Opendata, web and dolomites

MoDATS SIGNED

Model-based Data Analysis of Transcription and Splicing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MoDATS project word cloud

Explore the words cloud of the MoDATS project. It provides you a very rough idea of what is the project "MoDATS" about.

polymerization    integrating    types    cells    completion    paradigm    removal    encoding    acute    multiple    fundamental    model    genomic    gene    complicates    components    interplay    scientists    resolved    stochastic    collect    spliced    kinetics    mechanisms    interactions    yielded    expression    proposes    coding    struggle    mrna    gigabytes    modern    mechanism    polymerase    models    nascent    give    estimate    biologists    analyze    messenger    machinery    regions    labeling    produces    unknown    statistical    rna    splicing    generation    ing    ways    biology    protein    experimentalists    transcribed    genome    transcription    partial    interrogate    formulated    distributions    elongation    probability    underlying    decades    molecular    ngs    template    thousands    eukaryotic    data    time    previously    intermediate    simultaneously    quantify    genes    shows    functional    biological    coupled    dna    constitutive    talk    regulates    effect    observations    sequencing    phenomenon    cross    mrnas    framework    transcripts    molecules    noisy   

Project "MoDATS" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF EDINBURGH 

Organization address
address: OLD COLLEGE, SOUTH BRIDGE
city: EDINBURGH
postcode: EH8 9YL
website: www.ed.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://ewallace.github.io/
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-01-05   to  2018-01-19

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) coordinator 195˙454.00

Map

 Project objective

Gene expression is the fundamental process that in all cells produces functional protein from a genomic DNA template using a messenger RNA (mRNA) intermediate. Eukaryotic gene expression involves transcription--the polymerization of mRNA--and splicing--the removal of non-coding regions from the mRNA. Recent evidence shows that nascent mRNAs are spliced while still being transcribed, not after completion of transcription, and that splicing machinery regulates transcription. This cross-talk complicates understanding of gene expression, as its mechanism and consequences are not understood. This project proposes using model-based data analysis, applied to multiple types of data, to study the kinetics of coupled transcription and splicing.

Model-based data analysis is a statistical framework in which models are formulated as probability distributions encoding the stochastic interactions between components, including observed data. Knowledge of the underlying mechanism--here, biological--is used to quantify both the phenomenon, and the uncertainty resulting from partial knowledge and noisy observations. The need for such analysis is acute in modern biology: decades of molecular biology have yielded detailed information on specific molecules and pathways, and now next-generation sequencing (NGS) allows scientists to collect gigabytes of data on thousands of distinct molecules simultaneously. Yet, integrating these approaches is challenging: biologists struggle to analyze NGS data in ways that give insight into known--and previously unknown--biological mechanisms.

Here, the model-based data analysis paradigm will be used to interrogate the interplay of transcription and splicing, using state-of the art data including time-resolved NGS measurements of RNA processing. Working with experimentalists, we will quantify the kinetics of splicing in constitutive genes by labeling nascent transcripts, and estimate the effect of splicing on polymerase elongation genome-wide.

 Publications

year authors and title journal last update
List of publications.
2017 Edward W.J. Wallace, Jean D. Beggs
Extremely fast and incredibly close: cotranscriptional splicing in budding yeast
published pages: 601-610, ISSN: 1355-8382, DOI: 10.1261/rna.060830.117
RNA 23/5 2019-06-18
2017 Oana Carja, Tongji Xing, Edward W. J. Wallace, Joshua B. Plotkin, Premal Shah
riboviz: analysis and visualization of ribosome profiling datasets
published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-017-1873-8
BMC Bioinformatics 18/1 2019-06-18

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MODATS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "MODATS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

NSTree (2020)

Understanding substrate delivery for cell wall biosynthesis in plants

Read More  

MetEpiC (2020)

P53-dependent Metabolic and Epigenetic Reprogramming in Carcinogenesis

Read More  

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More