Dataset Information

Transcript dynamics of proinflammatory genes revealed by sequence analysis of subcellular RNA fractions.

ABSTRACT: Macrophages respond to inflammatory stimuli by modulating the expression of hundreds of genes in a defined temporal cascade, with diverse transcriptional and posttranscriptional mechanisms contributing to the regulatory network. We examined proinflammatory gene regulation in activated macrophages by performing RNA-seq with fractionated chromatin-associated, nucleoplasmic, and cytoplasmic transcripts. This methodological approach allowed us to separate the synthesis of nascent transcripts from transcript processing and the accumulation of mature mRNAs. In addition to documenting the subcellular locations of coding and noncoding transcripts, the results provide a high-resolution view of the relationship between defined promoter and chromatin properties and the temporal regulation of diverse classes of coexpressed genes. The data also reveal a striking accumulation of full-length yet incompletely spliced transcripts in the chromatin fraction, suggesting that splicing often occurs after transcription has been completed, with transcripts retained on the chromatin until fully spliced.

SUBMITTER: Bhatt DM

PROVIDER: S-EPMC3405548 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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Transcript dynamics of proinflammatory genes revealed by sequence analysis of subcellular RNA fractions.

Bhatt Dev M DM Pandya-Jones Amy A Tong Ann-Jay AJ Barozzi Iros I Lissner Michelle M MM Natoli Gioacchino G Black Douglas L DL Smale Stephen T ST

Cell 20120701 2

Macrophages respond to inflammatory stimuli by modulating the expression of hundreds of genes in a defined temporal cascade, with diverse transcriptional and posttranscriptional mechanisms contributing to the regulatory network. We examined proinflammatory gene regulation in activated macrophages by performing RNA-seq with fractionated chromatin-associated, nucleoplasmic, and cytoplasmic transcripts. This methodological approach allowed us to separate the synthesis of nascent transcripts from tr ...[more]

PMID: 22817891

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Project description: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.

Dataset Information

Transcript dynamics of proinflammatory genes revealed by sequence analysis of subcellular RNA fractions.

Publications

Transcript dynamics of proinflammatory genes revealed by sequence analysis of subcellular RNA fractions.

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