Biology subjects

Kocher, J.-P. A.

Publications and source records attributed to Kocher, J.-P. A..

5 recordsLinked to original sources

bioRxiv2022

CRISPR/Cas9-Mediated Excision of ALS/FTD-Causing Hexanucleotide Repeat Expansion in C9ORF72 rescues major disease mechanisms in vivo and in vitro

A hexanucleotide repeat expansion (HRE) consisting of GGGGCC24+ in the C9ORF72 gene is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Both are fatal neurodegenerative diseases with no current approved treatments that significantly slow disease progression or extend life expectancy. Several hypotheses have emerged to explain how this HRE causes neuronal death, including C9ORF72 haploinsufficiency, sequestration of RNA-binding proteins in the nucleus, and production of dipeptide repeat proteins. In the present study we used a CRISPR/Cas9 gene-editing approach to remove the HRE from the C9ORF72 genomic locus, designing guide RNAs (gRNAs) flanking the HRE, and delivered Cas9 and gRNAs using adeno-associated virus serotype 9 (AAV9) vectors. Here, we demonstrate successful excision of the HRE in C9ORF72 in primary cortical neurons and brains of three mouse models containing the C9ORF72 expanded HRE (ranging from 500-600 repeats) as well as in patient-derived iPSC motor neurons and brain organoids (450 repeats). This resulted in a reduction of RNA foci, poly-dipeptides and haploinsufficiency, the major hallmarks of C9-ALS/FTD, making this an extremely attractive therapeutic approach to these diseases.

molecular biology↗

bioRxiv2019

Coverage profile correction of shallow-depth circulating cell free DNA sequencing via multi-distance learning

Shallow-depth whole-genome sequencing (WGS) of circulating cell-free DNA (ccfDNA) is a popular approach for non-invasive genomic screening assays, including liquid biopsy for early detection of invasive tumors as well as non-invasive prenatal screening (NIPS) for common fetal trisomies. In contrast to nuclear DNA WGS, ccfDNA WGS exhibits extensive inter- and intra-sample coverage variability that is not fully explained by typical sources of variation in WGS, such as GC content. This variability may inflate false positive and false negative screening rates of copy-number alterations and aneuploidy, particularly if these features are present at a relatively low proportion of total sequenced content. Herein, we propose an empirically-driven coverage correction strategy that leverages prior annotation information in a multi-distance learning context to improve within-sample coverage profile correction. Specifically, we train a weighted k-nearest neighbors-style method on non-pregnant female donor ccfDNA WGS samples, and apply it to NIPS samples to evaluate coverage profile variability reduction. We additionally characterize improvement in the discrimination of positive fetal trisomy cases relative to normal controls, and compare our results against a more traditional regression-based approach to profile coverage correction based on GC content and mappability. Under cross-validation, performance measures indicated benefit to combining the two feature sets relative to either in isolation. We also observed substantial improvement in coverage profile variability reduction in leave-out clinical NIPS samples, with variability reduced by 26.5-53.5% relative to the standard regression-based method as quantified by median absolute deviation. Finally, we observed improvement discrimination for screening positive trisomy cases reducing ccfDNA WGS coverage variability while additionally improving NIPS trisomy screening assay performance. Overall, our results indicate that machine learning approaches can substantially improve ccfDNA WGS coverage profile correction and downstream analyses.

bioinformatics↗

bioRxiv2019

Ectopic hepatocyte transplantation cures the pig model of tyrosinemia

The effectiveness of cell-based therapies to treat liver failure is limited by the diseased liver environment. Herein we provide preclinical proof-of-concept for the treatment of liver failure through hepatocyte transplantation into lymph nodes in a large-animal model of hereditary tyrosinemia type 1 (HT1), a metabolic liver disease caused by deficiency of fumarylacetoacetate hydrolase (FAH) enzyme. FAH-deficient pigs received autologous hepatocyte transplantation into mesenteric lymph nodes after ex vivo transduction with a lentiviral vector carrying the pig Fah gene. Hepatocytes showed early (6 hour) and durable (8 month) engraftment in lymph nodes, with reproduction of vascular and hepatic microarchitecture. Subsequently, hepatocytes migrated to and repopulated the native diseased liver. The corrected cells generated enough liver mass to clinically ameliorate disease as early as 97 days post-transplantation, with complete normalization of tyrosine levels and liver function tests. Integration site analysis defined the corrected hepatocytes in the liver as a subpopulation of hepatocytes in the lymph nodes, indicating that the lymph nodes served as a source for healthy hepatocytes to repopulate a diseased liver. Ectopic transplantation of hepatocytes cures the pig model of HT1 and presents a promising approach to the treatment of liver disease in patients with pre-existing liver damage and fibrosis.\n\nOne Sentence SummaryTransplantation of corrected hepatocytes in mesenteric lymph nodes can cure fatal metabolic liver disease by providing organized liver tissue and by repopulating the diseased liver in the pig tyrosinemia model.

molecular biology↗

bioRxiv2017

Prevailing homozygous deletion of interferon and defensin genes in human cancers

Interferons and defensins are antimicrobial peptides that can also induce anti-tumor immunity. By analyzing the copy number profiles of 10,759 patients across 31 cancer types, we found the homozygous deletions of interferon and defensin genes are prevailing in most human cancers, and that patients with these homozygous deletions exhibited significant reduced overall survival or disease-free survival. We further demonstrated that the homozygous deletion of interferon and defensin genes significantly impacted the expression of genes regulated by tumor necrosis factor (TNF) and IFN{gamma}. Our findings suggested a novel immune escape mechanism that disrupts the tumor cells ability to be recognized, and have implications for personalized immunotherapy.

immunology↗

bioRxiv2017

CircularLogo: A light weighted web application to visualize intra-motif dependencies

BackgroundThe sequence logo has been widely used to represent DNA or RNA motifs for more than three decades. Despite its intelligibility and intuitiveness, the traditional sequence logo is unable to display the intra-motif dependencies and therefore is insufficient to fully characterize nucleotide motifs. Many methods have been developed to quantify the intra-motif dependencies, but fewer tools are available for visualization.\n\nResultWe developed CircularLogo, a web-based interactive application, which is able to not only visualize the position-specific nucleotide consensus and diversity but also display the intra-motif dependencies. Applying CircularLogo to HNF6 binding sites and tRNA sequences demonstrated its ability to show intra-motif dependencies and intuitively reveal biomolecular structure. CircularLogo is implemented in JavaScript and Python based on the Django web framework. The programs source code and users manual are freely available at http://circularlogo.sourceforge.net. CircularLogo web server can be accessed from http://bioinformaticstools.mayo.edu/circularlogo/index.html.\n\nConclusionCircularLogo is an innovative web application that is specifically designed to visualize and interactively explore intra-motif dependencies.

bioinformatics↗