scholarly journals Identification and Validation of the Signatures of Infiltrating Immune Cells in the Eutopic Endometrium Endometria of Women With Endometriosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiang-Guang Wu ◽  
Jin-Jiao Chen ◽  
Hui-Ling Zhou ◽  
Yu Wu ◽  
Fei Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Nk Cells ◽  
Immune Cells ◽  
Expression Profiles ◽  
Embryo Implantation ◽  
Gene Expression Profiles ◽  
Signalling Pathway ◽  
Clinical Samples ◽  
Normal Controls

Endometriosis is an oestrogen-dependent chronic inflammatory process with primary symptoms including dysmenorrhea, chronic pelvic pain, and infertility. The immune environment of the endometrium is essential for successful embryo implantation and ongoing pregnancy. In this study, we assessed the composition, density, and distribution of infiltrating immune cells in the endometria of women with endometriosis. Gene expression profiles of endometrial samples were downloaded from the Gene Expression Omnibus (GEO) database. We found that the TNF signalling pathway, the IL-17 signalling pathway, and the MAPK signalling pathway were significantly enriched in the eutopic endometria of women with endometriosis. The fractions and proportion of infiltrating immune cells were estimated by the CIBERSORT, MCP-counter, and ImmuCellAI methods. We found that the proportions of CD8+ T cells, activated NK cells, and follicular helper T cells were significantly higher in the endometria of women with endometriosis than in the endometria of normal controls, while the proportions of M2 macrophages and resting mast cells were significantly lower in the eutopic endometria. In GSE120103 (n = 36), we found that elevated CD8+ T cells in endometriosis increased the risk of infertility (P = 0.0019). The area under the receiver operating characteristic (ROC) curve (AUC) of CD8+ T cells to distinguish fertile and infertile endometriosis was 0.914. In clinical samples (n = 40), we found that the proportions of CD8+ T cells and CD56+ NK cells were significantly higher in the eutopic endometria of women with endometriosis than in the endometria of normal controls, while the proportion of CD163+ macrophages were lower in the eutopic endometria. The AUCs of CD8+ T cells and CD163+ macrophages were 0.727 and 0.833, respectively, which indicated that CD8 and CD163 were potential diagnostic markers for endometriosis. In conclusion, our results demonstrated that increased CD8+ T cells and CD56+ NK cells and decreased CD163+ macrophages within the eutopic endometria of women with endometriosis reveal a proinflammatory feature in the endometrial immune environment and that elevated CD8+ T cells increase the risk of infertility in women with the disease.

NK Cells From CLL Patients Exhibit Down-Regulation Of Interferon Response Genes That Can Be Reversed With Lenalidomide

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 4131-4131
Author(s):  
John C. Riches ◽  
Ajanthah Sangaralingam ◽  
Tracy Chaplin ◽  
Fabienne McClanahan ◽  
Sameena Iqbal ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Nk Cells ◽  
Nk Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Interferon Response ◽  
Down Regulation ◽  
Inducible Genes ◽  
Increased Susceptibility

Abstract Chronic lymphocytic leukemia (CLL) is associated with profound defects in immune function, resulting in failure of anti-tumor immunity and increased susceptibility to infection. We have previously demonstrated alterations in gene expression profiles of T cells from CLL patients, which translate into functional defects in T-cell immune synapse formation, motility and cytotoxicity (Gorgun et al. JCI 2005; Ramsay et al. JCI 2008, Blood 2013). However a comparison of the transcriptome of natural killer (NK) cells from CLL patients and controls has not been investigated. NK cells were isolated from the peripheral blood of patients with CLL and healthy donors, followed by gene expression profiling using the Affymetrix U133Plus2.0 platform. 117 probes showed a >2-fold decrease in expression while only 18 probes showed a >2-fold increase in expression (adjusted p-value < 0.05) in CLL NK cells compared to healthy donor NK cells. Strikingly, 52 out of the 117 significantly down-regulated probes (44.4%) were for interferon-inducible genes including STAT1 (Signal Transducers and Activator 1), SOCS1 (Suppressor of cytokine signaling 1), interferon regulatory factor genes IRF7 and IRF9, and oligoadenylate synthetase genes OAS1, OAS2, and OAS3. The majority of these genes were inducible by both type 1 and type 2 interferons. Many of these genes have been implicated in host immunity to viral infections, and so it is possible that decreased NK-cell responsiveness to interferon contributes to the increased susceptibility of CLL patients to viruses. Notably, there was also altered expression of signaling pathways in common with T cells from CLL patients, with dysregulation of the cytoskeleton genes RAB3GAP1, RAB38, and EPHA1 and down-regulation of JUN mirroring the dysregulated JNK-signaling and the altered actin cytoskeleton pathways we have found in T cells from CLL patients. These changes were not due to differences in the relative frequencies of CD56DIM and CD56BRIGHTNK cells. Lenalidomide has significant clinical activity in CLL. It is not directly toxic to tumor cells in vitro, but instead is thought to activate anti-tumor immunity and block pro-tumor micro-environmental factors. NK-cell proliferation has been shown to correlate with clinical response to lenalidomide in CLL (Chanan Khan et al. BJ Haem 2011). Therefore, we investigated the effect of lenalidomide treatment on the gene expression profiles of NK cells from CLL patients in comparison to healthy controls. PBMCs from CLL patients or healthy controls were cultured in the presence of 1μM lenalidomide or vehicle control for 48 hours, followed by NK-cell isolation, RNA extraction and gene expression profiling. There were striking differences in the effect of lenalidomide on NK cells from CLL patients compared with healthy NK cells. In CLL NK cells, lenalidomide repaired the down-regulation of interferon-inducible genes, by increasing the expression of genes such as OAS3, IFIT1, IFI44L, IFIT3, OAS1, PDK4, and ACTN1. Pathway analysis highlighted the effect of lenalidomide on inducing interferon signaling, showing significant activation of interferon α, γ, and λ as upstream regulators. While many of the interferon-inducible genes were up-regulated >3-fold in CLL NK cells, only OAS3 was significantly up-regulated in healthy NK cells with lenalidomide. Furthermore, the gene for IFNγ, IFNG, was actually significantly down-regulated in healthy NK cells by this agent. Lenalidomide also significantly down-regulated the expression of 5 genes encoding killer-cell immunoglobulin-like receptors (KIRs): KIR2DL1, KIR2DL2, KIR2DS3, KIR2DS4, and KIR3DL2, in healthy NK cells, but did not significantly down-regulate KIR genes in the CLL NK-cell dataset. Lenalidomide treatment did have some overlapping effects on CLL and healthy NK cells, including up-regulation of genes ARL11, CYFIP, and CORO1B that regulate the actin cytoskeleton pathway. In conclusion, NK cells from CLL patients have down-regulation of interferon response genes and pathways known to regulate normal immune function in response to bacteria and viruses. Lenalidomide has a differential effect on CLL and healthy NK cells: in CLL NK cells it repairs defective interferon responses, whereas in healthy NK cells it down-regulates inhibitory pathways. Disclosures: Riches: Celgene: Research Funding. Gribben:Celgene: Research Funding; Pharmacyclics: Honoraria; Roche: Honoraria.

scholarly journals LncGSEA: a versatile tool to infer lncRNA associated pathways from large-scale cancer transcriptome sequencing data

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yanan Ren ◽  
Ting-You Wang ◽  
Leah C. Anderton ◽  
Qi Cao ◽  
Rendong Yang
Keyword(s):  
Gene Expression ◽  
Large Scale ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Clinical Samples ◽  
Sequencing Data ◽  
Multiple Cancer ◽  
Regulatory Pathways ◽  
Cancer Transcriptome ◽  
Versatile Tool

Abstract Background Long non-coding RNAs (lncRNAs) are a growing focus in cancer research. Deciphering pathways influenced by lncRNAs is important to understand their role in cancer. Although knock-down or overexpression of lncRNAs followed by gene expression profiling in cancer cell lines are established approaches to address this problem, these experimental data are not available for a majority of the annotated lncRNAs. Results As a surrogate, we present lncGSEA, a convenient tool to predict the lncRNA associated pathways through Gene Set Enrichment Analysis of gene expression profiles from large-scale cancer patient samples. We demonstrate that lncGSEA is able to recapitulate lncRNA associated pathways supported by literature and experimental validations in multiple cancer types. Conclusions LncGSEA allows researchers to infer lncRNA regulatory pathways directly from clinical samples in oncology. LncGSEA is written in R, and is freely accessible at https://github.com/ylab-hi/lncGSEA.

scholarly journals P02.10 FocuSCOPE: a single cell, multi-omics solution to simultaneously analyze tumor variants and microenvironment

2021 ◽  
Vol 9 (Suppl 1) ◽  
pp. A12.1-A12
Author(s):  
Y Arjmand Abbassi ◽  
N Fang ◽  
W Zhu ◽  
Y Zhou ◽  
Y Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Tumor Microenvironment ◽  
Single Cell ◽  
High Throughput ◽  
Immune Cells ◽  
Genetic Variants ◽  
Expression Profiles ◽  
Single Cells ◽  
Gene Expression Profiles ◽  
Single Cell Sequencing

Recent advances of high-throughput single cell sequencing technologies have greatly improved our understanding of the complex biological systems. Heterogeneous samples such as tumor tissues commonly harbor cancer cell-specific genetic variants and gene expression profiles, both of which have been shown to be related to the mechanisms of disease development, progression, and responses to treatment. Furthermore, stromal and immune cells within tumor microenvironment interact with cancer cells to play important roles in tumor responses to systematic therapy such as immunotherapy or cell therapy. However, most current high-throughput single cell sequencing methods detect only gene expression levels or epigenetics events such as chromatin conformation. The information on important genetic variants including mutation or fusion is not captured. To better understand the mechanisms of tumor responses to systematic therapy, it is essential to decipher the connection between genotype and gene expression patterns of both tumor cells and cells in the tumor microenvironment. We developed FocuSCOPE, a high-throughput multi-omics sequencing solution that can detect both genetic variants and transcriptome from same single cells. FocuSCOPE has been used to successfully perform single cell analysis of both gene expression profiles and point mutations, fusion genes, or intracellular viral sequences from thousands of cells simultaneously, delivering comprehensive insights of tumor and immune cells in tumor microenvironment at single cell resolution.Disclosure InformationY. Arjmand Abbassi: None. N. Fang: None. W. Zhu: None. Y. Zhou: None. Y. Chen: None. U. Deutsch: None.

scholarly journals Phenotypic and clonal stability of antigen-inexperienced memory-like T cells across the genetic background, hygienic status, and aging

2020 ◽  
Author(s):  
Alena Moudra ◽  
Veronika Niederlova ◽  
Jiri Novotny ◽  
Lucie Schmiedova ◽  
Jan Kubovciak ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Genetic Background ◽  
Expression Profiles ◽  
Bacterial Colonization ◽  
Gene Expression Profiles ◽  
Inbred Strains ◽  
Microbial Colonization ◽  
Independent Manner ◽  
Different Genetic Background

AbstractAntigen-inexperienced memory-like T (AIMT) cells are functionally unique T cells representing one of the two largest subsets of murine CD8+ T cells. However, differences between laboratory inbred strains, insufficient data from germ-free mice, a complete lack of data from feral mice, and unclear relationship between AIMT cells formation during aging represent major barriers for better understanding of their biology. We performed a thorough characterization of AIMT cells from mice of different genetic background, age, and hygienic status by flow cytometry and multi-omics approaches including analyses of gene expression, TCR repertoire, and microbial colonization. Our data showed that AIMT cells are steadily present in mice independently of their genetic background and hygienic status. Despite differences in their gene expression profiles, young and aged AIMT cells originate from identical clones. We identified that CD122 discriminates two major subsets of AIMT cells in a strain-independent manner. Whereas thymic CD122LOW AIMT cells (innate memory) prevail only in young animals with high thymic IL-4 production, peripheral CD122HIGH AIMT cells (virtual memory) dominate in aged mice. Co-housing with feral mice changed the bacterial colonization of laboratory strains, but had only minimal effects on the CD8+ T-cell compartment including AIMT cells.

scholarly journals Identification and Validation of a Predictive Immune-related Genes Signature for the Prognosis of Cholangiocarcinoma

2020 ◽  
Author(s):  
Rui Zhang ◽  
Chen Chen ◽  
Qi Li ◽  
Jialu Fu ◽  
Dong Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
High Risk ◽  
Risk Score ◽  
Risk Model ◽  
Predictive Accuracy ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Immune Related Genes

Abstract Background: Immune-related genes (IRGs) play a crucial role in the initiation and progression of cholangiocarcinoma (CCA). However, immune signatures have rarely been used to predict prognosis of CCA. The aim of this study was to construct a novel model for CCA to predict survival based on IRGs expression data.Methods: The gene expression profiles and clinical data of CCA patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database were integrated to establish and validate prognostic IRG signatures. Differentially expressed immune-related genes were screened. Univariate and multivariate Cox analysis were performed to identify prognostic IRGs, and the risk model that predicts outcomes was constructed. Furthermore, receiver operating characteristic (ROC) and Kaplan-Meier curve were plotted to examine predictive accuracy of the model, and a nomogram was constructed based on IRGs signature, combining with other clinical characteristics. Finally, CIBERSORT was used to analyze the association of immune cells infiltration with risk score.Results: We identified that 223 IRGs were significantly dysregulated in patients with CCA, among which five IRGs (AVPR1B, CST4, TDGF1, RAET1E and IL9R) were identified as robust indicators for overall survival (OS), and a prognostic model was built based on the IRGs signature. Meanwhile, patients with high risk had worse OS in training and validation cohort, and the area under the ROC was 0.898 and 0.846, respectively. Nomogram demonstrated that immune risk score contributed much more points than other clinicopathological variables, with a C-index of 0.819 (95% CI, 0.727-0.911). Finally, we found that IRGs signature was positively correlated with the proportion of CD8+ T cells, neurophils and T gamma delta, while negatively with that of CD4+ memory resting T cells.Conclusions: We established and validated an effective five IRGs-based prediction model for CCA, which could accurately classify patients into groups with low and high risk of poor prognosis.

scholarly journals Age and Vitamin E-Induced Changes in Gene Expression Profiles of T Cells

2006 ◽  
Vol 177 (9) ◽  
pp. 6052-6061 ◽  
Author(s):  
Sung Nim Han ◽  
Oskar Adolfsson ◽  
Cheol-Koo Lee ◽  
Tomas A. Prolla ◽  
Jose Ordovas ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Vitamin E ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Induced Changes

Comparison of gene expression profiles of T cells in porcine colostrum and peripheral blood

2016 ◽  
Vol 77 (9) ◽  
pp. 961-968 ◽  
Author(s):  
Shohei Ogawa ◽  
Mie Okutani ◽  
Takamitsu Tsukahara ◽  
Nobuo Nakanishi ◽  
Yoshihiro Kato ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Peripheral Blood ◽  
Expression Profiles ◽  
Gene Expression Profiles

Impact of Lenalidomide on Gene Expression Profiles of Malignant and Immune Cells in Patients with Chronic Lymphocytic Leukemia

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 976-976 ◽  
Author(s):  
John C. Riches ◽  
Ajanthah Sangaralingam ◽  
Shahryar Kiaii ◽  
Tracy Chaplin ◽  
Demet Cekdemir ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
T Cell ◽  
B Cells ◽  
Family Member ◽  
Cell Function ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Lymphocytic Leukemia ◽  
Healthy Donors

Abstract Abstract 976 Lenalidomide has recently been demonstrated to have significant activity in chronic lymphocytic leukemia (CLL). Its mechanism of action in this disease is not well understood, but it is thought to act primarily by enhancing anti-tumor immunity and reducing production of pro-tumoral factors in the CLL microenvironment. We have previously demonstrated alterations in the expression of cytoskeletal genes in T-cells from patients with CLL and have subsequently shown that these changes translate into a deficit in T-cell function, due to impaired actin polymerization resulting in defective immunological synapse formation. Treatment of both autologous T-cells and CLL cells with lenalidomide was necessary to repair this defect, suggesting that this may be a key component of this agent's activity in CLL. Therefore we examined the effect of lenalidomide on the global gene expression profiles of isolated B-cells and T-cell subsets from CLL patients and healthy donors. Peripheral blood mononuclear cells from patients with untreated CLL or healthy donors were cultured in the presence of 1 μM lenalidomide or vehicle control for 48 hours. The lymphocyte subsets were isolated, followed by RNA extraction and gene expression profiling using the Affymetrix HGU133Plus2.0 platform. Lenalidomide treatment had similar effects on gene expression in T-cells from both patients with CLL and healthy donors. The most prominent changes in expression were of genes involved in cytoskeletal signaling including a 20-fold increase in WASF1 (Wiskott Aldrich Syndrome protein family, member 1), and greater than 2-fold increases in the expression of Rac-family member RHOC, (Ras homolog gene family, member C), actin binding proteins CORO1B (Coronin 1B), PARVA (Parvin alpha), and the Rho guanine nucleotide exchange factors (GEFs), ARHGEF5 and ARHGEF7. We also observed changes in genes regulating integrin signaling including PXN (Paxilin) and FAK (Focal adhesion kinase), and a shift towards Th1 differentiation with upregulation of TNF, IL-12R, and IL-18R. In addition, we noted increased expression of the transcription factors IKZF1, IKZF4 and IRF4, genes involved in the Ikaros pathways that are essential for hematopoiesis and control of lymphoid proliferation. These changes in gene expression provide further evidence that an important mechanism of action of lenalidomide is the upregulation of the actin cytoskeletal network including Rho-GTPases and integrin activation signaling, and are consistent with our previous observations concerning the functional repair of T-cells in CLL. Initial analysis of the effect of lenalidomide on the gene expression profiles of the CLL B-cells showed similar changes to those previously described in vivo from CLL patients receiving single agent lenalidomide in a clinical trial (Chen et al. JCO 2010). In our system, lenalidomide treatment resulted in a greater than 2-fold upregulation of 189 genes, and a greater than 2-fold downregulation of 85 genes in CLL B-cells. We observed increased expression of several genes belonging to the TNF superfamily including TNF-α, OX40L, and APRIL, and the receptors DR5, DCR2, and OX40. Many of these are known to mediate apoptosis signaling, and we also observed increased expression of pro-apoptotic genes such as FAS, BID (BH3 interacting domain death agonist), HRK (Harakiri), and CFLAR (CASP8 and FADD-like apoptosis regulator), and cell cycle regulators CDKN1A and CDKN1C (Cyclin-dependent kinase inhibitors 1A and 1C). Lenalidomide also upregulated expression of several genes of known importance in the CLL microenvironment, including the chemokines CCL3 and CCL4, CD40, CD274 (PD-L1), CD279 (PD-1), and adhesion molecules LFA3 and ICAM1. The effect of lenalidomide on the gene expression profiles of normal B-cells was less marked, with greater than 2-fold upregulation of 51 genes and downregulation of 12 genes. However, we did observe that lenalidomide treatment induced upregulation of genes involved in cytoskeletal pathways such as RND1 (Rho family GTPase 1), RHOQ (Ras homolog gene family, member Q), and MYO1B (myosin 1B). In conclusion, investigation of the effect of lenalidomide on gene expression profiling in CLL suggests that the drug acts both to enhance T-cell function, and to render the CLL cells more susceptible to immune cell mediated killing. Disclosures: Gribben: Roche: Honoraria; Celgene: Honoraria; GSK: Honoraria; Mundipharma: Honoraria; Gilead: Honoraria; Pharmacyclics: Honoraria.

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