Transcriptomics

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Lactate regulation of activation in CD8+ T cells


ABSTRACT: CD8+ T cells infiltrate virtually every tissue to find and destroy infected or mutated cells. They often traverse varying oxygen levels and nutrient-deprived microenvironments. High glycolytic activity in tissues can result in extended exposure of cytotoxic T cells to the metabolite lactate. Lactate can be immunosuppressive, at least in part due to its association with tissue acidosis. We show here that the lactate anion is well tolerated by CD8+ T cells in pH neutral conditions. We describe how lactate is taken up by activated CD8+ T cells and is capable of displacing glucose as a carbon source. Activation in the presence of a pH neutral form of lactate significantly alters the CD8+ T cell transcriptome, including the expression of key effector differentiation markers such as granzyme B and interferon-gamma. Our studies reveal the novel metabolic features of lactate utilization by activated CD8+ T cells, and highlight the importance of lactate in shaping the differentiation and activity of cytotoxic T cells. Method: CD8+ T cells were purified from mouse splenocytes and activated for 72h with anti-CD3/CD28 dynabeads (Thermo Fisher, 11456D) and 10 U/ml recombinant human IL-2, in either plain media (RPMI 1640 supplemented with 10% Fetal Bovine Serum, 50 µM 2-mercaptoethanol, and 100 U/ml penicillin-streptomycin), or in the presence of 40 mM sodium lactate. After activation, cells were washed twice with PBS and cell pellets were snap-frozen in RLT Plus lysis buffer (Qiagen, #1053393). Total RNA was extracted with the Qiagen’s RNeasy kit according to the manufacturer's instructions. All samples were quality checked with Agilent Tapestation RNA screen tape. To construct libraries suitable for Illumina sequencing, the Illumina TruSeq Stranded mRNA Sample preparation protocol which includes cDNA synthesis, ligation of adapters, and amplification of indexed libraries was used. The yield and quality of the amplified libraries were analysed using Qubit by Thermo Fisher and the Agilent Tapestation. The indexed cDNA libraries were normalised and combined, and the pools were sequenced on the Nextseq 550 for a 50-cycle v2.5 sequencing run, generating 71 bp single-end reads (and 2*10 bp index reads). Fastq files were generated by demultiplexing with bcl2fastq (v2.20.0.422). STAR 2.7.5b was used to map the fastq files to the mouse reference genome (mm10/GRCm38) and to remove PCR duplicates. Uniquely mapped reads were counted in annotated exons using featureCounts v1.5.1. The gene annotations (Mus_musculus.GRCm38.99.gtf) and reference genome were obtained from Ensembl. The count table from featureCounts was imported into R/Bioconductor and differential gene expression was performed using the EdgeR package and its general linear models pipeline.

ORGANISM(S): Mus musculus

PROVIDER: GSE190808 | GEO | 2021/12/15

REPOSITORIES: GEO

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