34 research outputs found
Testing for differential abundance in mass cytometry data.
When comparing biological conditions using mass cytometry data, a key challenge is to identify cellular populations that change in abundance. Here, we present a computational strategy for detecting 'differentially abundant' populations by assigning cells to hyperspheres, testing for significant differences between conditions and controlling the spatial false discovery rate. Our method (http://bioconductor.org/packages/cydar) outperforms other approaches in simulations and finds novel patterns of differential abundance in real data.This work was supported by Cancer Research UK (core funding to J.C.M., award no. A17197), the University of Cambridge and Hutchison Whampoa Limited. J.C.M. was also supported by core funding from EMBL
Reconstruction of functional networks from multiparametric high-throughput screens
Hazelton Ind. USA1 over White River 1921. Wooden trestle shown supporting the construction of two concrete piers. Two cranes are shown on top of the trestle deck. Formwork for a concrete pier is shown in left background
Ovarian Cancer Dataset - Cell Reports - Gonzales et al 2018
A CyTOF dataset of 17 ovarian cancer samples, gated for CD45- FAP- Tumor subse
Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks
Transcriptomes of germinal zones of human and mouse fetal neocortex suggest a role of extracellular matrix in progenitor self-renewal.
The expansion of the neocortex during mammalian brain evolution results primarily from an increase in neural progenitor cell divisions in its two principal germinal zones during development, the ventricular zone (VZ) and the subventricular zone (SVZ). Using mRNA sequencing, we analyzed the transcriptomes of fetal human and embryonic mouse VZ, SVZ, and cortical plate. In mouse, the transcriptome of the SVZ was more similar to that of the cortical plate than that of the VZ, whereas in human the opposite was the case, with the inner and outer SVZ being highly related to each other despite their cytoarchitectonic differences. We describe sets of genes that are up- or down-regulated in each germinal zone. These data suggest that cell adhesion and cell-extracellular matrix interactions promote the proliferation and self-renewal of neural progenitors in the developing human neocortex. Notably, relevant extracellular matrix-associated genes include distinct sets of collagens, laminins, proteoglycans, and integrins, along with specific sets of growth factors and morphogens. Our data establish a basis for identifying novel cell-type markers and open up avenues to unravel the molecular basis of neocortex expansion during evolution
Transcriptomes of germinal zones of human and mouse fetal neocortex suggest a role of extracellular matrix in progenitor self-renewal
The expansion of the neocortex during mammalian brain evolution results primarily from an increase in neural progenitor cell divisions in its two principal germinal zones during development, the ventricular zone (VZ) and the subventricular zone (SVZ). Using mRNA sequencing, we analyzed the transcriptomes of fetal human and embryonic mouse VZ, SVZ, and cortical plate. In mouse, the transcriptome of the SVZ was more similar to that of the cortical plate than that of the VZ, whereas in human the opposite was the case, with the inner and outer SVZ being highly related to each other despite their cytoarchitectonic differences. We describe sets of genes that are up- or down-regulated in each germinal zone. These data suggest that cell adhesion and cell–extracellular matrix interactions promote the proliferation and self-renewal of neural progenitors in the developing human neocortex. Notably, relevant extracellular matrix-associated genes include distinct sets of collagens, laminins, proteoglycans, and integrins, along with specific sets of growth factors and morphogens. Our data establish a basis for identifying novel cell-type markers and open up avenues to unravel the molecular basis of neocortex expansion during evolution
Abstract 551: Deficiency of Hepatic Nuclear Factor 4 Alpha Results in Impaired Metabolism of Endogenous Methylarginines and Beta-aminoisobutiric Acid - A Novel Mechanism of Cardiovascular Complications in Patients With Type 2 Diabetes?
Introduction:
Alanine-glyoxylate aminotransferase 2 (AGXT2) is the only known enzyme capable of degradation of all three endogenous methylarginines, which serve as markers and potentially mediators of cardiovascular disease. Recent studies also suggest that AGXT2 and its alternative substrate beta-aminoisobutyric acid (BAIB) play important role in lipid metabolism. The predicted core promoter region of mammalian AGXT2 promoter contains a highly conserved putative binding site for hepatic nuclear factor 4 alpha (HNF4A). Patients with severe deficiency in HNF4a develop maturity onset diabetes of young 1. Furthermore, polymorphisms of HNF4A are associated with increased risk of diabetes type 2. The aim of this study was to test the hypothesis that HNF4A is a major regulator of AGXT2 expression and activity.
Methods and results:
We demonstrated direct binding of HNF4A to the Agxt2 promoter region in hepatic cell line Hepa 1-6 using chromatin immunoprecipitation assays. Then we showed that mutations of the predicted HNF4A binding site in the Agxt2 core promoter result in up to 80% decrease in the promoter activity as assessed by luciferase reporter assays (p<0.001). We used siRNA-mediated knockdown of HNF4A to determine whether this factor is required for basal Agxt2 expression in Hepa 1-6 cells. Knockdown of HNF4A led to almost 50% reduction in Agxt2 mRNA levels compared to controls (p<0.01). We took advantage of the previously characterized inducible liver-specific Hnf4a knockout (KO) mice to determine whether HNF4A regulates Agxt2 expression in vivo and showed a 90% (p<0.001) decrease in liver Agxt2 expression and a 85% (p<0.01) decrease in liver AGXT2 activity towards methylarginines in Hnf4a KO mice compared with the wild-type littermates. Finaly, on a functional level, Hnf4a KO mice had significant amounts of BAIB present in plasma, whereas BAIB was not detectable in the plasma of the wild-type littermates.
Conclusions:
In our study we identified HNF4A as the major regulator of Agxt2 gene expression. This finding suggests that diabetic patients with HNF4A deficiency might have a unique mechanism for development of cardiovascular complication via AGXT2-dependent impairment of lipid metabolism and methylarginines-mediated vascular dysfunction.
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Systems survey of endocytosis by multiparametric image analysis.
Endocytosis is a complex process fulfilling many cellular and developmental functions. Understanding how it is regulated and integrated with other cellular processes requires a comprehensive analysis of its molecular constituents and general design principles. Here, we developed a new strategy to phenotypically profile the human genome with respect to transferrin (TF) and epidermal growth factor (EGF) endocytosis by combining RNA interference, automated high-resolution confocal microscopy, quantitative multiparametric image analysis and high-performance computing. We identified several novel components of endocytic trafficking, including genes implicated in human diseases. We found that signalling pathways such as Wnt, integrin/cell adhesion, transforming growth factor (TGF)-beta and Notch regulate the endocytic system, and identified new genes involved in cargo sorting to a subset of signalling endosomes. A systems analysis by Bayesian networks further showed that the number, size, concentration of cargo and intracellular position of endosomes are not determined randomly but are subject to specific regulation, thus uncovering novel properties of the endocytic system
