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Expression data from spleen and lymph node conventional CD11c+ Dendritic cells

ABSTRACT: Spleen and lymph node dendritic cells have a differential capacity do induce and retain iTreg cells. Therefore we performed a comparative analysis of the dendritic cells derived from these two compartments to identify the responsible genes

ORGANISM(S): Mus musculus

PROVIDER: GSE39022 | GEO | 2012/06/30

SECONDARY ACCESSION(S): PRJNA169615

REPOSITORIES: GEO

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Expression data from spleen and lymph node conventional CD11c+ Dendritic cells

Project description:Spleen and lymph node dendritic cells have a differential capacity do induce and retain iTreg cells. Therefore we performed a comparative analysis of the dendritic cells derived from these two compartments to identify the responsible genes CD11c+ conventional dendritic cells were facs sorted from spleens and lymph nodes of BALB/c animals for RNA extraction and hybridization on Affymetreix microarray

2012-06-29 | E-GEOD-39022 | biostudies-arrayexpress

Immune and tumor cell gene expression from node positive and node negative breast cancers' primary tumor, lymph nodes and peripheral blood

2013-01-11 | GSE41986 | GEO

Immune and tumor cell gene expression from node positive and node negative breast cancers' primary tumor, lymph nodes and peripheral blood

Project description:Analysis of purified immune and breast tumor cells from three major compartments where cancer and immune cells interact: primary tumor, tumor draining lymph nodes (tumor invaded or tumor free), and peripheral blood. The results suggests that node-positive patients’ immune regulation and functionality is down-regulated compared to node-negative patients. CD45+ Immune and ESA+ tumor cells were purified from breast cancer patients' primary tumor, tumor-draining lymph node, and peripheral blood (ficoll) and placed onto Agilent microarrays using the dye-swap method. A universal human reference was used as a reference for the patient samples.

2013-01-11 | E-GEOD-41986 | biostudies-arrayexpress

Matrix Remodelling during Lymph Node Expansion

Project description:In this study we focussed our investigations on ECM remodelling by FRCs during lymph node (LN) expansion, and the interconnection between the cellular and ECM components of the conduit network. We demonstrate a loss of ECM components of the conduit during acute LN expansion

2021-05-11 | PXD015816 | Pride

Human melanoma-derived extracellular vesicles reprogram dendritic cells potentially enabling lymph node metastases

Project description:Evolution of melanoma from a primary tumor to widespread metastasis is crucially dependent on lymphatic spread. The mechanisms regulating the initial step in metastatic dissemination via regional lymph nodes remain largely unknown. We have previously described a dysfunctional immune profile that precedes evidence of metastasis in the first node draining from the primary tumor, the sentinel lymph node (SLN). Herein, we explore the role of melanoma-derived extracellular vesicles (EVs) as mediators of this pre-metastatic niche through cargo-specific polarization of dendritic cells (DCs). Utilizing mass cytometry, pre-metastatic SLNs demonstrate compromised co-stimulatory CD80 expression compared to healthy lymph nodes. Similarly, DCs matured in vitro in the presence of melanoma EVs showed impaired co-stimulation and polarization towards a chronic inflammatory cytokine milieu. Profiling of melanoma EV cargo identified shared proteomic and RNA signatures including the signaling axis S100A8, S100A9 and cognate receptor TLR4. Mechanistically, S100A8 and S100A9 compromised DC maturation, a phenotype which was partially recovered following TLR4 blockade. Early evidence demonstrates similar EVs can be isolated from human afferent lymphatic fluid ex vivo. Taken together, we propose synergistic interactions among melanoma EV cargo are responsible for suppressing DC maturation, potentially explaining the survival of malignant melanocytes metastasizing into seemingly “normal” regional lymph nodes.

2018-10-26 | PXD005539 | Pride

Gene expression signatures for B cells from tumor draining lymph node and normal lymph node

Project description:To determine the different gene signatures between B lymphocytes from tumor draining lymph node (DLN) and normal lymph node (NLN), we have employed gene microarray as a discovery platform to identify gene signatures of tumor-educated B cells in DLN from tumor-bearing mice, taking NLN from normal mice as a control. We subcutaneously inoculated Balb/c mice with breast cancer cell line 4T1. Two weeks later, DLN was harvest and B cells were purified as descript in “treatment protocol”. From gene microarray, we found that B cells in DLN showed quite different transcript profiles from that in NLN.

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Follicular lymphoma lymph node

Project description:24 independent follicular lymphoma lymph node samples on LC microarrays was used to generate the gene lists in tables 2 and 3 of publication patients were divided into two groups, rituximab responders (composed of CR and PR) and non-responders (composed of NR and MR). Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set

2005-11-23 | GSE3647 | GEO

Microarray analyses of lymph node dendritic cells (DCs) stimulated in vitro with papain or LPS

Project description:T helper type 2 (Th2) responses are induced by protease allergens and helminthes. However the molecular mechanisms that initiate Th2 responses are poorly understood. To obtain insight into this mechanism, we performed a microarray analysis of lymph node DCs stimulated in vitro with the protease allergen papain, or with LPS, a Th1 inducing stimulus. Key words: Th2 response, LPS, dendritic cells, Papain

2010-05-05 | GSE21602 | GEO

Molecular tracking devices quantify antigen distribution and archiving in the lymph node.

Project description:Live, attenuated vaccines generate humoral and cellular immune memory, increasing the duration of protective immune memory. We previously found that antigens derived from vaccination or viral infection persist beyond infection clearance via acquisition and retention (“archiving”) in lymphatic endothelial cells (LECs). Archived antigen maintains an effector-like pool of antigen-specific memory T cells, enhancing clearance of subsequent infections. Technical limitations of fluorescent labeling have precluded a complete picture of antigen archiving across cell types in lymph tissue. We developed a “molecular tracking device” to follow the distribution, acquisition, and retention of antigen in the lymph node. We immunized mice with an antigen conjugated to a nuclease-resistant DNA tag and used single-cell mRNA sequencing to quantify its abundance across major cell types in the lymph node two weeks later, validating its acquisition by migratory dendritic cells and durable retention by LECs and unexpected stromal cell types. Variable antigen levels in LECs enabled the identification and validation of caveolar endocytosis as a mechanism of antigen acquisition. Molecular tracking devices enable new approaches to study dynamic tis-sue dissemination at cellular resolution in vivo. We developed a 'molecular tracking device' to follow the distribution, acquisition, and retention of antigen across cell types in the lymph node. We immunized mice with an antigen conjugated to a nuclease-resistant DNA tag and used single-cell mRNA sequencing to quantify its abundance in immune and stromal cell types two weeks later, validating its retention by LECs and transfer to migratory dendritic cells and defining new reservoirs of archived antigen in stromal cells. Molecular tracking devices broadly enable new approaches to study molecular dissemination and retention in live animals.

2021-04-12 | GSE150719 | GEO

Comparison of lymph node negative (N0) and lymph node metastasis (N+) head and neck squamous-cell carcinomas (HNSCC)

Project description:A classifier was build on 82 training samples to differentiate between lymph node negative (N0) and lymph node metastasis (N+) head and neck squamous-cell carcinomas (HNSCC). The 102 predictor genes that resulted from this classifier where then validated against a independent validation set.

2005-01-09 | E-UMCU-11 | biostudies-arrayexpress

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