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- Escott-Price, Valentina, et al.
(author)
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Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease
- 2014
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In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 9:6, s. e94661-
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Journal article (peer-reviewed)abstract
- Background: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls. Principal Findings: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4x10(-6)) and 14 (IGHV1-67 p = 7.9x10(-8)) which indexed novel susceptibility loci. Significance: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
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- Jensen, Lasse, et al.
(author)
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Disruption of the Extracellular Matrix Progressively Impairs Central Nervous System Vascular Maturation Downstream of beta-Catenin Signaling
- 2019
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In: Arteriosclerosis, Thrombosis and Vascular Biology. - : LIPPINCOTT WILLIAMS & WILKINS. - 1079-5642 .- 1524-4636. ; 39:7, s. 1432-1447
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Journal article (peer-reviewed)abstract
- Objective- The Wnt/beta-catenin pathway orchestrates development of the blood-brain barrier, but the downstream mechanisms involved at different developmental windows and in different central nervous system (CNS) tissues have remained elusive. Approach and Results- Here, we create a new mouse model allowing spatiotemporal investigations of Wnt/beta-catenin signaling by induced overexpression of Axin1, an inhibitor of beta-catenin signaling, specifically in endothelial cells (Axin1(iEC)-(OE)). AOE (Axin1 overexpression) in Axin1(iEC)-(OE) mice at stages following the initial vascular invasion of the CNS did not impair angiogenesis but led to premature vascular regression followed by progressive dilation and inhibition of vascular maturation resulting in forebrain-specific hemorrhage 4 days post-AOE. Analysis of the temporal Wnt/beta-catenin driven CNS vascular development in zebrafish also suggested that Axin1(iEC)-(OE) led to CNS vascular regression and impaired maturation but not inhibition of ongoing angiogenesis within the CNS. Transcriptomic profiling of isolated, beta-catenin signaling-deficient endothelial cells during early blood-brain barrier-development (E11.5) revealed ECM (extracellular matrix) proteins as one of the most severely deregulated clusters. Among the 20 genes constituting the forebrain endothelial cell-specific response signature, 8 (Adamtsl2, Apod, Ctsw, Htra3, Pglyrp1, Spock2, Ttyh2, and Wfdc1) encoded bona fide ECM proteins. This specific beta-catenin-responsive ECM signature was also repressed in Axin1(iEC)-(OE) and endothelial cell-specific beta-catenin-knockout mice (Ctnnb1-KOiEC) during initial blood-brain barrier maturation (E14.5), consistent with an important role of Wnt/beta-catenin signaling in orchestrating the development of the forebrain vascular ECM. Conclusions- These results suggest a novel mechanism of establishing a CNS endothelium-specific ECM signature downstream of Wnt-beta-catenin that impact spatiotemporally on blood-brain barrier differentiation during forebrain vessel development.
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- Jones, Lesley, et al.
(author)
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Convergent genetic and expression data implicate immunity in Alzheimer's disease
- 2015
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In: Alzheimer's & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 11:6, s. 658-671
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Journal article (peer-reviewed)abstract
- Background: Late-onset Alzheimer's disease (AD) is heritable with 20 genes showing genome-wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease, we extended these genetic data in a pathway analysis. Methods: The ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain. Results: ALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response (P = 3.27 X 10(-12) after multiple testing correction for pathways), regulation of endocytosis (P = 1.31 X 10(-11)), cholesterol transport (P = 2.96 X 10(-9)), and proteasome-ubiquitin activity (P = 1.34 X 10(-6)). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected P = .002-.05). Conclusions: The immime response, regulation of endocytosis, cholesterol transport, and protein ubiquitination represent prime targets for AD therapeutics.
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- Martin de la Fuente, Laura, et al.
(author)
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Copy number signatures for early diagnosis of high-grade serous ovarian carcinoma
- 2022
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Conference paper (other academic/artistic)abstract
- BackgroundThe detection of ovarian carcinoma-derived somatic mutations in cervical samples and uterine lavages in several studies since 2013, has brought hope for the development of new biomarkers for early detection. High-grade serous ovarian carcinoma (HGSC) is strongly dominated by copy number alterations (CNAs). These CNAs are the consequence of underlying mutational processes in HGSC. We interrogated CNAs from low coverage whole-genome sequencing (WGS) data in HGSC tumors, plasma, endometrial biopsies, and cervical samples to explore if copy number signatures can be used as a biomarker for early detection of HGSC.Methods A total of 204 samples were included from 18 patients with HGSC, four BRCA mutation carriers and seven benign controls. Estimations of ploidy and cellularity, and thus calculation of absolute copy number, were optimized through a combination of the ACE, Rascal, and ichorCNA bioinformatic tools. Mixture modelling was used to subgroup the six fundamental copy number features and non-negative matrix factorization was used to generate the signatures and cluster the samples.ResultsWe extracted six fundamental copy number features from 69 diagnostic and pre-diagnostic cervical samples from patients diagnosed with HGSC and generated six CN signatures. We found different distributions of features in benign samples compared to tumors and cervical samples from HGSC patients. We also observed different exposures to the six signatures in different patient groups.ConclusionsFurther understanding of the components and cell types contributing to each signature, and inclusion of more cervical samples into the approach, will hopefully identify a novel tumorigenic signature for early detection of HGSC in cervical samples.
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| 6. |
- Martin de la Fuente, Laura, et al.
(author)
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Detection of Copy Number Aberration and Tumor Fraction in Archival Cervical Specimens from Ovarian Cancer Patients using Shallow Whole Genome Sequencing.
- 2021
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Conference paper (other academic/artistic)abstract
- Ovarian cancer, often called the silent killer due to its diffuse symptoms at early stage, poor prognosis after treatments and high mortality, is also a heterogeneous disease consisting of different histological subtypes with potentially different origins. About 90% of all cases derive from epithelial cells and high-grade serous ovarian carcinoma (HGSOC) is the most common and aggressive form of epithelial ovarian cancer. Recent data indicate the p53 signature lesions and serous tubal intraepithelial carcinomas (STICs) in the fallopian tube are likely to be the common origin of HGSOC, and neoplastic cells containing TP53 somatic mutations could be detected in the cervical specimens collected from 20 months to 6 years before the diagnosis. Our ongoing project is to validate pre-diagnostic cervical specimens from HGSOC by using shallow whole genome sequencing (sWGS), which can detect copy number aberrations (CNAs) even in preserved tumor DNA samples with advantages of low cost, high multiplex and easy data handling. The sWGS will be performed on Illumina sequencing platforms and the sequencing data will be processed with BWA (alignment), SAMtools (cleanup), Picardtools (duplicate) and gatk (BQSR). QDNAseq will be used for the downstream copy number analysis, and GISTIC2.0 for identifying focal gain and loss region. It will be a challenge to estimate the tumor purity and ploidy on the scarce amount of ovarian tumorigenic precursors in the cervical specimens, and we will need to use a probabilistic graphical model without a priori information from normal fallopian tissue to estimate tumor fraction, corrected CNAs as well as tumorigenic copy number signatures. We hope the sWGS approach will allow us to study and detect the early onset of ovarian cancers on large population based cervical screening in a non-invasive and cost-efficient manner.
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