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|    A multiomics approach provides insights     |
|    22 May 23 22:30:20    |
      MSGID: 1:317/3 646c4166       PID: hpt/lnx 1.9.0-cur 2019-01-08       TID: hpt/lnx 1.9.0-cur 2019-01-08        A multiomics approach provides insights into flu severity                Date:        May 22, 2023        Source:        Kyoto University        Summary:        Researchers were able to identify changes in the accessibility        (that is, the 'readability') of transposable elements. To do        this, the researchers used an approach combining various sets of        multiomics data, which characterize and quantify collections of        biomolecules in cells or organisms. One was the transcriptome,        which consists of all copies of RNA transcribed from DNA in the        cell. The other was the epigenome, which is the collection of        chemical changes to DNA that modify gene expression. An advantage        of this multiomics approach is that they were able to identify        families of transposable elements with changes in accessibility,        which would have likely been missed by previous approaches.                      Facebook Twitter Pinterest LinkedIN Email              ==========================================================================       FULL STORY       ==========================================================================       Have you ever wondered why some people might get sicker than others, even       when they catch the same virus? It is not yet clear why this is. Viral       factors (such as differences in the strain of a virus) play a role in       this variability, but they cannot account for the wide range of responses       in different individuals infected by the same virus. A number of host       factors have also been considered, including pre-existing immunity, age,       sex, weight, and the microbiome.              Another important factor is the molecular biology within your cells. DNA       is shown as one long double-helical strand. So, you might expect that       the cell would always read genetic information in order, starting at       one end and going to the other. But this isn't the case. DNA contains       transposable elements , sometimes called "junk DNA," which can change       the regions of the genome are being read at a given time.              The work published in Cell Genomics by an international team led by Dr.              Guillaume Bourque, who studied the role of these transposable elements       on the severity of illness after influenza A virus infection.              By examining data from 39 individuals before and after infection with       influenza A virus, the researchers were able to identify changes in the       accessibility (that is, the "readability") of transposable elements. To       do this, the researchers used an approach combining various sets       of multiomics data, which characterize and quantify collections of       biomolecules in cells or organisms.              One was the transcriptome, which consists of all copies of RNA transcribed       from DNA in the cell. The other was the epigenome, which is the collection       of chemical changes to DNA that modify gene expression. An advantage of       this multiomics approach is that they were able to identify families of       transposable elements with changes in accessibility, which would have       likely been missed by previous approaches.              By considering these changes in transposable elements after viral       infection, they could identify several transcription factors (proteins       that turn specific genes "on" or "off") that likely contribute to       someone's response to infection.              Using these findings, the researchers were able to create a model that       could predict an individual's viral load after influenza A infection.              "A number of questions remain, such as whether the link between       transposable elements and viral load is actually causal and whether       these changes would be consistent over time," says lead author Xun       Chen. "But these findings are an important step toward understanding       the role that such factors play in the variability of illness severity       among individuals." The authors include researchers from Kyoto University       in Japan, McGill University and the Universite' de Montre'al in Canada,       and the University of Chicago in the US.               * RELATED_TOPICS        o Health_&_Medicine        # Viruses # Genes # Human_Biology # Infectious_Diseases        o Plants_&_Animals        # Virology # Bird_Flu_Research # Biochemistry_Research        # Biology        * RELATED_TERMS        o DNA_repair o DNA o DNA_microarray o Computational_genomics        o RNA o Telomere o Gene o Molecular_biology              ==========================================================================       Story Source: Materials provided by Kyoto_University. Note: Content may       be edited for style and length.                     ==========================================================================       Journal Reference:        1. Xun Chen, Alain Pacis, Katherine A. Aracena, Saideep Gona,        Tony Kwan,        Cristian Groza, Yen Lung Lin, Renata Sindeaux, Vania Yotova, Albena        Pramatarova, Marie-Michelle Simon, Tomi Pastinen, Luis B. Barreiro,        Guillaume Bourque. Transposable elements are associated with the        variable response to influenza infection. Cell Genomics, 2023; 3        (5): 100292 DOI: 10.1016/j.xgen.2023.100292       ==========================================================================              Link to news story:       https://www.sciencedaily.com/releases/2023/05/230522131353.htm              --- up 1 year, 12 weeks, 10 hours, 50 minutes        * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! 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