scholarly journals Massively parallel identification of zipcodes in primary cortical neurons

2021 ◽  
Author(s):  
Marina Chekulaeva ◽  
Nicolai von Kügelgen ◽  
Samantha Mendonsa ◽  
Sayaka Dantsuji ◽  
Maya Ron ◽  
...  
Keyword(s):  
Cortical Neurons ◽  
Rna Binding ◽  
De Novo ◽  
Rna Binding Proteins ◽  
Regulatory Elements ◽  
Massively Parallel ◽  
Primary Cortical Neurons ◽  
Subcellular Compartments ◽  
Local Functions ◽  
Massively Parallel Reporter Assay

Abstract Cells adopt highly polarized shapes and form distinct subcellular compartments largely due to the localization of many mRNAs to specific areas, where they are translated into proteins with local functions. This mRNA localization is mediated by specific cis-regulatory elements in mRNAs, commonly called "zipcodes." Their recognition by RNA-binding proteins (RBPs) leads to the integration of the mRNAs into macromolecular complexes and their localization. While there are hundreds of localized mRNAs, only a few zipcodes have been characterized. Here, we describe a novel neuronal zipcode identification protocol (N-zip) that can identify zipcodes across hundreds of 3'UTRs. This approach combines a method of separating the principal subcellular compartments of neurons – cell bodies and neurites - with a massively parallel reporter assay. Our analysis identifies the let-7 binding site and (AU)n motif as de novo zipcodes in mouse primary cortical neurons and suggests a strategy for detecting many more.

scholarly journals Massively parallel identification of zipcodes in primary cortical neurons

2021 ◽  
Author(s):  
Nicolai von Kuegelgen ◽  
Samantha Mendonsa ◽  
Sayaka Dantsuji ◽  
Maya Ron ◽  
Marieluise Kirchner ◽  
...  
Keyword(s):  
Cortical Neurons ◽  
Rna Binding ◽  
De Novo ◽  
Rna Binding Proteins ◽  
Regulatory Elements ◽  
Massively Parallel ◽  
Primary Cortical Neurons ◽  
Subcellular Compartments ◽  
Local Functions ◽  
Massively Parallel Reporter Assay

Cells adopt highly polarized shapes and form distinct subcellular compartments largely due to the localization of many mRNAs to specific areas, where they are translated into proteins with local functions. This mRNA localization is mediated by specific cis-regulatory elements in mRNAs, commonly called "zipcodes." Their recognition by RNA-binding proteins (RBPs) leads to the integration of the mRNAs into macromolecular complexes and their localization. While there are hundreds of localized mRNAs, only a few zipcodes have been characterized. Here, we describe a novel neuronal zipcode identification protocol (N-zip) that can identify zipcodes across hundreds of 3'UTRs. This approach combines a method of separating the principal subcellular compartments of neurons - cell bodies and neurites - with a massively parallel reporter assay. Our analysis identifies the let-7 binding site and (AU)n motif as de novo zipcodes in mouse primary cortical neurons and suggests a strategy for detecting many more.

scholarly journals Prediction of mRNA subcellular localization using deep recurrent neural networks

2019 ◽  
Vol 35 (14) ◽  
pp. i333-i342 ◽  
Author(s):  
Zichao Yan ◽  
Eric Lécuyer ◽  
Mathieu Blanchette
Keyword(s):  
Subcellular Localization ◽  
Messenger Rna ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Regulatory Elements ◽  
Supplementary Information ◽  
Specific Sequence ◽  
Structure Information ◽  
Subcellular Compartments ◽  
Sequence Elements

Abstract Motivation Messenger RNA subcellular localization mechanisms play a crucial role in post-transcriptional gene regulation. This trafficking is mediated by trans-acting RNA-binding proteins interacting with cis-regulatory elements called zipcodes. While new sequencing-based technologies allow the high-throughput identification of RNAs localized to specific subcellular compartments, the precise mechanisms at play, and their dependency on specific sequence elements, remain poorly understood. Results We introduce RNATracker, a novel deep neural network built to predict, from their sequence alone, the distributions of mRNA transcripts over a predefined set of subcellular compartments. RNATracker integrates several state-of-the-art deep learning techniques (e.g. CNN, LSTM and attention layers) and can make use of both sequence and secondary structure information. We report on a variety of evaluations showing RNATracker’s strong predictive power, which is significantly superior to a variety of baseline predictors. Despite its complexity, several aspects of the model can be isolated to yield valuable, testable mechanistic hypotheses, and to locate candidate zipcode sequences within transcripts. Availability and implementation Code and data can be accessed at https://www.github.com/HarveyYan/RNATracker. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals A massively parallel reporter assay reveals focused and broadly encoded RNA localization signals in neurons

2021 ◽  
Author(s):  
Martin Mikl ◽  
Davide Eletto ◽  
Minkyoung Lee ◽  
Atefeh Lafzi ◽  
Farah Mhamedi ◽  
...  
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Neuronal Cell ◽  
Mrna Localization ◽  
Rna Localization ◽  
Massively Parallel ◽  
Reporter Assay ◽  
Massively Parallel Reporter Assay ◽  
Localization Behavior

AbstractAsymmetric subcellular localization of mRNA is a common cellular phenomenon that is thought to contribute to spatial gene regulation. In highly polar neurons, subcellular transcript localization and translation are thought to enhance cellular efficiency and timely responses to external cues. Although mRNA localization has been observed in many tissues and numerous examples of the functional importance of this process exist, we still lack a systematic understanding of how the transcript sorting machinery works in a sequence-specific manner.Here, we addressed these gaps by combining subcellular transcriptomics and rationally designed sequence libraries. We developed a massively parallel reporter assay (MPRA) for mRNA localization and tested ~50,000 sequences for their ability to drive RNA localization to neurites of neuronal cell lines. By scanning the 3’UTR of >300 genes we identified many previously unknown localization regions and mapped the localization potential of endogenous sequences. Our data suggest two ways the localization potential can be encoded in the 3’UTR: focused localization motifs and broadly encoded localization potential based on small contributions.We identified sequence motifs enriched in dendritically localized transcripts and tested the potential of these motifs to affect the localization behavior of an mRNA. This assay revealed sequence elements with the ability to bias localization towards neurite as well as soma. Depletion of RNA binding proteins predicted or experimentally shown to bind these motifs abolished the effect on localization, suggesting that these motifs act by recruiting specific RNA-binding proteins.Based on our dataset we developed machine learning models that accurately predict the localization behavior of novel sequences. Testing this predictor on native mRNA sequencing data showed good agreement between predicted and observed localization potential, suggesting that the rules uncovered by our MPRA also apply to the localization of native transcripts.Applying similar systematic high-throughput approaches to other cell types will open the door for a comparative perspective on RNA localization across tissues and reveal the commonalities and differences of this crucial regulatory mechanism.

scholarly journals RNA m6A modification orchestrates a LINE-1–host interaction that facilitates retrotransposition and contributes to long gene vulnerability

Cell Research ◽  
2021 ◽  
Author(s):  
Feng Xiong ◽  
Ruoyu Wang ◽  
Joo-Hyung Lee ◽  
Shenglan Li ◽  
Shin-Fu Chen ◽  
...  
Keyword(s):  
Matrix Protein ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Regulatory Elements ◽  
Host Interaction ◽  
Damage Repair ◽  
Novel Host ◽  
Cell Type Specific ◽  
Human Fetal Tissues ◽  
Long Genes

AbstractThe molecular basis underlying the interaction between retrotransposable elements (RTEs) and the human genome remains poorly understood. Here, we profiled N6-methyladenosine (m6A) deposition on nascent RNAs in human cells by developing a new method MINT-Seq, which revealed that many classes of RTE RNAs, particularly intronic LINE-1s (L1s), are strongly methylated. These m6A-marked intronic L1s (MILs) are evolutionarily young, sense-oriented to hosting genes, and are bound by a dozen RNA binding proteins (RBPs) that are putative novel readers of m6A-modified RNAs, including a nuclear matrix protein SAFB. Notably, m6A positively controls the expression of both autonomous L1s and co-transcribed L1 relics, promoting L1 retrotransposition. We showed that MILs preferentially reside in long genes with critical roles in DNA damage repair and sometimes in L1 suppression per se, where they act as transcriptional “roadblocks” to impede the hosting gene expression, revealing a novel host-weakening strategy by the L1s. In counteraction, the host uses the SAFB reader complex to bind m6A-L1s to reduce their levels, and to safeguard hosting gene transcription. Remarkably, our analysis identified thousands of MILs in multiple human fetal tissues, enlisting them as a novel category of cell-type-specific regulatory elements that often compromise transcription of long genes and confer their vulnerability in neurodevelopmental disorders. We propose that this m6A-orchestrated L1–host interaction plays widespread roles in gene regulation, genome integrity, human development and diseases.

scholarly journals Targeting Poison Exons to Treat Developmental and Epileptic Encephalopathy

2021 ◽  
pp. 1-6
Author(s):  
Miriam C. Aziz ◽  
Patricia N. Schneider ◽  
Gemma L. Carvill
Keyword(s):  
Alternative Splicing ◽  
Rna Binding ◽  
De Novo ◽  
Rna Binding Proteins ◽  
Autism Spectrum ◽  
Epileptic Encephalopathy ◽  
Nonsense Mediated Decay ◽  
Subsequent Degradation ◽  
Alternative Splicing Events ◽  
Genetic Epilepsies

Developmental and epileptic encephalopathies (DEEs) describe a subset of neurodevelopmental disorders categorized by refractory epilepsy that is often associated with intellectual disability and autism spectrum disorder. The majority of DEEs are now known to have a genetic basis with de novo coding variants accounting for the majority of cases. More recently, a small number of individuals have been identified with intronic <i>SCN1A</i> variants that result in alternative splicing events that lead to ectopic inclusion of poison exons (PEs). PEs are short highly conserved exons that contain a premature truncation codon, and when spliced into the transcript, lead to premature truncation and subsequent degradation by nonsense-mediated decay. The reason for the inclusion/exclusion of these PEs is not entirely clear, but research suggests an autoregulatory role in gene expression and protein abundance. This is seen in proteins such as RNA-binding proteins and serine/arginine-rich proteins. Recent studies have focused on targeting these PEs as a method for therapeutic intervention. Targeting PEs using antisense oligonucleotides (ASOs) has shown to be effective in modulating alternative splicing events by decreasing the amount of transcripts harboring PEs, thus increasing the abundance of full-length transcripts and thereby the amount of protein in haploinsufficient genes implicated in DEE. In the age of personalized medicine, cellular and animal models of the genetic epilepsies have become essential in developing and testing novel precision therapeutics, including PE-targeting ASOs in a subset of DEEs.

scholarly journals De-novo protein function prediction using DNA binding and RNA binding proteins as a test case

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Sapir Peled ◽  
Olga Leiderman ◽  
Rotem Charar ◽  
Gilat Efroni ◽  
Yaron Shav-Tal ◽  
...  
Keyword(s):  
Dna Binding ◽  
Protein Function ◽  
Binding Proteins ◽  
Rna Binding ◽  
De Novo ◽  
Rna Binding Proteins ◽  
Protein Function Prediction ◽  
Function Prediction ◽  
Test Case

scholarly journals De novo design of RNA-binding proteins with a prion-like domain related to ALS/FTD proteinopathies

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Kana Mitsuhashi ◽  
Daisuke Ito ◽  
Kyoko Mashima ◽  
Munenori Oyama ◽  
Shinichi Takahashi ◽  
...  
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
De Novo ◽  
Rna Binding Proteins ◽  
De Novo Design

scholarly journals RNA Is a Double-Edged Sword in ALS Pathogenesis

2021 ◽  
Vol 15 ◽  
Author(s):  
Benjamin L. Zaepfel ◽  
Jeffrey D. Rothstein
Keyword(s):  
Motor Neurons ◽  
Cortical Neurons ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Rna Metabolism ◽  
Small Subset ◽  
Toxic Rna ◽  
Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease that affects upper and lower motor neurons. Familial ALS accounts for a small subset of cases (&lt;10–15%) and is caused by dominant mutations in one of more than 10 known genes. Multiple genes have been causally or pathologically linked to both ALS and frontotemporal dementia (FTD). Many of these genes encode RNA-binding proteins, so the role of dysregulated RNA metabolism in neurodegeneration is being actively investigated. In addition to defects in RNA metabolism, recent studies provide emerging evidence into how RNA itself can contribute to the degeneration of both motor and cortical neurons. In this review, we discuss the roles of altered RNA metabolism and RNA-mediated toxicity in the context of TARDBP, FUS, and C9ORF72 mutations. Specifically, we focus on recent studies that describe toxic RNA as the potential initiator of disease, disease-associated defects in specific RNA metabolism pathways, as well as how RNA-based approaches can be used as potential therapies. Altogether, we highlight the importance of RNA-based investigations into the molecular progression of ALS, as well as the need for RNA-dependent structural studies of disease-linked RNA-binding proteins to identify clear therapeutic targets.

scholarly journals Functional characterization of splicing regulatory elements

2021 ◽  
Author(s):  
Scott I Adamson ◽  
Lijun Zhan ◽  
Brenton R Graveley
Keyword(s):  
High Throughput ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Functional Characterization ◽  
Regulatory Elements ◽  
Small Subset ◽  
General Sequence ◽  
Splicing Regulators ◽  
Splicing Regulatory Elements

Background: RNA binding protein-RNA interactions mediate a variety of processes including pre-mRNA splicing, translation, decay, polyadenylation and many others. Previous high-throughput studies have characterized general sequence features associated with increased and decreased splicing of certain exons, but these studies are limited by not knowing the mechanisms, and in particular, the mediating RNA binding proteins, underlying these associations. Results: Here we utilize ENCODE data from diverse data modalities to identify functional splicing regulatory elements and their associated RNA binding proteins. We identify features which make splicing events more sensitive to depletion of RNA binding proteins, as well as which RNA binding proteins act as splicing regulators sensitive to depletion. To analyze the sequence determinants underlying RBP-RNA interactions impacting splicing, we assay tens of thousands of sequence variants in a high-throughput splicing reporter called Vex-seq and confirm a small subset in their endogenous loci using CRISPR base editors. Finally, we leverage other large transcriptomic datasets to confirm the importance of RNA binding proteins which we designed experiments around and identify additional RBPs which may act as additional splicing regulators of the exons studied. Conclusions: This study identifies sequence and other features underlying splicing regulation mediated specific RNA binding proteins, as well as validates and identifies other potentially important regulators of splicing in other large transcriptomic datasets.

scholarly journals Characterization and Functional Analysis of Polyadenylation Sites in Fast and Slow Muscles

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Lulu Deng ◽  
Long Li ◽  
Cheng Zou ◽  
Chengchi Fang ◽  
Changchun Li
Keyword(s):  
Single Molecule ◽  
Posttranscriptional Regulation ◽  
Muscle Development ◽  
Target Genes ◽  
Rna Binding ◽  
De Novo ◽  
Rna Binding Proteins ◽  
Fast And Slow Muscles ◽  
Molecular Features ◽  
Polyadenylation Sites

Many increasing documents have proved that alternative polyadenylation (APA) events with different polyadenylation sites (PAS) contribute to posttranscriptional regulation. However, little is known about the detailed molecular features of PASs and its role in porcine fast and slow skeletal muscles through microRNAs (miRNAs) and RNA binding proteins (RBPs). In this study, we combined single-molecule real-time sequencing and Illumina RNA-seq datasets to comprehensively analyze polyadenylation in pigs. We identified a total of 10,334 PASs, of which 8734 were characterized by reference genome annotation. 32.86% of PAS-associated genes were determined to have more than one PAS. Further analysis demonstrated that tissue-specific PASs between fast and slow muscles were enriched in skeletal muscle development pathways. In addition, we obtained 1407 target genes regulated by APA events through potential binding 69 miRNAs and 28 RBPs in variable 3′ UTR regions and some are involved in myofiber transformation. Furthermore, the de novo motif search confirmed that the most common usage of canonical motif AAUAAA and three types of PASs may be related to the strength of motifs. In summary, our results provide a useful annotation of PASs for pig transcriptome and suggest that APA may serve as a role in fast and slow muscle development under the regulation of miRNAs and RBPs.

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