RNA performs a given function itself (non-coding RNA, or ncRNAs). Human genome and transcriptome sequencing show that approximately 76 % of the genome is transcribed, but only 2 % of this codes ...

The involvement of noncoding mRNAs in many regulatory ... has led to the hypothesis that an "RNA world" may have preceded the evolution of DNA and proteins (Gilbert, 1986). Small interfering ...

Regions of DNA that do not code for proteins may also be considered genes if they produce noncoding RNA with biological functions. Protein-coding versus noncoding genes When deciding the number of ...

Indeed, advances in technology have revealed that much of the noncoding genome gives rise to lncRNAs and other RNA molecules that affect all manner of cellular processes. “The vast majority of the ...

RNA is similar to DNA but contains uracil instead of thymine (T ... Other ribozymes include self-splicing introns and the RNA component of the enzyme telomerase. Non-coding RNA molecules, such as ...

Researchers from Children's Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of ...

It is the first big biopharma group to tap into Haya's platform, which identifies genes coding for long non-coding RNA (lncRNA), a group that makes up a large proportion of the genome. That is a ...

The research team found that a specific muscle protein, known as MEF2C, is significantly reduced in muscle cells with CP.

Three unrelated children with deletions of CHASERR, a long non-coding RNA, had a severe neurological ... they did a follow-up genome -- not just looking at the exome, but the overwhelming majority ...

Two types of RNA in our cell: Coding RNA directs cells to make proteins; Non-coding RNA performs a wide range of activities including gene regulation and maintaining chromosome structure.

Importantly, well over half of the human genome is devoted to producing ... The MUSC researchers focused on long non-coding enhancer RNA (Inc-eRNA), a specific type of lncRNA that interacts ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.