Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 May 4;12:641692. doi: 10.3389/fimmu.2021.641692

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2021 Ouk, Roland, Gachard, Poulain, Oblet, Rizzo, Saintamand, Lemasson, Carrion, Thomas, Balabanian, Espéli, Parrens, Soubeyran, Boulin, Faumont, Feuillard and Vincent-Fabert

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.

PMC Copyright notice

Whole transcriptome analysis of Cd19^Cre and Myd88^L252P mice: total mRNA was extracted from whole spleen tissues. Gene expression profiles were obtained using the MoGene-2_1-st-v1 Affymetrix chip. mRNA transcripts (3236) were selected to be differentially expressed using the Limma R package. Expressed genes that were too heterogeneous were eliminated, resulting in a final selection of 1515 genes. These genes were segregated into 40 Kmean clusters. The closest Kmean clusters were merged 2 by 2 according to their proximity by principal component analysis of the mean vectors. This was repeated until maximization of the absolute value of Chi2 (29). This resulted in 14 aggregated clusters. Functional annotation of the aggregated Kmean clusters was performed using the Ingenuity Pathway Analysis (IPA) Software. Annotated heatmap of the 1515 genes are segregated into the 14 aggregated clusters. Left: the aggregated Kmean clusters with the corresponding number of genes; middle: main pathways and or function identified with the IPA software; right: some relevant genes.