#ASHG20 HYC
Genome Regulation by Long Noncoding RNAs.
Howard Y. Chang.
#ASHG20 HYC RNA localizatin is both a prevalent phenomenon and an important one. Variation that affects RNA localization can lead to phenotypic differences.
#ASHG20 HYC If you understand where RNA is going you can understand more about what it does.
#ASHG20 HYC APEX-Seq - a proximity RNA labeling and sequencing method. Fuse APEX protein to a landmark protein in the cell. Labels RNA in close physical proximity 5 - 10 nm resolution.
#ASHG20 HYC HEK293 cells tested with 9 different landmarks labeling different components of the cell (nucleus, cytoplasm, mitochondrial membrane, mito matrix, etc).
#ASHG20 HYC Example - XIST. You see that it is in the nucleus and in close proximity to lamin B1. Different transcripts show different patterns. IARS2. Mature forms only seen in outer mitochondrial membrane.
#ASHG20 HYC >3000 human RNAs show specific sub-cellular localization. Some transcript localize to nucleus, many are long non-coding RNAs. Most transcripts are localized to just 1 or 2 locations, but not diffusely all over the cell.
#ASHG20 HYC Introns are retained in some transcripts through various defects. Where does this go? Most retained introns are excluded from the nuclear pore. Get stuck in nuclear lamina.
#ASHG20 HYC Isoform switching can cause changes in RNA localization.
#ASHG20 HYC Make RNA-GPS - a machine learning model of RNA localization.
Paper: bit.ly/3jJ6PTw
Area under curve 0.77. Precision / Recall 0.49.
#ASHG20 HYC Can mutagenize to see effect of localization. Can also apply RNA-GPS for RNA sub-cellular localization of viruses. Example of SARS-CoV2. Predicts several RNA localization signals.
#ASHG20 HYC Double membrane vesicles are important for SARS-CoV-2 replication. Where does membrane come from? Suggest maybe mitochondria as it has a double-membrane normally.
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#ASHG20 XX
Deciphering the function of single-nucleotide variants in the RNA.
Xinshu Xiao.
#ASHG20 XX How do you go from genotype to phenotypes with so much genetic data? Long way to go to tackle this challenge. Many different players from genotypes - phenotypes. Complex, interacting pathways lead to final phenotype.
#ASHG20 XX Many steps exist between RNA expression to degradation. Alternative polyadenylation. Alternative isoforms. RNA editing. From same DNA sequence diverse spectrum of RNA molecules can be produced.
#ASHG20 MAC
Impairment of the mitochondrial one-carbon metabolism enzyme SHMT2 causes a novel brain and heart developmental syndrome.
Margot A. Cousin.
#ASHG20 MAC SHMT2 encodes the mitochrondrial serine hydroxymethyltransferase 2. Loss embryonic lethal in mice. Both mitochondrial and cytosolic functions.
#ASHG20 MAC [ primarily mitochondrial though. ] Individuals with biallelic SHMT2 variants - 5 individuals with similar phenotypes from 4 families.
#ASHG20 HCM
Increased p4EBP1 underlies ALS pathology associated to P56S mutant VAPB.
Helen Cristina Miranda.
#ASHG20 HCM Amyotrophic lateral sclerosis (ALS). Most common type of adult-onset motor neuron disease. About 50% survive past 3rd year diagnosis. 10% familial. 90% sporadic.
#ASHG20 HCM Involves both upper and lower motor neurons. Many genes associated with ALS. >25 genes associated with familial, sporadic, or both versions.
#ASHG20 VF
Impaired eIF5A function causes a craniofacial-neurodevelopmental syndrome that is partially rescued in model systems by spermidine.
Victor Faundes.
#ASHG20 VF by trio whole exome find de novo heterozygous frameshift in EF15A in a patient with a syndrome similar to Kabuki syndrome.
#ASHG20 VF Used Gene Matcher to find additional patients with similar phenotypic featurs. Find additional EIF5A variants in these patients. Developmental delay. Microcephaly, micrognathia.
#ASHG20 DB
Common genetic variants associated with Mendelian disease severity revealed through cryptic phenotype analysis.
David Blair.
#ASHG20 DB Clinical heterogeneity is common rare Mendelian-like diseases. [ I'd go further and say that variation is rule. Just blanket variability is the rule. ]
#ASHG20 DB Looked at morbidity-dependent model for quantitative traits (MDGM). Cryptic phenotype inference (CPA).