Evidence map›Paper›PMID 39367445›Full record

ArticleBMC medical genomics2024

CLN3 transcript complexity revealed by long-read RNA sequencing analysis.

Hao-Yu Zhang, Christopher Minnis, Emil Gustavsson, Mina Ryten, Sara E Mole

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Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hao-Yu ZhangGreat Ormond Street Institute of Child Health, University College London, London, WC1E 1EH, UK.
Christopher MinnisGreat Ormond Street Institute of Child Health, University College London, London, WC1E 1EH, UK.
Emil GustavssonGreat Ormond Street Institute of Child Health, University College London, London, WC1E 1EH, UK.
Mina RytenGreat Ormond Street Institute of Child Health, University College London, London, WC1E 1EH, UK.
Sara E MoleGreat Ormond Street Institute of Child Health, University College London, London, WC1E 1EH, UK. s.mole@ucl.ac.uk.

Funding

UK Medical Research Council
6 · The paper itself

Abstract

backgroundBatten disease is a group of rare inherited neurodegenerative diseases. Juvenile CLN3 disease is the most prevalent type, and the most common pathogenic variant shared by most patients is the "1-kb" deletion which removes two internal coding exons (7 and 8) in CLN3. Previously, we identified two transcripts in patient fibroblasts homozygous for the 1-kb deletion: the 'major' and 'minor' transcripts. To understand the full variety of disease transcripts and their role in disease pathogenesis, it is necessary to first investigate CLN3 transcription in "healthy" samples without juvenile CLN3 disease.

methodsWe leveraged PacBio long-read RNA sequencing datasets from ENCODE to investigate the full range of CLN3 transcripts across various tissues and cell types in human control samples. Then we sought to validate their existence using data from different sources.

resultsWe found that a readthrough gene affects the quantification and annotation of CLN3. After taking this into account, we detected over 100 novel CLN3 transcripts, with no dominantly expressed CLN3 transcript. The most abundant transcript has median usage of 42.9%. Surprisingly, the known disease-associated 'major' transcripts are detected. Together, they have median usage of 1.5% across 22 samples. Furthermore, we identified 48 CLN3 ORFs, of which 26 are novel. The predominant ORF that encodes the canonical CLN3 protein isoform has median usage of 66.7%, meaning around one-third of CLN3 transcripts encode protein isoforms with different stretches of amino acids. The same ORFs could be found with alternative UTRs. Moreover, we were able to validate the translational potential of certain transcripts using public mass spectrometry data.

conclusionOverall, these findings provide valuable insights into the complexity of CLN3 transcription, highlighting the importance of studying both canonical and non-canonical CLN3 protein isoforms as well as the regulatory role of UTRs to fully comprehend the regulation and function(s) of CLN3. This knowledge is essential for investigating the impact of the 1-kb deletion and rare pathogenic variants on CLN3 transcription and disease pathogenesis.

Indexed as

Membrane GlycoproteinsMolecular ChaperonesNeuronal Ceroid-LipofuscinosesHumansRNA, MessengerSequence Analysis, RNACLN3 protein, humanMembrane GlycoproteinsMolecular ChaperonesRNA, MessengerAlternative splicingBatten diseaseCLN3Juvenile CLN3 diseaseLong-read RNA sequencingNeuronal ceroid lipofuscinosesReadthrough geneTranscription

Identifiers

PMID39367445
PMCPMC11451007

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.