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Transcriptome analysis of IFNγ producing and non-producing CD4 T cells during chronic intestinal inflammation.

ABSTRACT: Purpose: The goal of this study is to compare transcriptome profiles of IFNγ producing (Thy1.1+) and IFNγ non-producing (Thy1.1-) CD4 T cells during chronic intestinal inflammation using RNA sequencing. Methods: Total mRNA was isolated from FACS sorted CD44+Thy1.1+ and CD44+Thy1.1-CD4 T cells and sequenced in duplicate using Illumina HiSeq 2500 (2x100 base pair, paired-end reads). The sequence reads were aligned using mouse GRCm38.75 reference genome. DESeq2 software was used for differential expression analysis. Results: Differential expression analysis with DESeq2 algorithm revealed that a total of 942 and 1091 genes were significantly increased in the IFNγ+ and IFNγ- effector CD4 T cells, respectively (adjusted p value <0.05). We also performed gene set enrichment analysis (GSEA) by pre-ranking RNA sequencing data according to an adjusted p-value and the sign of differential expression. GSEA regults suggested that IFNγ+ CD4 T cells had terminally differentiated phenotype, while IFNγ- CD4 T cells had transcriptional profile associated with self-renewal and stemness. Conclusions: Our study suggests that effector CD4 T cells exist in a spectrum of differentiation status during chronic intestinal inflammation, which impacts pathogenicity of CD4 T cells.

ORGANISM(S): Mus musculus

PROVIDER: GSE114346 | GEO | 2018/05/12

REPOSITORIES: GEO

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Project description:Recurrent or metastatic head and neck squamous cell carcinoma (HNSCC) has a poor prognosis with less than 1-year median survival. Platinum-based chemotherapy (cisplatin or carboplatin) remains the first-line treatment for HNSCC. The cancer stem cell (CSC) hypothesis postulates that tumors are maintained by a self-renewing CSC population that is also capable of differentiating into non-self renewing cell populations that constitute the bulk of the tumor. A small population of CSCs exists within HNSCC that are relatively resistant to chemotherapy and clinically predicted to mediate tumor recurrence. These CSCs are identified by high cell-surface expression of CD44 and high intracellular activity of aldehyde dehydrogenase (ALDH) and termed ALDHhighCD44high. We investigated the molecular pathways active in ALDHhighCD44high cells, which remain poorly studied. Additionally, we performed a molecular examination of cisplatin-resistant ALDHhighCD44high cells, which has not been reported. Two HNSCC cell lines, UM-SCC-1 and UM-SCC-22b, were utilized in this study. For microarray analysis, UM-SCC-22b cells were treated for 5 days in vitro with 2uM cisplatin and analyzed by flow cytometry, sorted and submitted for microarray analysis of ALDHhighCD44high and ALDHlowCD44low cells from untreated and cisplatin treated cells. Four separate flow cytometry experiments were performed using Affymetrix Human Gene ST 2.1 microarrays. Microarray data was analyzed using R/Bioconductor. Files were preprocessed by Robust Multiarray Average (RMA) with background substraction, quantile normalization, and median polish (oligo package). Data was fitted with robust probe level linear models to all the probesets (oligo package). Experiment and processing batch differences were accounted for using 'ComBat' within the SVA package. Differentially expressed genes were identified using univariate comparisons after fitting data to a linear model (limma package). Initial statistics were determined using an empirical Bayesian model. Multiple testing comparisons were adjusted using Benjamini and Hochberg (aka FDR). Probes with an adjusted p-value <0.05 were considered statistically significant. Unsupervised hierarchical clustering with complete linkage and Euclidean distance was performed on only statistically significant probes. In four separate experiments, the head and neck squamous cell carcinoma cell line UM-SCC-22b were cultured for 5 days with or without 2uM (micromolar) cisplatin in 6-well plates. Media was replaced every other day. Control and cisplatin treated cells were trypsinized, procesed, and stained for CD44 cell-surface expression and intracellular aldehyde dehydrogenase (ALDH) activity to identify cancer stem cells (ALDH+CD44+). CSCs and non-CSCs (ALDH-CD44-) were collected by flow cytometry from both groups. Total RNA was collected from each fraction (ALDH+CD44+, ALDH-CD44-), treatment (control, cisplatin), and experiment (#1-4). A total of 16 samples were analyzed. One set of 4 (experiment #4) were analyzed on a Human Gene ST 2.1 strip and the rest on a Human Gene ST 2.1 plate. Differential gene expression was determined with R/Bioconductor with Robust Multiarray Average (RMA) and fitting the data to linear models (limma). Experimental and processing batch effects were accounted for using ComBat. Four sets of univariate comparisons were made: 1) Cisplatin ALDH+CD44+ vs Control ALDH+CD44+; 2) Control ALDH+CD44+ vs Control ALDH-CD44-; 3) Cisplatin ALDH+CD44+ vs Cisplatin ALDH-CD44-; 4) Cisplatin ALDH-CD44- vs Control ALDH-CD44-. Multiple testing comparisons were adjusted using Benjamini and Hochberg (aka FDR). Probes with an adjusted p-value <0.05 were considered statistically significant.

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Transcriptome analysis of IFNγ producing and non-producing CD4 T cells during chronic intestinal inflammation.

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