A single-cell genomic strategy for alternative transcript start sites identification.
Yanling PengQitong HuangDanli LiuSiyuan KongRui KamadaKeiko OzatoYubo ZhangJun ZhuPublished in: Biotechnology journal (2024)
Alternative transcription start sites (TSSs) usage plays a critical role in gene transcription regulation in mammals. However, precisely identifying alternative TSSs remains challenging at the genome-wide level. We report a single-cell genomic technology for alternative TSSs annotation and cell heterogeneity detection. In the method, we utilize Fluidigm C1 system to capture individual cells of interest, SMARTer cDNA synthesis kit to recover full-length cDNAs, then dual priming oligonucleotide system to specifically enrich TSSs for genomic analysis. We apply this method to a genome-wide study of alternative TSSs identification in two different IFN-β stimulated mouse embryonic fibroblasts (MEFs). The data clearly discriminate two IFN-β stimulated MEFs. Moreover, our results indicate 81% expressed genes in these two cell types containing multiple TSSs, which is much higher than previous predictions based on Cap-Analysis Gene Expression (CAGE) (58%) or empirical determination (54%) in various cell types. This indicates that alternative TSSs are more pervasive than expected and implies our strategy could position them at an unprecedented sensitivity. It would be helpful for elucidating their biological insights in future.
Keyphrases
- single cell
- rna seq
- genome wide
- dna methylation
- gene expression
- copy number
- high throughput
- immune response
- cell therapy
- transcription factor
- induced apoptosis
- bioinformatics analysis
- big data
- cell proliferation
- cell death
- mass spectrometry
- deep learning
- current status
- endoplasmic reticulum stress
- cell cycle arrest
- artificial intelligence