Brain organoid model shows molecular signs of Alzheimer’s before birth

In a model of human fetal brain development, Emory researchers can see perturbations of epigenetic markers in cells derived from people with familial early-onset Alzheimer’s disease, which takes decades to appear. This suggests that in people who inherit mutations linked to early-onset Alzheimer’s, it would be possible to detect molecular changes in their brains before birth. The results were published in the journal Cell Reports. “The beauty of using organoids is that they allow us to Read more

The earliest spot for Alzheimer's blues

How the most common genetic risk factor in AD interacts with the earliest site of neurodegeneration Read more

Make ‘em fight: redirecting neutrophils in CF

Why do people with cystic fibrosis (CF) have such trouble with lung infections? The conventional view is that people with CF are at greater risk for lung infections because thick, sticky mucus builds up in their lungs, allowing bacteria to thrive. CF is caused by a mutation that affects the composition of the mucus. Rabindra Tirouvanziam, an immunologist at Emory, says a better question is: what type of cell is supposed to be fighting the Read more

tRNA

Don’t go slippery on me, tRNA

RNA can both carry genetic information and catalyze chemical reactions, but it’s too wobbly to accurately read the genetic code by itself. Enzymatic modifications of transfer RNAs – the adaptors that implement the genetic code by connecting messenger RNA to protein – are important to stiffen and constrain their interactions.

Biochemist Christine Dunham’s lab has a recent paper in eLife showing a modification on a proline tRNA prevents the tRNA and mRNA from slipping out of frame. The basics of these interactions were laid out in the 1980s, but the Dunham lab’s structures provide a comprehensive picture with mechanistic insights.

The mRNA code for proline is CCC – all the nucleotides are the same — so it is susceptible to frameshifting.

The paper includes videos that virtually unwrap the RNA interactions. The X-ray crystal structures indicate that tRNA methylation – a relatively small bump — at position 37 influences interactions between the tRNA and the ribosome.

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Tracking a frameshift through the ribosome

Ribosomes, the factories that assemble proteins in cells, read three letters of messenger RNA at a time. Occasionally, the ribosome can bend its rules, and read either two or four nucleotides, altering how downstream information is read: frameshifting.

This week, Christine Dunham’s lab in the Department of Biochemistry has a paper in PNAS on how ribosomal frameshifting works, one of several she has published on this topic. The first author is postdoc Samuel Hong, now at MD Anderson. A commentary in PNAS calls their paper a “major advance” and “culmination of a half-century quest.”

A suppressor tRNA can occupy more than one site on the ribosome. Adapted figure courtesy of Christine Dunham

Some antibiotics disrupt protein synthesis by encouraging frameshifting to occur, so a thorough understanding of frameshifting benefits antibiotic research. Also, scientists are aiming to use the process to customize proteins for industrial and pharmaceutical applications, by inserting amino acid building blocks not found in nature.

When mutations add or subtract a letter from a protein-coding gene, that usually turns the rest of the gene to nonsense. Compensatory mutations in the same gene can push the genetic letters back into the correct frame. However, others are separate, found within the machinery for translating the genetic code, namely transfer RNAs: the adaptors that bring amino acids into the ribosome. Suppressor tRNAs can compensate for a forward frameshift in another gene.

The Dunham lab’s new paper solves the structure of a bacterial ribosome undergoing “recoding” influenced by a suppressor tRNA. Her group had previously captured how the ribosomes decode this tRNA in one site of the ribosome, the aminoacyl or A site, in a 2014 PNAS paper. The new structures show how the tRNA moves through the ribosome out-of-frame to recode. The tRNA undergoes unusual rearrangements that cause the ribosome to lose its grip on the mRNA frame and allows the tRNA to form new interactions with the ribosome to shift into a new reading frame.

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A new frame of reference — on ribosome frameshifting

It’s a fundamental rule governing how the genetic code works. Ribosomes, the factories that assemble proteins in all types of living cells, read three letters (or nucleotides) of messenger RNA at a time.

In some instances, the ribosome can bend its rules, and read either two or four nucleotides, altering how downstream information is read. Biologists call this normally rare event ribosomal frameshifting. For an ordinary gene, the event of a frameshift turns the rest of the ensuing protein into nonsense. However, many viruses exploit frameshifting, because they can then have overlapping genes and fit more information into a limited space.

Regulated frameshifting takes place in human genes too, and understanding frameshifting is key to recent efforts to expand the genetic code. Researchers are aiming to use the process to customize proteins for industrial and pharmaceutical applications, by inserting amino acid building blocks not found in nature.

“Going back to the 1960s, when the genetic code was first revealed, there were many studies on ribosomal frameshifting, yet no-one really knows how it works on a molecular and mechanistic level,” says Christine Dunham, PhD, assistant professor of biochemistry at Emory University School of Medicine. “What we do know is that the ‘yardstick’ model that appears in a lot of textbooks, saying that the anticodon loop dictates the number of nucleotides decoded, while elegant, is probably incorrect.”

Dunham, who first studied the topic as a postdoc, and her colleagues published a paper this week in PNAS where they outline a model for how ribosomal frameshifting occurs, based on structural studies of the ribosome interacting with some of its helper machinery. Co-first authors of the paper are postdoctoral fellows Tatsuya Maehigashi, PhD and Jack Dunkle, PhD.

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