H2020Индивидуална стипендия2020–2022

EvolSpliceKinetics · From co-transcriptional splicing kinetics to the evolutionary impact of exon and intron definition

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2020-08-01 → 2022-07-31
Финансиране от ЕС
147 815 €
Участници
1
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Процесът на сплизинг изследва как клетката премахва ненужните части (интрони) от РНК молекулата, докато тя все още се създава. Разбирането на тези механизми помага да се обясни появата на заболявания, причинени от грешки при преписването на генетичната информация.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

From co-transcriptional splicing kinetics to the evolutionary impact of exon and intron definition

Biological systems often bewilder the observer with their staggering levels of complexity. This complexity creates a vulnerability – each of the cogs in the machine could potentially break, perhaps leading to disease. A prime example of such complexity is a process referred to as splicing, a key step in gene expression. A gene is said to be “expressed” when its DNA sequence is transcribed into an RNA molecule, which then either directly carries out the biological functions of the gene, or serves as a template for the production of a protein. In both cases, most RNAs must first undergo splicing – a processing step, where certain regions of the RNA (“introns”) are removed and the remainder (“exons”) ligated together again. Our genes are pock-marked throughout with scores of tiny sequence signals, which combine in a complex code, allowing the cell to recognize which regions are exons and which are introns. Disruption of either these sequence signals or the proteins that recognize them can lead to malformed RNAs being produced, sometimes with disastrous consequences. Indeed, about a third of disease-causing mutations in humans disrupt splicing. Adding to this complexity, it is now known that often, introns located towards the start of the RNA molecule are spliced out whilst transcription of regions further down is still in progress. This is referred to as “co-transcriptional” splicing, and it opens up completely new ways of thinking about the process. Rather than simply considering the end product of splicing – which regions are removed and which ones remain – one can now turn the spotlight on the dynamics of the process. How do splicing and transcription affect one another, given that they often happen simultaneously? Are all introns removed equally fast? Do the sequence signals that control splicing differ for introns with slow and fast splicing? In this project, I have studied the dynamics of co-transcriptional splicing in the fruit fly Drosophila melanogaster, a species whose genes have widely varying exon-intron structures. I have found the dynamics of splicing to vary dramatically between introns. Moreover, the kinetics of how an RNA is transcribed appear to co-vary with the kinetics of its splicing. In addition, the project led me to interact with scientists from a wide array of backgrounds. I realized how gravely research was often hampered by the fact that young researchers were not sufficiently trained in statistical thinking. Hence, a further goal of the project became to implement interventions to address this challenge.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The need to preserve correct splicing is a major source of constraint on sequence evolution. This includes selection on the splice sites as well as on regulatory elements in exons and introns. Are all exons and introns constrained similarly by splicing related pressures? This is a crucial problem not only for understanding genome evolution but also for predicting where disease-causing mutations occur.Any variation in the prevalence of splicing information most likely reflects mechanistic variation in how the splicing process unfolds at different introns. Notably, it is often assumed that the relative importance of intronic and exonic splicing information depends on whether the splicing machinery recognizes introns or exons as the initial unit. However, this common model has never been tested directly because it is currently not possible to investigate splicing mechanism at this level of detail genome-wide. Existing studies on the distribution of splicing information are therefore based on proxies of unclear mechanistic significance, such as intron size. My host lab has developed a nascent RNA sequencing technique that allows unprecedented insight into splicing dynamics transcriptome-wide. They have recently applied this method to Drosophila melanogaster, a species thought to use a diversity of splicing strategies. I propose to use this data, combined with a machine learning approach, to conduct the first genome-wide study into exon and intron definition based on direct kinetic evidence. I will then use population genetics methods to determine how the prevalence and strength of selection on different types of splicing information covaries with splicing dynamics.

Оригинален текст от CORDIS (на английски).

Участници

  • INSTITUTO DE MEDICINA MOLECULAR JOAO LOBO ANTUNES · LisboaКоординаторПортугалия

Връзки

Данни: CORDIS, © Европейски съюз