T helper cells exhibit a dynamic and reversible 3'UTR landscape.
Denis SeyresOliver GorkaRalf SchmidtRomina MaroneMihaela ZavolanLukas T JekerPublished in: RNA (New York, N.Y.) (2024)
3' untranslated regions (3'UTRs) are critical elements of messenger RNAs, as they contain binding sites for RNA-binding proteins (RBP) and microRNAs that affect various aspects of the RNA life cycle including transcript stability and cellular localisation. In response to T cell receptor activation, T cells undergo massive expansion during the effector phase of the immune response and dynamically modify their 3'UTRs. Whether this serves to directly regulate the abundance of specific mRNAs or is a secondary effect of proliferation remains unclear. To study 3'UTR dynamics in T helper cells we investigated division-dependent alternative polyadenylation (APA). In addition, we generated 3' end UTR sequencing data from naïve, activated, memory and regulatory CD4+ T cells. 3'UTR length changes were estimated using a non-negative matrix factorization approach and were compared with those inferred from long-read PacBio sequencing. We found that APA events were transient and reverted after effector phase expansion. Using an orthogonal bulk RNAseq dataset, we did not find evidence of APA association with differential gene expression or transcript usage, indicating that APA has only a marginal effect on transcript abundance. 3'UTR sequence analysis revealed conserved binding sites for T cell-relevant microRNAs and RBPs in the alternative 3'UTRs. These results indicate that polyA site usage could play an important role in the control of cell fate decisions and homeostasis.
Keyphrases
- single cell
- dendritic cells
- regulatory t cells
- induced apoptosis
- gene expression
- rna seq
- immune response
- cell cycle arrest
- cell fate
- life cycle
- signaling pathway
- transcription factor
- endoplasmic reticulum stress
- dna methylation
- mass spectrometry
- oxidative stress
- toll like receptor
- machine learning
- big data
- brain injury
- microbial community
- pi k akt
- data analysis
- binding protein
- cell proliferation
- high speed
- atomic force microscopy