scholarly journals Cardiometabolic risk loci share downstream cis- and trans-gene regulation across tissues and diseases

Science ◽  
2016 ◽  
Vol 353 (6301) ◽  
pp. 827-830 ◽  
Author(s):  
O. Franzen ◽  
R. Ermel ◽  
A. Cohain ◽  
N. K. Akers ◽  
A. Di Narzo ◽  
...  
Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 195 ◽  
Author(s):  
Guillermo de Anda-Jáuregui ◽  
Jesús Espinal-Enriquez ◽  
Enrique Hernández-Lemus

Gene regulation may be studied from an information-theoretic perspective. Gene regulatory programs are representations of the complete regulatory phenomenon associated to each biological state. In diseases such as cancer, these programs exhibit major alterations, which have been associated with the spatial organization of the genome into chromosomes. In this work, we analyze intrachromosomal, or cis-, and interchromosomal, or trans-gene regulatory programs in order to assess the differences that arise in the context of breast cancer. We find that using information theoretic approaches, it is possible to differentiate cis-and trans-regulatory programs in terms of the changes that they exhibit in the breast cancer context, indicating that in breast cancer there is a loss of trans-regulation. Finally, we use these programs to reconstruct a possible spatial relationship between chromosomes.


Nature ◽  
2004 ◽  
Vol 430 (6995) ◽  
pp. 85-88 ◽  
Author(s):  
Patricia J. Wittkopp ◽  
Belinda K. Haerum ◽  
Andrew G. Clark

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Xuanyao Liu ◽  
Joel A. Mefford ◽  
Andrew Dahl ◽  
Yuan He ◽  
Meena Subramaniam ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 436-436
Author(s):  
Patrick A Navas ◽  
Yongqi Yan ◽  
Minerva E Sanchez ◽  
Ericka M Johnson ◽  
George Stamatoyannopoulos

Abstract Transcription activator-like effector nucleases (TALEN) are engineered proteins used for precise genome editing by generating specific DNA double strand that are repaired by homologous recombination and by non-homologous end joining. TALENs can be used to study gene regulation by deleting putative regulatory elements in the context of the native chromosome and measuring mRNA synthesis. We designed TALENs to delete individual DNAse I-hypersensitive sites (HS) of the β-globin locus control region (LCR) followed by an assessment of globin gene expression and assessment of epigenetic effects in K562 erythroleukemia cells. The β-globin LCR is composed of five HSs and functions as a powerful regulatory element responsible for appropriate levels of the five β-like globin genes during development. Introduction of plasmid DNA encoding a pair of TALENs and targeting individually the flanking region of the HS2, HS3 and HS4 core elements along with a donor 100 base single-stranded oligonucleotide resulted in the successful deletions of each of the three core elements in K562 cells. Individual K562 cells were seeded to produce clones and the mutations were screened by PCR to identify both heterozygous and homozygous clones. The TALEN-mediated 288 bp HS2 core deletion resulted 32 heterozygous (48.5%) and 6 homozygous clones (9.1%) in a total of 66 clones screened. K562 carries three copies of chromosome 11 emphasizing the robustness of TALEN technology to target each of the alleles. In the 199 bp HS3 core deletion, from 113 clones we identified 28 heterozygous (24.8%) and 3 (2.7%) homozygous clones. Lastly, the 301 bp HS4 core deletion yielded 9 homozygous (5.9%) and 12 heterozygous (7.9%) clones from 151 clones screened. Total RNA was isolated from wild-type K562 cells, and from both the heterozygous and homozygous mutant clones and subjected to RNase Protection analysis to quantitate the levels of globin mRNA. Deletion if the HS3 core in K562 cells in a ∼30% reduction in ε-globin mRNA and 2-fold reduction in γ-globin mRNA. A more dramatic effect on globin expression is observed in the HS2 core deletion, as ε- and γ-globin expression is reduced by 2- and 5-fold, respectively. These results suggest that HS2 contributes the majority of the LCR enhancer function in K562 cells. The HS4 core deletion resulted in a modest ∼20% reduction in both ε- and γ-globin expression. TALENs were designed to knockout trans-acting factors implicated to be involved in globin gene regulation and/or globin switching. TALENs bracketing the gene promoters and the first exon of 25 genes encoding either a transcription factor or histone-modifying enzyme were synthesized and post-transfection PCR screens of the transfected pool of K562 cells resulted in the successful identification of 17 gene knockouts. The 17 target genes are PRMT5, LDB1, EIF2AK3, BCL11A, HBSIL, MYB, SOX6, NFE4, NR2F2, NR2C1, NR2C2, CHTOP, NFE2, DNMT3A, RBBP4, MTA2 and MBD2. Single cell clones have been generated by limited dilution of transfected K562 pools and thus far we have identified heterozygous and homozygous clones of 8 of 17 gene knockouts, importantly all clones were identified without selection. The frequency of identifying the knockout clones, represented by the number of clones screened/ number of heterozygous clones/ number of homozygous clones, are as follows: HBS1L (63/3/0), SOX6 (68/13/2), NFE4 (56/13/7), LBD1 (300/2/0), MBD2 (301/0/1), CHTOP (288/66/6), NFE2 (712/44/5) and NR2C1 (96/40/11). The remaining nine gene knockouts and globin gene expression data will be presented at the meetings. These studies highlight a powerful TALEN-mutagenesis platform for target deletions of both cis- and trans-elements to study globin gene switching. TALENs can be synthesized in several days and the screening of the individual clones for the desired knockouts is completed within two weeks. This highly efficient mutagenesis platform will further our understanding of the molecular basis of globin switching. Disclosures: No relevant conflicts of interest to declare.


2006 ◽  
Vol 14 ◽  
pp. S134
Author(s):  
B. Mueller-Hilke ◽  
S. Mahr ◽  
G.-R. Burmester ◽  
U. Goebel ◽  
A. Gruetzkau ◽  
...  

Cell ◽  
2006 ◽  
Vol 126 (2) ◽  
pp. 248-250 ◽  
Author(s):  
Fabio Savarese ◽  
Rudolf Grosschedl

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Amy Li ◽  
Bjoern Chapuy ◽  
Xaralabos Varelas ◽  
Paola Sebastiani ◽  
Stefano Monti

AbstractThe emergence of large-scale multi-omics data warrants method development for data integration. Genomic studies from cancer patients have identified epigenetic and genetic regulators – such as methylation marks, somatic mutations, and somatic copy number alterations (SCNAs), among others – as predictive features of cancer outcome. However, identification of “driver genes” associated with a given alteration remains a challenge. To this end, we developed a computational tool, iEDGE, to model cis and trans effects of (epi-)DNA alterations and identify potential cis driver genes, where cis and trans genes denote those genes falling within and outside the genomic boundaries of a given (epi-)genetic alteration, respectively. iEDGE first identifies the cis and trans gene expression signatures associated with the presence/absence of a particular epi-DNA alteration across samples. It then applies tests of statistical mediation to determine the cis genes predictive of the trans gene expression. Finally, cis and trans effects are annotated by pathway enrichment analysis to gain insights into the underlying regulatory networks. We used iEDGE to perform integrative analysis of SCNAs and gene expression data from breast cancer and 18 additional cancer types included in The Cancer Genome Atlas (TCGA). Notably, cis gene drivers identified by iEDGE were found to be significantly enriched for known driver genes from multiple compendia of validated oncogenes and tumor suppressors, suggesting that the remainder are of equal importance. Furthermore, predicted drivers were enriched for functionally relevant cancer genes with amplification-driven dependencies, which are of potential prognostic and therapeutic value. All the analyses results are accessible at https://montilab.bu.edu/iEDGE. In summary, integrative analysis of SCNAs and gene expression using iEDGE successfully identified known cancer driver genes and putative cancer therapeutic targets across 19 cancer types in the TCGA. The proposed method can easily be applied to the integration of gene expression profiles with other epi-DNA assays in a variety of disease contexts.


2006 ◽  
Vol 78 (5) ◽  
pp. 793-803 ◽  
Author(s):  
Sandra Mahr ◽  
Gerd-Rüdiger Burmester ◽  
Dietmar Hilke ◽  
Udo Göbel ◽  
Andreas Grützkau ◽  
...  

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