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. 2022 Aug 29;9:916128. doi: 10.3389/fmolb.2022.916128

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Copyright © 2022 Magnusson, Rundquist, Kim, Hellberg, Na, Benson, Gomez-Cabrero, Kockum, Tegnér, Piehl, Jagodic, Mellergård, Altafini, Ernerudh, Jenmalm, Nestor, Kim and Gustafsson.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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RNA-seq and mass-spectrometry analysis of T_H1 differentiation revealed highly variable correlations. (A) Experimental design. (B) Heat map of transcript and protein abundance dynamics in genes that show significant negative (left) and positive (right) correlations. Genes of particular relevance for T cells and T cell differentiation are highlighted in the figure. (C) Examples of transcript splice variants showing that both STX12 (left) and IL7R (right) were significantly negatively and positively correlated with protein levels. (D) Illustration of the modelling procedure for resolving the poor correlation, using STX12 as an example.