Mapping translation sites in the human genome

Mapping translation sites in the human genome

Now, John Chaput and his colleagues at Arizona State University's Biodesign Institute have produced the first genome-wide investigation of cap-independent translation, identifying thousands of mRNA sequences that act as Translation Enhancing Elements (TEEs), which are RNA sequences upstream of the coding region that help recruit the ribosome to the translation start site.

The new study outlines a technique for mining whole genomes for sequences that initiate cap-independent translation within the vastness of the genome.

The research has important implications for the fundamental understanding of translation in living systems, as well as intriguing potential in the biomedical arena. (Many viral pathogens are known to use cap-independent translation to hijack and redirect cellular mechanisms to translate viral proteins.)

The lead author of the study is Brian P. Wellensiek, a senior scientist in Biodesign's Center for Evolutionary Medicine and Informatics. The group's results appear in the current issue of the journal Nature Methods.

During most protein synthesis in eukaryotic cells, cap-dependent translation dominates. The process begins after DNA is first transcribed into mRNA, with the aid of an enzyme polymerase. mRNA now forms the coded template from which the translated proteins will be generated. The mRNA code consists of sequences made from 4 nucleic acids, A, C, G & U, with each 3-letter grouping (known as a codon), corresponding to one amino acid in the protein being synthesized.

A key component in the translation process is the ribosome, which migrates along the single stranded mRNA, reading the codons as it goes. Before it can do this however, it must locate a special structure at the 5' end of the mRNA strand known as the cap. In normal cap-dependent translation, the ribosome is recruited to the 5' end of mRNA via a specialized cap-binding complex.

Cap-independent translation allows the ribosome to begin reading the mRNA message without having to first locate the 5' cap structure. Cap-independent translation occurs in eukaryotic cells during normal processes including mitosis and apoptosis (or programmed cell death). It is also a feature in many forms of viral translation, where the viral transcript is able to recruit the ribosome and co-opt its function to preferentially translate viral RNA.

In the current study, Chaput designed an in vitro selection strategy to identify human genome sequences that initiate cap-independent translation. The technique is able to select candidates from a pool of trillions of genomic fragments. Once a set of sequences was identified as translation enhancing elements, they were shown to function effectively in both cell-free and cellular translation systems.

As Chaput explains, most research on cap-independent translation has been conducted using RNA fragments derived from viruses. "These RNA molecules will fold into shapes that appear to mimic some of the initiation factors that that you would find in eukaryotic translation," he says. More recently, similar RNA molecules have been identified in cellular systems, though the sequences tend to be much shorter and function in a different manner.

Chaput's method of studying such sequences on a genome-wide scale involves first generating a DNA library of the entire human genome. Using enzymes, the genome is cut into random fragments of around 200 base pairs each. These sequences are then transcribed into mRNA.

Applying a technique known as mRNA display, the fragments are tagged in specific way, such that amino acid sequences resulting from successful translation events remain bound to the mRNA fragments that generated them. "Essentially, what we're doing is taking a library of human mRNA and tagging those sequences that act as translation enhancing elements," Chaput says. Those sequences bearing an attached peptide affinity tag can then be separated out from the remaining untranslated sequences, reverse transcribed, amplified using PCR technology and subjected to subsequent rounds of selection.

The sequences were later mapped onto the human genome. As expected, the complete library of sequences used at the start of the experiments mapped fairly evenly across the genome. But the sequences selected via mRNA display as translation enhancing elements tended to cluster in non-coding regions of the genome. The authors speculate that such sequences may have been evolutionarily selected against, as they have the potential to disrupt normal cap-dependent translation.

Roughly 20 percent of the translation enhancing elements functioned as internal ribosomal initiation sites, again turning up primarily in non-coding genomic regions. The origin of these sequences remains mysterious. It is conceivable that they were surreptitiously brought on board as a result of human interaction with different types of viruses.

Once Chaput's group had acquired a library of 250 distinct translation enhancing elements through selection using mRNA display, the sequences were screened for translation enhancing activity, which was quantified using a light based assay employing a luciferase reporter molecule.

By measuring levels of luciferase, the enhancement of each sequence could be assessed relative to background noise, with the better translation enhancing elements displaying 50-100 fold enhancement (and some as much as 1000-fold enhancement). The next step was to determine which of these sequences could function as internal ribosomal initiation sites.

To do this, the same 250 sequences were inserted into a vector bearing a hairpin structure. As Chaput explains: "If the ribosome latched onto the 5' end, it would hit that hairpin and would fall off. However if the ribosome skipped the hairpin and recognized the sequence on the other side of the hairpin independently and translated it, that's an indication that the sequence is functioning as an internal ribosomal initiation site." Both assays (for translation enhancement and internal ribosomal initiation) were validated under cell-free conditions and in human cells, using a vaccinia virus vector.

A study of this scope is possible thanks to innovative techniques for in vitro selection (such as mRNA display), as well as a revolutionary technology permitting massively parallel RNA sequencing (known as deep sequencing), which provides unprecedented speed and read accuracy.

Much remains to be learned about atypical translation processes. The mechanism of action for translation enhancing elements is still obscure, particularly in the case of internal ribosomal initiation sites. Similarly, the particular gene products that may result from cap-independent translation have yet to be identified and characterized.

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