Cassan Océane

Cassan Océane
  • PhD
  • Editor at Ephyra Publishing

Computational and systems biology.

About

18
Publications
1,731
Reads
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196
Citations
Introduction
I received my PhD from the University of Montpellier, France, on the topic of plant Systems Biology and Gene Regulatory Network Inference. During my postdoc, I employed and developed statistical learning approaches with applications in human Regulatory Genomics. I am now working full-time on the creation and the scientific steering of Ephyra Publishing and its academic journal Systems Aging, where I am an editor (https://ephyrapublishing.com/).
Current institution
Ephyra Publishing
Current position
  • Editor
Additional affiliations
January 2023 - present
October 2019 - December 2022
IPSIM
Position
  • PhD Student
Editor roles

Publications

Publications (18)
Preprint
Full-text available
Gene expression is controlled by proximal and distal cis-regulatory elements (CREs), containing DNA motifs bound by various transcription factors (TFs). Other sequence features, such as specific k-mers or low complexity regions, have also been implicated. However, in a dynamic biological process such as cell differentiation, we lack an understandin...
Article
Full-text available
With this very first Editorial, we would like to introduce a new actor in the field of aging research and communication. This new actor is Systems Aging, an open access peer-reviewed journal dedicated to advancing aging research through the use of computational and systems biology. It is published by Ephyra Publishing, a small new publisher intendi...
Article
Full-text available
Motivations Gene Regulatory Networks (GRNs) are traditionally inferred from gene expression profiles monitoring a specific condition or treatment. In the last decade, integrative strategies have successfully emerged to guide GRN inference from gene expression with complementary prior data. However, datasets used as prior information and validation...
Article
Full-text available
The elevation of atmospheric CO 2 leads to a decline in plant mineral content, which might pose a significant threat to food security in coming decades. Although few genes have been identified for the negative effect of elevated CO 2 on plant mineral composition, several studies suggest the existence of genetic factors. Here, we performed a large-s...
Preprint
The elevation of atmospheric CO 2 leads to a decline in the plant mineral content, which might pose a significant threat to food security in the coming decades. To date, very few genes have been identified as having a role in the negative effect of elevated CO 2 on plant mineral composition. Yet, several studies have shown a certain degree of diver...
Preprint
Full-text available
The elevation of atmospheric CO2 leads to a decline in the plant mineral content, which poses a major threat to food security in the coming decades. To date, very few genes have been identified as having a role in the negative effect of elevated CO2 on plant mineral composition. Yet, several studies have shown a certain degree of diversity in the i...
Preprint
The elevation of atmospheric CO2 leads to a decline in the plant mineral content, which poses a major threat to food security in the coming decades. To date, very few genes have been identified as having a role in the negative effect of elevated CO2 on plant mineral composition. Yet, several studies have shown a certain degree of diversity in the i...
Preprint
Full-text available
Gene Regulatory Networks (GRN) are traditionnally inferred from gene expression profiles monitoring a specific condition or treatment. In the last decade, integrative strategies have successfully emerged to guide GRN inference from gene expression with complementary prior data. However, datasets used as prior information and validation gold standar...
Preprint
Full-text available
Gene Regulatory Networks (GRN) are traditionnally inferred from gene expression profiles monitoring a specific condition or treatment. In the last decade, integrative strategies have successfully emerged to guide GRN inference from gene expression with complementary prior data. However, datasets used as prior information and validation gold standar...
Preprint
Full-text available
The elevation of atmospheric CO2 leads to a decline in the plant mineral content, which poses a major threat to food security in the coming decades. To date, very few genes have been identified as having a role in the negative effect of elevated CO2 on plant mineral composition. Yet, several studies have shown a certain degree of diversity in the i...
Thesis
Full-text available
Human activity is causing an elevation of CO2 levels in the atmosphere, that are expected to rise from 420 ppm to approximately 1000 ppm by the end of the century.C3 plants, a major part of cultivated crops, are particularly affected by the rise of CO2levels. Even though a stimulation of biomass production is expected under elevatedCO2 (eCO2), this...
Article
Full-text available
The elevation of CO2 in the atmosphere increases plant biomass but decreases their mineral content. The genetic and molecular bases of these effects remain mostly unknown, in particular in the root system, which is responsible for plant nutrient uptake. To gain knowledge about the effect of elevated CO2 on plant growth and physiology, and to identi...
Article
The elevation of atmospheric CO2 concentration has a strong impact on the physiology of C3 plants, far beyond photosynthesis and C metabolism. In particular, it reduces the concentrations of most mineral nutrients in plant tissues, posing major threats on crop quality, nutrient cycles, and carbon sinks in terrestrial agro-ecosystems. The causes of...
Article
Polycomb-group (PcG) proteins are major chromatin complexes that regulate gene expression, mainly described as repressors keeping genes in a transcriptional silent state during development. Recent studies have nonetheless suggested that PcG proteins might have additional functions, including on targeting active genes or independently of gene expres...
Article
Full-text available
Background High-throughput transcriptomic datasets are often examined to discover new actors and regulators of a biological response. To this end, graphical interfaces have been developed and allow a broad range of users to conduct standard analyses from RNA-seq data, even with little programming experience. Although existing solutions usually prov...
Article
Full-text available
Background In eukaryotic cells, transcription factors (TFs) are thought to act in a combinatorial way, by competing and collaborating to regulate common target genes. However, several questions remain regarding the conservation of these combinations among different gene classes, regulatory regions and cell types. Results We propose a new approach...
Preprint
Full-text available
In eukaryotic cells, transcription factors (TFs) are thought to act in a combinatorial way, by competing and collaborating to regulate common target genes. However, several questions remain regarding the conservation of these combina-tions among different gene classes, regulatory regions and cell types. We propose a new approach named TFcoop to inf...

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