Projet Génome humain | EPFL Graph Search

vignette|Le génome humain est constitué de l'ensemble de l'information portée par nos 23 paires de chromosomes. Le (PGH, ou HGP pour l'anglais Human Genome Project) est un programme lancé fin 1988 dont la mission était d'établir le séquençage complet de l'ADN du génome humain. Son achèvement a été annoncé le . Le nouveau projet lancé dans la foulée en , ENCODE (Encyclopedia of DNA Elements), donne des résultats importants sur l'ADN non codant humain. Le génome humain est l'ensemble de l'information génétique portée par l'ADN sur les 23 paires de chromosomes présent dans le noyau plus l'ADN mitochondrial (hérité de la mère uniquement). Il porte l'ensemble de l'information génétique humaine, estimée à gènes avant le séquençage et qui s'est révélée contenir finalement de à gènes. Cette entreprise de grande ampleur est le résultat d'une coopération scientifique internationale qui s'est étalée sur près de quinze ans. Elle a donné lieu sur le final à une compétition acharnée entre le c

Integrative transcriptome analyses of Transposable Elements (TEs) and genes contribute to a better understanding of colorectal cancer

Eunji Shin

Cancer is the second leading cause of death worldwide. Cancer develops through multiple hallmark functions including apoptosis evasion, unlimited replicative potential, metastasis, and immune avoidance. Over the past few decades, researchers have reported a substantial amount of information about the role of gene expression dysregulation in cancer, whereas transposable elements (TEs) have been overlooked despite the fact they constitute nearly half of the human genome. TEs are DNA repetitive sequences that spread across the genome of living organisms throughout the evolution of species, contributing to genomic diversity and shaping the epigenomic landscape. The vast majority of TEs appear to be transcriptionally silent in adult tissues, thus avoiding deleterious mutational insertions and recombination events in somatic tissues. Due to the global epigenetic dysregulation that occurs during tumorigenesis, some TEs lose repressive marks and become transcriptionally active in cancer cells. Consequently, TE insertions into oncogenes and tumor suppressor genes may occur, thereby contributing to cancer development and disease progression. It is also widely accepted that some TEs harbor transcription factor recognition sites and have regulatory functions on gene expression. Some transcriptionally active TEs can give rise to alternative TE-derived chimeric gene products. Given these facts, integrative transcriptome analysis of TEs and genes may contribute to a better understanding of complex traits of cancer and help to better classify cancer subtypes with clinical implications for patients.To gain insights into the underlying mechanisms of cancer pathogenesis, we constructed a co-expression network based on the similarity in expression levels of TEs and genes. We focused on colorectal cancer (CRC), a heterogeneous disease with different genetic and molecular backgrounds, contributing to patient outcomes and response to therapy. We investigated the coordinated activity of TEs and genes in view of recurrent CRC chromosomal aberrations, genome organization, and functional significance. We further examined co-expression changes in network structure under the contrasting conditions of cancerous versus matched healthy colic mucosal tissues. We found that the cancer network was associated with a dramatic decrease in the number of gene interactions as opposed to an increase in TE interactions. Physical chromosomal distance affects the degree of co-expression, where the proximal distance effect of TE is contrasted with the distant effect of the gene. Our study sheds light on the complex interplay between TEs and genes and how they coordinately shape cancer and normal co-expression networks. Furthermore, we integrated gene and TE expression to develop a new consensus molecular subtype (CMS) classifier derived from multiple layers of TE and gene signatures. We demonstrated that our new approach led to better identification of CRC patients of the former CMS3 subtype, the most heterogeneous subtype with mixed biological characteristics, and a global reduction of the expected misclassification of other CMS subtypes. We further optimized our classifier for potential clinical use and obtained a set of 50 genes and 20 TE integrants with the best ability to identify CMS subtypes. Our integrative model could be a major add on for the development of future clinical trials by improving patient stratification over current gene-restricted molecular classifications.

EPFL2022

KRAB zinc-finger proteins and their transposable element targets: between antagonism and cooperation

Jonas Caspar De Tribolet-Hardy

There are 377 Krüppel-associated box (KRAB) domain-containing zinc finger proteins (KZFPs) in the human genome, making them the largest family of transcription factors. KZFPs are defined by a N-terminal KRAB domain and several zinc-finger domains arranged in an array at the C-terminus of the proteins. The zinc-finger domains each form sequence specific interactions with double stranded DNA, allowing the zinc-finger array to target specific genomic sequences. The KRAB domain, through its interaction with the protein TRIM28 (also known as KAP1) allows for the stable silencing of transcription in a genomic region. Together these two domains allow KZFPs to bind specific regions of the genome and generally lead to the formation of heterochromatin and silencing of transcription allthough other functions for some KZFPs have been recently reported. KZFPs usually target transposable elements (TEs), mobile genomic elements that can move through the genome either by cut-and-paste or copy-paste mechanisms and make up almost half of the human genome. Different KZFPs bind to specific regions of TEs, limiting their expression and thus mitigating some of the threat they pose to human development, allowing both the TE and its host to survive. In recent years it became apparent that both certain TEs and KZFPs have roles beyond the previously described threat and mitigation of that threat. TEs harbor gene regulatory regions allowing, through their spread, for a dissemination of those regions through the genome and for new gene regulatory networks to form. KZFPs can affect the transcription of genes located in proximity to their binding sites leading to changes in gene regulation as well. A multitude of regulatory roles involving KZFPs and TEs have been described in recent years making them an exciting field of study. A major hurdle in understanding both KZFPs and TEs is to identify the binding sites of KZFPs, as they reveal both the targets of the KZFP and how, if at all, a TE is regulated by KZFPs. To do so, we expanded on previous efforts and aimed to perform chromatin immunoprecipitation followed by massively parallel sequencing (ChIP-seq) on every member of the human KZFP family. Here we present ChIP-seq experiments for 110 new KZFPs, which together with previously published data, allow us to study the binding of almost all human KZFPs (95%). The entirety of the data was analysed together to generate a coherent dataset and results for each KZFP are made available to the public on our web portal (https://tronoapps.epfl.ch/web/krabopedia/). The identified binding sites allowed us to witness the adaptation of the KZFP family to new TEs and showed how targeted sequences shift after segmental gene duplication events. Furthermore, we could corroborate that several KZFPs target the same TE subfamilies in a seemingly redundant fashion and show that unexpectedly these KZFPs arose independently in different genomic locations. These results represent a valuable tool for anyone studying KZFPs and should aid in the pursuit of both understanding KZFPs and TEs.

EPFL2022

The Gene Family-Free Median of Three

Metin Balaban

The gene family-free framework for comparative genomics aims at developing methods for gene order analysis that do not require prior gene family assignment, but work directly on a sequence similarity graph. We present a model for constructing a median of three genomes in this family-free setting, based on maximizing an objective function that generalizes the classical breakpoint distance by integrating sequence similarity in the score of a gene adjacency. We show that the corresponding computational problem is MAX SNP-hard and we present a 0-1 linear program for its exact solution. The result of this program is a median genome with median genes associated to extant genes, in which median adjacencies are assumed to define positional orthologs. We demonstrate through simulations and comparison with the OMA orthology database that the herein presented method is able compute accurate medians and positional orthologs for genomes comparable in size of bacterial genomes.

Springer AG2016

Integrative transcriptome analyses of Transposable Elements (TEs) and genes contribute to a better understanding of colorectal cancer

Eunji Shin

EPFL2022

KRAB zinc-finger proteins and their transposable element targets: between antagonism and cooperation

Jonas Caspar De Tribolet-Hardy

EPFL2022