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Lymph Nodes - BioProject

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Last Updated: 26 January 2022

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Vascular Damage, Thromboinflammation, Plasmablast Activation, T-Cell Dysregulation and Pathological Histiocytic Response in Pulmonary Draining Lymph Nodes of COVID-19

This study aims to describe pathophysiological changes in lethal COVID-19 lymph nodes. Using the HTG EdgeSeq Immune Response Panel, gene expression profiling was carried out. T-cell dysregulation is shown by immunohistochemical paucity of FOXP3+, T-Bet+, and LEF1+ positive T-cells, as well as a downregulation of key genes that promote T-cell communication, maturation, and migration, as well as a reactivation of herpes viruses in 6/21 COVID-19 lymph nodes ; evidence of T-cell dysregulation was demonstrated by immunohistochemical paucity, T-cells On the second sheet of the count matrix excel file, a sample that failed the internal quality control of HTG Molecular, such as poor quality of sample, insufficient read depth, or expression variation, are shown on the third sheet 'QC_summary. '.

Source link: https://www.ncbi.nlm.nih.gov/bioproject/781955


Determine MARCH1-dependent molecular differences in dendritic cells that carry allergen from the lungs to the draining lymph nodes

In the mediastinal LN to HDM allergens, MARCH1-/- mice show a defect in TH2 cell formation. We then investigated whether MARCH1 is involved in transcriptional reprograming of migratory DCs, which has been recommended to condition the DCs to promote TH2 cell formation. Cells were immediately post-sorting on the 10X Chromium and then library prep by the Institute of Human Genetics at UCSF, which was later modified for the Chromium Single Cell 3′ Reagent Kit. According to 61. 4% sequencing saturation with 48,559 mean reads per cell, the primary analysis using this software for WT DC samples revealed 2,441 cell-barcodes with 7,651 median unique molecular identifiers per cell and 2,004 median genes per cell sequences, resulting in 61. 4% sequencing saturation with 48,559 mean reads per cell. Primary analysis using this software for the MARCH1-/-DC sample revealed 681 cell-barcodes with 6,309 median unique transcripts per cell and 1,774 median genes per cell sequenced to 73. 1% sequencing saturation, with 202,410 mean reads per cell.

Source link: https://www.ncbi.nlm.nih.gov/bioproject/763224


Single-cell RNA sequencing of mesenteric lymph nodes, small intestine and colon of Casp3/7ΔIEC mice and Casp3/7FL/FL littermates

There were no differences between IECs and immune cells in signaling pathways of differentiation and inflammation, according to transcriptome and single cell RNA sequences analyses. These results show that during homeostasis apoptosis per se is dispensable for IEC turnover at the forefront of intestinal villi intestinal tissue development, microbiome composition, and immune regulation. Overall plan: Single-cell RNA sequencing was performed on mesenteric lymph nodes, small intestinal intra-epithelial lymphocytes, SI lamina propria lymphocytes, colonic IELs, and colonic LPLs isolated from Casp3/7/FL littermates. By treating with the diting agent Dithioerythritol, the epithelial layer was removed from the epithelial layer. Using a BD FACSAriaTM cell sorter, live immune cells and live epithelial cells cell sorting was carried out by fluorescence stimulated cell sorting. Single cells from both Casp3/7/8FL/FL littermates', 50% live immune cells, and 50% cells lacking expression of CD45 were sorted for RNA sequencing. Only CD45-expressing cells were sorted for RNA sequencing from the lamina propria fraction of both Casp3/7/7 mice and Casp3/7FL/FL littermates' littermates, and Casp3/7FL/FL littermates' lamina propria fractions. However, the IELs and LPLs were mixed into one sample for each genotype, resulting in each sample consisting of 25% CD45+ IELs, 25% CD45-IELs, and 50% CD45+ LPLs. Only CD45+ immune cells were sorted from the mesenteric lymph nodes of both Casp3/7 mice and Casp3/7FL/FL littermates, and Casp3/7/FL littermates, with three replicates per sample.

Source link: https://www.ncbi.nlm.nih.gov/bioproject/762283


RNA-sequencing of Vg4+Vd4+gdT cells isolated from skin-draining lymph nodes of WT and NF-kB1 deficient mice after imiquiod treatment

In comparison to those in IMQ-treated WT mice, the number of Vg4+Vd4+gdT17 cells in skin-draining lymph nodes was significantly reduced in imiqimod-treated NF-B1-/- mice. Mice were treated daily with 50 mg of 5% imiquimod cream or sham cream on both ears for four days each day for 4 days. After imiquiod treatment, Ig4+VdT cells isolated from skin-draining lymph nodes of WT and NF-KB1 deficient mice were isolated from skin-draining lymph nodes isolated from skin-draining lymph nodes of WT and NF-kB1 deficient mice were isolated from skin-draining lymph nodes of NF-KB1 deficient mice.

Source link: https://www.ncbi.nlm.nih.gov/bioproject/741275


Upregulation of VCAM-1 in lymphatic collectors supports dendritic cell entry and rapid migration to lymph nodes in inflammation

In contrast, the downstream collecting LVs are impermeable and contractile systems that transport the collected lymph and immune cells to the dLN. Intralymphatic leukocytes actively migrate within lymphatic capillaries, but de-adhere and are passively transported by flow once they have reached in the collection vessels, according to We and others. We explore that gene expression variations between capillaries and collectors could be responsible for this transition from a crawling to a flowing mode of migration, in addition to potential variations in lymph flow.

Source link: https://www.ncbi.nlm.nih.gov/bioproject/729315


Bulk RNAseq of Sort-purified IV- Primary (1M) or Quaternary (4M) Tcirc (IV- CD69-/CD103-) or Trm (IV- CD69+/CD103+) Memory P14 cells isolated from Spleen or Mediastinal Lymph Nodes

Purpose: The aim of this research is to compare the phenotypic, transcriptomic, trafficking, and financial attitutibutes of Influenza-experienced circulating or resident memory cells from the spleen or lung-draining mediastinal lymph nodes.

Source link: https://www.ncbi.nlm.nih.gov/bioproject/722744

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions