Maryam Nazarieh

Maryam Nazarieh
CBI · Computer Science

PhD of Computer Science in Computational Biology & Bioinformatics

About

12
Publications
1,458
Reads
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104
Citations
Citations since 2016
10 Research Items
98 Citations
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201620172018201920202021202205101520
201620172018201920202021202205101520
201620172018201920202021202205101520
Introduction
Additional affiliations
July 2020 - present
IKMB
Position
  • Researcher

Publications

Publications (12)
Article
Full-text available
TFmiR is a freely available web server for deep and integrative analysis of combinatorial regulatory interactions between transcription factors, microRNAs and target genes that are involved in disease pathogenesis. Since the inner workings of cells rely on the correct functioning of an enormously complex system of activating and repressing interact...
Article
Full-text available
Background Identifying the gene regulatory networks governing the workings and identity of cells is one of the main challenges in understanding processes such as cellular differentiation, reprogramming or cancerogenesis. One particular challenge is to identify the main drivers and master regulatory genes that control such cell fate transitions. In...
Article
Full-text available
Gene-regulatory networks are an abstract way of capturing the regulatory connectivity between transcription factors, microRNAs, and target genes in biological cells. Here, we address the problem of identifying enriched co-regulatory three-node motifs that are found significantly more often in real network than in randomized networks. First, we comp...
Article
Full-text available
A blood cell lineage consists of several consecutive developmental stages starting from the pluri- or multipotent stem cell to a state of terminal differentiation. Despite their importance for human biology, the regulatory pathways and gene networks that govern these differentiation processes are not yet fully understood. This is in part due to cha...
Preprint
Cytotoxic CD8 ⁺ T lymphocytes (CTL) eliminate infected cells or transformed tumour cells by releasing perforin-containing cytotoxic granules at the immunological synapse. The secretion of such granules depends on Ca ²⁺ -influx through store operated Ca ²⁺ channels, formed by STIM-activated Orai proteins. Whereas molecular mechanisms of the secretio...
Preprint
Full-text available
A blood cell lineage consists of several consecutive developmental stages from the pluri- or multipotent stem cell to a state of terminal differentiation. Despite their importance for human biology, the regulatory pathways and gene networks that govern these differentiation processes are not yet fully understood. This is in part due to challenges a...
Article
Full-text available
Putative disease-associated genes are often identified among those genes that are differentially expressed in disease and in normal conditions. This strategy typically yields thousands of genes. Gene prioritizing schemes boost the power of identifying the most promising disease-associated genes among such a set of candidates. We introduce here a no...
Preprint
A blood cell lineage consists of several consecutive developmental stages from the pluripotent or multipotent stem cell to a particular stage of terminally differentiated cells. There is considerable interest in identifying the key regulatory genes that govern blood cell development from the gene expression data without considering the underlying n...
Article
TFmiR2 is a freely available web server for constructing and analyzing integrated TF and miRNA co-regulatory networks for human and mouse. TFmiR2 generates tissue- and biological process-specific networks for the set of deregulated genes and miRNAs provided by the user. Furthermore, the service can now identify key driver genes and miRNAs in the co...
Article
Full-text available
Background: Sets of differentially expressed genes often contain driver genes that induce disease processes. However, various methods for identifying differentially expressed genes yield quite different results. Thus, we investigated whether this affects the identification of key players in regulatory networks derived by downstream analysis from li...

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