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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

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Circadian dynamics of RNA localisation in the mammalian liver

Clémence Yumie Syloun Hurni

Gene expression in eukaryotes is a complex multi-step process. It starts in the nucleus with transcription, the synthesis of a mRNA copy from a DNA template. While in the nucleus, the RNA transcript is subject to multiple co- and post-transcriptional modif ...

EPFL2021

Common Gene Expression Patterns in Environmental Model Organisms Exposed to Engineered Nanomaterials: A Meta-Analysis

Kristin Schirmer, Anze Zupanic

The use of omics is gaining importance in the field of nanoecotoxicology; an increasing number of studies are aiming to investigate the effects and modes of action of engineered nanomaterials (ENMs) in this way. However, a systematic synthesis of the outco ...

AMER CHEMICAL SOC2020

Transcriptomic analysis across liver diseases reveals disease-modulating activation of constitutive androstane receptor in cholestasis

Kristina Schoonjans, Jian Liu, Bhoomika Mathur

Background & Aims: Liver diseases are caused by many factors, such as genetics, nutrition, and viruses. Therefore, it is important to delineate transcriptomic changes that occur in various liver diseases. Methods: We performed high-throughput sequencing of ...

2020

Development of topological tools for the analysis of biological data

There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex data sets. Topological data analysis (TDA) has been used to approach this problem. This recent field of mathematics discerns characteristic features of a space ...

EPFL2018

ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data

Bart Deplancke, Vincent Roland Julien Gardeux, Adrian Shajkofci, Petra Catalina Schwalie

Motivation: Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of thousands of individual cells, enabling the molecular exploration of tissues at the cellular level. Such analytical capacity is of great interest to many research gr ...

Oxford University Press2017

Microarray gene expression data sets are jointly analyzed to increase statistical power. They could either be merged together or analyzed by meta-analysis. For a given ensemble of data sets, it cannot be foreseen which of these paradigms, merging or meta-a ...

Oxford Univ Press2016

Nuclear Factor I genomic binding associates with chromatin boundaries

Giovanni Dietler, Giovanna Ambrosini, Jan Kerschgens, Philipp Bucher, Nicolas Mermod, Petar Pjanic, Armelle Gaussin

Background: The Nuclear Factor I (NFI) family of DNA binding proteins (also called CCAAT box transcription factors or CTF) is involved in both DNA replication and gene expression regulation. Using chromatin immuno-precipitation and high throughput sequenci ...

BioMed Central2013

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The advent of high-throughput technologies such as ChIP-seq has made possible the study of histone modifications. A problem of particular interest is the identification of regions of the genome where different cell types from the same organism exhibit diff ...

Public Library of Science2012

Spot Identification and Quality Control in Cell-Based Microarrays

Michael Bauer, Blaise Calpe

Cell-based microarrays are being increasingly used as a tool for combinatorial and high throughput screening of cellular microenvironments. Analysis of microarrays requires several steps, including microarray imaging, identification of cell spots, quality ...

Amer Chemical Soc2012

Copy-number variants (CNVs) form an abundant class of genetic variation with a presumed widespread impact on individual traits. While recent advances, such as the population-scale sequencing of human genomes, facilitated the fine-scale mapping of CNVs, the ...

2011