Biology subjects

Funk, C.

Publications and source records attributed to Funk, C..

8 recordsLinked to original sources

bioRxiv2025

Robust Serum Proteomic Signatures of APOE2

We previously identified a signature of 16 serum proteins that highlighted a role of the e2 allele of APOE in lipid regulation via apolipoprotein B (APOB) and apolipoprotein E (APOE), and in inflammation. The serum proteins were profiled using the aptamer-based Somalogic technology. Here, we validate and expand the serum protein signature of APOE using a combination of mass-spectrometry, ELISA, Luminex, antibody-based Olink proteomics, and blood transcriptomics. We replicate the association between APOB and the e2 allele of APOE, we correct the pattern of association between APOE genotypes and serum level of APOE, and we detect new associations between APOE genotypes and the complex of apolipoproteins APOC1, APOC4, APOC2, APOC3, APOE, APOF and APOL1. In addition, we discover 13 new proteins that correlate with APOE genotypes. This extended signature includes granule proteins CAMP, CTSG, DEFA3, and MPO secreted from neutrophils and points to olfactomedin 4 (OLFM4) as a new target for the prevention of Alzheimers disease.

genetics↗

bioRxiv2023

A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease

The emergence of technologies that can support high-throughput profiling of single cell transcriptomes offers to revolutionize the study of brain tissue from persons with and without Alzheimers disease (AD). Integration of these data with additional complementary multiomics data such as genetics, proteomics and clinical data provides powerful opportunities to link observed cell subpopulations and molecular network features within a broader disease-relevant context. We report here single nucleus RNA sequencing (snRNA-seq) profiles generated from superior frontal gyrus cortical tissue samples from 101 exceptionally well characterized, aged subjects from the Banner Brain and Body Donation Program in combination with whole genome sequences. We report findings that link common AD risk variants with CR1 expression in oligodendrocytes as well as alterations in peripheral hematological lab parameters, with these observations replicated in an independent, prospective cohort study of ageing and dementia. We also observed an AD-associated CD83(+) microglial subtype with unique molecular networks that encompass many known regulators of AD-relevant microglial biology, and which are associated with immunoglobulin IgG4 production in the transverse colon. These findings illustrate the power of multi-tissue molecular profiling to contextualize snRNA-seq brain transcriptomics and reveal novel disease biology. The transcriptomic, genetic, phenotypic, and network data resources described within this study are available for access and utilization by the scientific community.

genomics↗

bioRxiv2022

Overexpression of the plastidal pseudo-protease AtFtsHi3 confers drought tolerance without penalizing growth

Drought is one of the most severe environmental stresses affecting plant biomass production and quality, however, the molecular mechanisms of drought response in plants remain unclear. Here, we demonstrate that overexpression of the Arabidopsis gene FTSHi3 under the influence of its endogenous, or the 35S constitutive promoter results in drought-tolerant phenotypes without penalising plant growth. FTSHi3 encodes a pseudo-protease located in the chloroplast envelope and knock-down mutants (ftshi3-1) have previously been found to be drought tolerant, but highly reduced in growth. Changes in FtsHi3 transcript abundance therefore seems to induce drought tolerance in Arabidopsis thaliana. Overexpression of FTSHi3 (pFTSHi3-OE) impacts leaf stomatal density, lowers stomatal conductance and increases water use efficiency. To explore the underlying mechanisms behind this, we compared the proteomes of ftshi3-1 and pFTSHi3-OE to wild type plants grown under drought and watered conditions. Under drought conditions, the drought related processes osmotic stress, water transport and response to abscisic acid were enriched, indicating that pFtsHi3-OE and ftshi3-1 mutants are more active in their response to drought than the wild-type. The proteins HSP90, HSP93 and TIC110 were more abundant in the knock-down mutant, which suggests that FtsHi3 might play a downstream role in chloroplast pre-protein import. Increased abundance of FtsH7/9 and FtsH11, FtsH12 and FtsHi4 in ftshi3-1 combined with the fact that FtsH proteases function as homo- or heteromeric complexes suggests that these proteases may be possible interacting partners. To explore this, we constructed mathematical models that show FtsHi3 likely interacts with at least two other (pseudo-) proteases.

biochemistry↗

bioRxiv2021

EIF4EBP1 is transcriptionally upregulated by MYCN and associates with poor prognosis in neuroblastoma

BackgroundNeuroblastoma (NB) accounts for 15% of cancer-related deaths in childhood despite considerable therapeutic improvements. While several risk factors, including MYCN amplification and alterations in RAS and p53 pathway genes, have been defined in NB, the clinical outcome is very variable and difficult to predict. Since genes of the mTOR pathway are up-regulated in MYCN-amplified NB, we aimed to define the predictive value of the mTOR substrate-encoding gene eukaryotic translation initiation factor 4E-binding protein 1 (EIF4EBP1) expression in NB patients. MethodsSeveral independent NB patient cohorts with corresponding mRNA expression data were analyzed for EIF4EBP1 expression. An institutional NB cohort consisting of 69 prospectively collected tumors was employed to immunohistochemically analyze expression of EIF4EBP1-encoded protein (4EBP1). In addition, we performed an in vitro luciferase reporter gene assay with an episomal EIF4EBP1 promoter and genetically modulated MYCN expression in NB cells. FindingsEIF4EBP1 mRNA expression was positively correlated with MYCN expression and elevated in stage 4 and high-risk NB patients. High EIF4EBP1 mRNA expression was associated with reduced overall and event-free survival in the entire group of NB patients in three cohorts, as well as in stage 4 and high-risk patients. High levels of 4EBP1 were significantly associated with prognostically unfavorable NB histology. Functional analyses in vitro revealed that EIF4EBP1 expression is transcriptionally controlled by MYCN binding to the EIF4EBP1 promoter. InterpretationHigh EIF4EBP1 expression is associated with poor prognosis in NB patients and may serve to stratify patients with high-risk NB. FundingG.L. was supported by funding from the Elterninitiative Dusseldorf e.V., the Research Commission of the Medical Faculty of Heinrich Heine University, the Deutsche Forschungsgemeinschaft (Grant LE 3751/2-1), and the German Cancer Aid (Grant 70112624). The laboratory of T.G.P.G. is supported by the Barbara und Wilfried Mohr Foundation. BR is supported by the Israel Science Foundation (grant No. 1436/19). RESEARCH IN CONTEXT Evidence before this studyNB represents a particularly heterogeneous cancer entity, with 5-year event-free survival rate ranging from 50% to 98% depending on the patients risk group. While genes of the nutrient-sensing mTOR pathway were found to be up-regulated in MYCN-amplified NB tumors, their clinical relevance and prognostic value in NB patients remain unclear. In particular, the mTOR substrate-encoding gene EIF4EBP1 was studied in NB by three different groups and high EIF4EBP1 mRNA expression was observed in MYCN-amplified or contradictorily in more favorable stages 1 and 2 patients. Also, EIF4EBP1 was included in a prognostic gene signature for poor overall survival in NB. However, the prognostic value of EIF4EBP1 alone was not determined in NB and the expression of EIF4EBP1 encoded protein, 4EBP1, was not analyzed in NB tumor tissues and not correlated with clinicopathological features such as histological subtypes. Additionally, the transcriptional regulation of the EIF4EBP1 promoter by MYCN was not characterized. Added value of this studyThis study uncovers the prognostic potential of EIF4EBP1 at the mRNA and protein levels in NB patients. We report that high EIF4EBP1 expression is correlated with poor survival in three independent cohorts and that high 4EBP1 levels is associated with a prognostically unfavorable histological subtype. High EIF4EBP1 expression is also a factor of poor prognosis in stage 4 and high-risk patient groups. Finally, we found that MYCN activates the human EIF4EBP1 promoter through binding at three binding motifs. Implications of all the available evidenceEIF4EBP1 mRNA and 4EBP1 protein expression have prognostic value in NB, especially to stratify patients with advanced and more aggressive NB, such as patients with stage 4 disease and high-risk patients including those with unfavorable histological subtype NB. Enhanced EIF4EBP1 mRNA and 4EBP1 protein expression in NB are driven by direct transcriptional activation of EIF4EBP1 by MYCN.

cancer biology↗

bioRxiv2021

Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways

The S209F variant of Abelson Interactor Protein 3 (ABI3) increases risk for Alzheimers disease (AD), but little is known about ABI3 function. RNAscope showed Abi3 is expressed in microglial and non-microglial cells, though its increased expression appears to be driven in plaque-associated microglia. Here, we evaluated Abi3-/- mice and document that both Abi3 and its overlapping gene, Gngt2, are disrupted in these mice. Expression of Abi3 and Gngt2 are tightly correlated, and elevated, in rodent models of AD. RNA-seq of the Abi3-Gngt2-/- mice revealed robust induction of an AD-associated neurodegenerative signature, including upregulation of Trem2, Plcg2 and Tyrobp. In APP mice, loss of Abi3-Gngt2 resulted in a gene dose- and age-dependent reduction in A{beta} deposition. Additionally, in Abi3-Gngt2-/- mice, expression of a pro-aggregant form of human tau exacerbated tauopathy and astrocytosis. Further, the AD-associated S209F mutation alters the extent of ABI3 phosphorylation. These data provide an important experimental framework for understanding the role of Abi3-Gngt2 function in AD. Our studies also demonstrate that manipulation of glial function could have opposing effects on amyloid and tau pathology, highlighting the unpredictability of targeting such pathways in AD.

neuroscience↗

bioRxiv2021

Conserved Architecture of Brain Transcriptome Changes between Alzheimer's Disease and Progressive Supranuclear Palsy in Pathologically Affected and Unaffected Regions

We identify a striking correlation in the directionality and magnitude of gene expression changes in brain transcriptomes between Alzheimers disease (AD) and Progressive Supranuclear Palsy (PSP). Further, the transcriptome architecture in AD and PSP is highly conserved between the temporal and cerebellar cortices, indicating highly similar transcriptional changes occur in pathologically affected and "unaffected" areas of the brain. These data have broad implications for interpreting transcriptomic data in neurodegenerative disorders.

neuroscience↗

bioRxiv2019

Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach

Alzheimers disease (AD) is a complex and heterogenous brain disease that affects multiple inter-related biological processes. This complexity contributes, in part, to existing difficulties in the identification of successful disease-modifying therapeutic strategies. To address this, systems approaches are being used to characterize AD-related disruption in molecular state. To evaluate the consistency across these molecular models, a consensus atlas of the human brain transcriptome was developed through coexpression meta-analysis across the AMP-AD consortium. Consensus analysis was performed across five coexpression methods used to analyze RNA-seq data collected from 2114 samples across 7 brain regions and 3 research studies. From this analysis, five consensus clusters were identified that described the major sources of AD-related alterations in transcriptional state that were consistent across studies, methods, and samples. AD genetic associations, previously studied AD-related biological processes, and AD targets under active investigation were enriched in only three of these five clusters. The remaining two clusters demonstrated strong heterogeneity between males and females in AD-related expression that was consistently observed across studies. AD transcriptional modules identified by systems analysis of individual AMP-AD teams were all represented in one of these five consensus clusters except ROS/MAP-identified Module 109, which was specific for genes that showed the strongest association with changes in AD-related gene expression across consensus clusters. The other two AMP-AD transcriptional analyses reported modules that were enriched in one of the two sex-specific Consensus Clusters. The fifth cluster has not been previously identified and was enriched for genes related to proteostasis. This study provides an atlas to map across biological inquiries of AD with the goal of supporting an expansion in AD target discovery efforts.

systems biology↗

bioRxiv2018

Reproducible big data science: A case study in continuous FAIRness

Big biomedical data create exciting opportunities for discovery, but make it difficult to capture analyses and outputs in forms that are findable, accessible, interoperable, and reusable (FAIR). In response, we describe tools that make it easy to capture, and assign identifiers to, data and code throughout the data lifecycle. We illustrate the use of these tools via a case study involving a multi-step analysis that creates an atlas of putative transcription factor binding sites from terabytes of ENCODE DNase I hypersensitive sites sequencing data. We show how the tools automate routine but complex tasks, capture analysis algorithms in understandable and reusable forms, and harness fast networks and powerful cloud computers to process data rapidly, all without sacrificing usability or reproducibility--thus ensuring that big data are not hard-to-(re)use data. We compare and contrast our approach with other approaches to big data analysis and reproducibility.

bioinformatics↗