Epitranscriptome analysis of NAD-capped RNA by spike-in-based normalization and prediction of chronological age

© 2023 The Authors..

Nicotinamide adenine dinucleotide (NAD) can be used as an initiating nucleotide in RNA transcription to produce NAD-capped RNA (NAD-RNA). RNA modification by NAD that links metabolite with expressed transcript is a poorly studied epitranscriptomic modification. Current NAD-RNA profiling methods involve multi-steps of chemo-enzymatic labeling and affinity-based enrichment, thus presenting a critical analytical challenge to remove unwanted variations, particularly batch effects. Here, we propose a computational framework, enONE, to remove unwanted variations. We demonstrate that designed spike-in RNA, together with modular normalization procedures and evaluation metrics, can mitigate technical noise, empowering quantitative and comparative assessment of NAD-RNA across different datasets. Using enONE and a human aging cohort, we reveal age-associated features of NAD-capping and further develop an accurate RNA-based aging clock that combines signatures from both transcriptome and NAD-modified epitranscriptome. enONE facilitates the discovery of NAD-RNA responsive to physiological changes, laying an important foundation for functional investigations into this modification.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

iScience - 26(2023), 12 vom: 15. Dez., Seite 108558

Sprache:

Englisch

Beteiligte Personen:

Li, Dean [VerfasserIn]
Ge, Shuwen [VerfasserIn]
Liu, Yandong [VerfasserIn]
Pan, Miaomiao [VerfasserIn]
Wang, Xueting [VerfasserIn]
Han, Guojing [VerfasserIn]
Zou, Sili [VerfasserIn]
Liu, Rui [VerfasserIn]
Niu, Kongyan [VerfasserIn]
Zhao, Chao [VerfasserIn]
Liu, Nan [VerfasserIn]
Qu, Lefeng [VerfasserIn]

Links:

Volltext

Themen:

Computational bioinformatics
Journal Article
Methodology in biological sciences
Sequence analysis
Transcriptomics

Anmerkungen:

Date Revised 14.12.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.isci.2023.108558

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365849464