical cell fate determination processes in a wide variety of contexts. O-Glucose glycans are added to serine residues located between the first and second conserved cysteines within the epidermal growth factor (EGF) -like repeats in the Notch extracellular domain. Previously, O-glucose glycans were shown to be extended to a trisaccharide structure with two xyloses via an 1-3 linkage. Our recent studies, however, indicated that the O-glucose glycan on NOTCH1 EGF10 can be extended by hexose and Neu5Ac. Here, we demonstrated that this hexose- and Neu5Ac-extended glycan has a 3-sialyllactose-like structure synthesized by specific members of two isoenzyme families, B4GALT1 and ST3GAL4. Using mass spectrometry, we identified this modification exclusively on NOTCH1 EGF10 and NOTCH3 EGF9 (equivalent to NOTCH1 EGF10), with no detection in any other EGF domains in NOTCH1-3. Sequence comparison and mutagenesis experiments identified one amino acid at position -2 of the fourth cysteine in the EGF domain as crucial for the galactose elongation of O-glucose glycans. We further demonstrated that this site-specific elongation of O-glucose on NOTCH1 EGF10 significantly impact ligand binding and signal transduction of NOTCH1. Our findings contribute to the understanding of the intricate regulatory mechanisms of Notch receptor function mediated by distinct positions and structures of O-glycans. Significance StatementNotch, a signaling receptor critical for development, differentiation, and homeostasis in multicellular organisms, undergoes multiple post-translational glycan modifications to regulate its function. While O-glucose glycan elongation by xylose was previously known, we identified an O-glucose glycan extended by galactose and Neu5Ac on specific epidermal growth factor (EGF) -like repeats of certain Notch paralogs, NOTCH1 and NOTCH3. As far as we know, this structure has not been reported on any other proteins. We identify the enzymes involved in the biosynthesis of this glycan and demonstrate that modifications at a specific site on Notch direct receptor functions, including ligand binding and Notch signaling.

biochemistry↗

bioRxiv2022

Glia-neuron coupling via a bipartite sialylation pathway promotes neural transmission and stress tolerance in Drosophila

Modification by sialylated glycans can affect protein functions, underlying mechanisms that control animal development and physiology. Sialylation relies on a dedicated pathway involving evolutionarily conserved enzymes, including CMP-sialic acid synthetase (CSAS) and sialyltransferase (SiaT) that mediate the activation of sialic acid and its transfer onto glycan termini, respectively. In Drosophila, CSAS and DSiaT genes function in the nervous system, affecting neural transmission and excitability. We found that these genes function in different cells: the function of CSAS is restricted to glia, while DSiaT functions in neurons. This partition of the sialylation pathway allows for regulation of neural functions via a glia-mediated control of neural sialylation. The sialylation genes were shown to be required for tolerance to heat and oxidative stress and for maintenance of the normal level of voltage-gated sodium channels. Our results uncovered a unique bipartite sialylation pathway that mediates glia-neuron coupling and regulates neural excitability and stress tolerance. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/486211v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@15b8de3org.highwire.dtl.DTLVardef@1c037e8org.highwire.dtl.DTLVardef@9674bborg.highwire.dtl.DTLVardef@1c9c010_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2021

Hyperconcentrated Mucus Unifies Submucosal Gland and Superficial Airway Dysfunction in Cystic Fibrosis

Cystic fibrosis (CF) is characterized by abnormal transepithelial ion transport. However, a description of CF lung disease pathophysiology unifying superficial epithelial and submucosal gland (SMG) dysfunctions has remained elusive. We hypothesized that biophysical abnormalities associated with CF mucus hyperconcentration provide a unifying mechanism. Studies of the anion secretion-inhibited pig airway CF model revealed elevated SMG mucus concentrations, osmotic pressures, and SMG mucus accumulation. Human airway studies revealed hyperconcentrated CF SMG mucus with raised osmotic pressures and cohesive forces predicted to limit SMG mucus secretion/release. Utilizing proline-rich protein 4 (PRR4) as a biomarker of SMG secretion, proteomics analyses of CF sputum revealed markedly lower PRR4 levels compared to healthy and bronchiectasis controls, consistent with a failure of CF SMGs to secrete mucus onto airway surfaces. Raised mucus osmotic/cohesive forces, reflecting mucus hyperconcentration, provide a unifying mechanism that describes disease-initiating mucus accumulation on airway surfaces and within SMGs of the CF lung.

pathology↗

bioRxiv2021

Neural-specific alterations in glycosphingolipid biosynthesis and cell signaling associated with two human ganglioside GM3 Synthase Deficiency variants

GM3 Synthase Deficiency (GM3SD) is a neurodevelopmental disorder resulting from pathogenic variants in the ST3GAL5 gene, which encodes GM3 synthase, a glycosphingolipid (GSL)-specific sialyltransferase. This enzyme adds a single 3-linked sialic acid to the terminal galactose of lactosylceramide (LacCer) to produce the monosialylated ganglioside GM3. In turn, GM3 is extended by other glycosyltransferases to generate nearly all the complex gangliosides enriched in neural tissue. Pathogenic mechanisms that account for neural phenotypes associated with GM3SD are not known. To explore how loss of GM3 impacts neural-specific glycolipid glycosylation and cell signaling, GM3SD patient fibroblasts bearing one of two different ST3GAL5 variants were reprogrammed to induced pluripotent stem cells (iPSCs) and then differentiated to neural crest cells (NCCs). GM3 and GM3-derived gangliosides were undetectable in iPSCs and NCCs from both variants, while LacCer precursor levels were elevated compared to wildtype (WT). NCCs of both variants synthesized elevated levels of neutral lacto- and globo-series, as well as minor alternatively sialylated, GSLs compared to WT. Shifts in ceramide profiles associated with iPSC and NCC GSLs were also detected in GM3SD variants. Altered GSL profiles in the GM3SD cells were accompanied by dynamic changes in the cell surface proteome, protein O-GlcNAcylation, and receptor tyrosine kinase abundance. GM3SD cells also exhibited increased apoptosis and sensitivity to erlotnib, an inhibitor of epidermal growth factor receptor signaling. Pharmacologic inhibition of O-GlcNAcase increased protein O-GlcNAcylation and significantly rescued baseline and erlotnib-induced apoptosis. Collectively, these findings indicate broad effects on cell signaling during differentiation of GM3SD patient-derived iPSCs to NCCs. Thus, human GM3SD cells provide a novel platform to investigate structure/function relationships that connect GSL diversity to cell signaling, cell survival, and neural differentiation.

neuroscience↗

bioRxiv2021

Enhancing the interoperability of glycan data flow between ChEBI, PubChem, and GlyGen.

Glycans play a vital role in health, disease, bioenergy, biomaterials, and biotherapeutics. As a result, there is keen interest to identify and increase glycan data in bioinformatics databases like ChEBI and PubChem, and connecting them to resources at the EMBL-EBI and NCBI to facilitate access to important annotations at a global level. GlyTouCan is a comprehensive archival database that contains glycans obtained primarily through batch upload from glycan repositories, glycoprotein databases, and individual laboratories. In many instances, the glycan structures deposited in GlyTouCan may not be fully defined or have supporting experimental evidence and citations. Databases like ChEBI and PubChem were designed to accommodate complete atomistic structures with well-defined chemical linkages. As a result, they cannot easily accommodate the structural ambiguity inherent in glycan databases. Consequently, there is a need to improve the organization of glycan data coherently to enhance connectivity across the major NCBI, EMBL-EBI, and glycoscience databases. This paper outlines a workflow developed in collaboration between GlyGen, ChEBI, and PubChem to improve the visibility and connectivity of glycan data across these resources. GlyGen hosts a subset of glycans (~29,000) from the GlyTouCan database and has submitted valuable glycan annotations to the PubChem database and integrated over 10,500 (including ambiguously defined) glycans into the ChEBI database. The integrated glycans were prioritized based on links to PubChem and connectivity to glycoprotein data. The pipeline provides a blueprint for how glycan data can be harmonized between different resources. The current PubChem, ChEBI, and GlyTouCan mappings can be downloaded from GlyGen (https://data.glygen.org).

bioinformatics↗

bioRxiv2020

Role of Rv3351c in trafficking Mycobacterium tuberculosis bacilli in alveolar epithelial cells and its contribution to disease

Although interactions with alveolar macrophages have been well characterized for Mycobacterium tuberculosis, the roles epithelial cells play during infection and disease development have been less studied. We have previously shown that deletion of gene rv3351c reduces M. tuberculosis replication in and necrosis of A549 human type II pneumocyte cells. In the present study, we report that rv3351c is required for lipid raft aggregation on A549 cell plasma membranes during M. tuberculosis infection. Lipid raft aggregation was also induced directly by recombinant Rv3351c protein. A{Delta} rv3351c deletion mutant was less effective than wild type M. tuberculosis at circumventing phagolysosome fusion in A549 cells as evidenced by increased co-localization with lysosomal markers LAMP-2 and cathepsin-L by the mutant bacilli. These observations indicate a role for Rv3351c in modification of the plasma membrane to facilitate trafficking and survival of M. tuberculosis bacilli through alveolar epithelial cells, and support the hypothesis that M. tuberculosis has mechanisms to target the alveolar epithelium. Preliminary data also demonstrate that like the type II pneumocyte-targeting M. tuberculosis secreted protein heparin-binding filamentous hemagglutinin (HBHA), Rv3351c is detected by the host cellular and humoral immune responses during infection, and may play an important role in mycobacterial dissemination from the lungs. Author summaryMycobacterium tuberculosis is the leading causes of death due to a single infectious agent and many facets regarding the pathogenesis of this organism remain unknown. This facultative intracellular bacterial pathogen often establishes infection through inhalation of the bacilli into the alveoli of the lungs. Interactions with alveolar macrophages have been well characterized and it had been assumed that these interactions with phagocytic cells primarily determine the fate of the disease. However, alveolar epithelial cells, such as type II pneumocytes, play important roles in disease progression of other bacterial and viral respiratory pathogens, which provided the impetus to more-closely examine pneumocyte-M. tuberculosis interactions. We describe in this study the role of the M. tuberculosis rv3351c gene product in the internalization and survival of this pathogen in human type II pneumocytes. We previously showed that a{Delta} rv3351c mutant replicates less efficiently and generates less necrosis than the parental M. tuberculosis strain in this cell type. We demonstrate herein that Rv3351c protein induces lipid raft aggregation on the membranes of alveolar epithelial cells and that M. tuberculosis {Delta}rv3351c traffics through LAMP-2-labeled endosomes 30% more frequently than the parent strain. This trafficking toward phagolysosomes may underlie the reduced replication and cytotoxicity of the mutant. The role of Rv3351c in trafficking and survival of M. tuberculosis bacilli through epithelial cells ultimately resulting in dissemination from the lungs may begin with modifications to the plasma membrane prior to attachment. Such a mechanism of activity suggests Rv3351c as a potential vaccine target to train the host immune system to bind and eliminate the protein before it modulates the alveolar epithelium.

microbiology↗

bioRxiv2020

Separation and identification of permethylated glycan isomers by reversed phase nanoLC-NSI-MSn

High performance liquid chromatography has been employed for decades to enhance detection sensitivity and quantification of complex analytes within biological mixtures. Among these analytes, glycans released from glycoproteins and glycolipids have been characterized as underivatized or fluorescently tagged derivatives by HPLC coupled to various detection methods. These approaches have proven extremely useful for profiling the structural diversity of glycoprotein and glycolipid glycosylation but require the availability of glycan standards and secondary orthogonal degradation strategies to validate structural assignments. A robust method for HPLC separation of glycans as their permethylated derivatives, coupled with in-line MSn fragmentation to assign structural features independent of standards, would significantly enhance the depth of knowledge obtainable from biological samples. Here, we report an optimized workflow for LC-MS analysis of permethylated glycans that includes sample preparation, mobile phase optimization, and MSn method development to resolve structural isomers on-the-fly. We report baseline separation and MSn fragmentation of isomeric N- and O-glycan structures, aided by supplementing mobile phases with Li+, which simplifies adduct heterogeneity and facilitates cross-ring fragmentation to obtain valuable monosaccharide linkage information. Our workflow has been adapted from standard proteomics-based workflows and, therefore, provides opportunities for laboratories with expertise in proteomics to acquire glycomic data with minimal deviation from existing buffer systems, chromatography media, and instrument configurations. Furthermore, our workflow does not require a mass spectrometer with high-resolution/accurate mass capabilities. The rapidly evolving appreciation of the biological significance of glycans for human health and disease requires the implementation of high-throughput methods to identify and quantify glycans harvested from sample sets of sufficient size to achieve appropriately powered statistical significance. The LC-MSn approach we report generates glycan isomeric separations, robust structural characterization, and is amenable to auto-sampling with associated throughput enhancements.

biochemistry↗

bioRxiv2020

Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor

The current COVID-19 pandemic is caused by the SARS-CoV-2 betacoronavirus, which utilizes its highly glycosylated trimeric Spike protein to bind to the cell surface receptor ACE2 glycoprotein and facilitate host cell entry. We utilized glycomics-informed glycoproteomics to characterize site-specific microheterogeneity of glycosylation for a recombinant trimer Spike mimetic immunogen and for a soluble version of human ACE2. We combined this information with bioinformatic analyses of natural variants and with existing 3D-structures of both glycoproteins to generate molecular dynamics simulations of each glycoprotein alone and interacting with one another. Our results highlight roles for glycans in sterically masking polypeptide epitopes and directly modulating Spike-ACE2 interactions. Furthermore, our results illustrate the impact of viral evolution and divergence on Spike glycosylation, as well as the influence of natural variants on ACE2 receptor glycosylation that, taken together, can facilitate immunogen design to achieve antibody neutralization and inform therapeutic strategies to inhibit viral infection.

biochemistry↗

bioRxiv2020

Allosteric regulation of lysosomal enzyme recognition by the cation-independent mannose 6-phosphate receptor

The cation-independent mannose 6-phosphate receptor (CI-MPR), also known as the IGF2 receptor or CD222, is a multifunctional type I transmembrane glycoprotein ubiquitously expressed in most eukaryotic cell types. Through the receptors ability to bind a variety of unrelated extracellular and intracellular ligands, it is involved in a wide array of functions including protein trafficking, lysosomal biogenesis, internalization, regulation of cell growth, cell migration and apoptosis. CI-MPR has a large extracellular region comprised of 15 contiguous domains, four of which interact with phosphorylated glycans on lysosomal enzymes. Here we present a series of biophysical studies, along with crystal structures, providing information on how the N-terminal 5 domains of this receptor work in concert to bind and release carbohydrates. High-resolution electron microscopy as well as hydroxyl radical protein footprinting (HRPF) of this multifunctional multidomain construct demonstrates dynamic conformational changes occur as a consequence of ligand binding and different pH conditions, These data, coupled with surface plasmon resonance studies and molecular modeling, allow us to propose a bi-dentate oligosaccharide binding model, which could explain how high affinity carbohydrate binding is achieved through allosteric domain cooperativity.

biochemistry↗