RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases

RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases

Profiling of mRNA expression is an important method to identify biomarkers but complicated by limited correlations between mRNA expression and protein abundance. We hypothesised that these correlations could be improved by mathematical models based on measuring splice variants and time delay in prot...

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Bibliographic Details
Main Authors: Rasmus Magnusson, Olof Rundquist, Min Jung Kim, Sandra Hellberg, Chan Hyun Na, Mikael Benson, David Gomez-Cabrero, Ingrid Kockum, Jesper N. Tegnér, Fredrik Piehl, Maja Jagodic, Johan Mellergård, Claudio Altafini, Jan Ernerudh, Maria C. Jenmalm, Colm E. Nestor, Min-Sik Kim, Mika Gustafsson
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Molecular Biosciences
Subjects:
proteomics
RNA-seq
T-cell differentiation
biomarkers
multiple sclerosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.916128/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2022.916128/full

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