Explore the words cloud of the Allelic Regulation project. It provides you a very rough idea of what is the project "Allelic Regulation" about.
The following table provides information about the project.
|Coordinator Country||Sweden [SE]|
|Total cost||1˙923˙060 €|
|EC max contribution||1˙923˙060 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2015-07-01 to 2020-06-30|
Take a look of project's partnership.
|1||KAROLINSKA INSTITUTET||SE (STOCKHOLM)||coordinator||1˙923˙060.00|
As diploid organisms inherit one gene copy from each parent, a gene can be expressed from both alleles (biallelic) or from only one allele (monoallelic). Although transcription from both alleles is detected for most genes in cell population experiments, little is known about allele-specific expression in single cells and its phenotypic consequences. To answer fundamental questions about allelic transcription heterogeneity in single cells, this research program will focus on single-cell transcriptome analyses with allelic-origin resolution. To this end, we will investigate both clonally stable and dynamic random monoallelic expression across a large number of cell types, including cells from embryonic and adult stages. This research program will be accomplished with the novel single-cell RNA-seq method developed within my lab to obtain quantitative, genome-wide gene expression measurement. To distinguish between mitotically stable and dynamic patterns of allelic expression, we will analyze large numbers a clonally related cells per cell type, from both primary cultures (in vitro) and using transgenic models to obtain clonally related cells in vivo.
The biological significance of the research program is first an understanding of allelic transcription, including the nature and extent of random monoallelic expression across in vivo tissues and cell types. These novel insights into allelic transcription will be important for an improved understanding of how variable phenotypes (e.g. incomplete penetrance and variable expressivity) can arise in genetically identical individuals. Additionally, the single-cell transcriptome analyses of clonally related cells in vivo will provide unique insights into the clonality of gene expression per se.
|year||authors and title||journal||last update|
BjÃ¶rn Reinius, Jeff E Mold, Daniel RamskÃ¶ld, Qiaolin Deng, Per Johnsson, Jakob MichaÃ«lsson, Jonas FrisÃ©n, Rickard Sandberg
Analysis of allelic expression patterns in clonal somatic cells by single-cell RNAâ€“seq
published pages: 1430-1435, ISSN: 1061-4036, DOI: 10.1038/ng.3678
|Nature Genetics 48/11||2019-06-07|
Sophie Petropoulos, Daniel EdsgÃ¤rd, BjÃ¶rn Reinius, Qiaolin Deng, SaritaÂ Pauliina Panula, Simone Codeluppi, Alvaro PlazaÂ Reyes, Sten Linnarsson, Rickard Sandberg, Fredrik Lanner
Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
published pages: 1012-1026, ISSN: 0092-8674, DOI: 10.1016/j.cell.2016.03.023
Daniel EdsgÃ¤rd, BjÃ¶rn Reinius, Rickard Sandberg
scphaser: haplotype inference using single-cell RNA-seq data
published pages: 3038-3040, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btw484
Ã…sa Segerstolpe, Athanasia Palasantza, Pernilla Eliasson, Eva-Marie Andersson, Anne-Christine AndrÃ©asson, Xiaoyan Sun, Simone Picelli, Alan Sabirsh, Maryam Clausen, Magnus K. Bjursell, DavidÂ M. Smith, Maria Kasper, Carina Ã„mmÃ¤lÃ¤, Rickard Sandberg
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
published pages: 593-607, ISSN: 1550-4131, DOI: 10.1016/j.cmet.2016.08.020
|Cell Metabolism 24/4||2019-06-07|
BjÃ¶rn Reinius, Rickard Sandberg
Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation
published pages: 653-664, ISSN: 1471-0056, DOI: 10.1038/nrg3888
|Nature Reviews Genetics 16/11||2019-06-07|
Omid R Faridani, Ilgar Abdullayev, Michael Hagemann-Jensen, John P Schell, Fredrik Lanner, Rickard Sandberg
Single-cell sequencing of the small-RNA transcriptome
published pages: 1264-1266, ISSN: 1087-0156, DOI: 10.1038/nbt.3701
|Nature Biotechnology 34/12||2019-05-07|
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