Project description:We sorted CD45-CD44+CD90+ stromal cells from multiple tumor types and performed bulk RNA-seq. The data allows to infer CAF programs active across indications.
Project description:To identify patterns of gene expression within six broadly defined cell populations, we also performed cell sorting for bulk RNA-sequencing including compartments denoted: 1. “Live”: All viable cells at the time of sorting, 2. “Tconv”: sorted conventional CD4+ and CD8+ T cells, 3. “Treg”: CD25+ CD4+ (enriched for regulatory) T cells, 4. “Myeloid”: Lymphocyte-negative HLA-DR+ (enriched for myeloid) cells, 5. “Stromal”: CD45- CD44+Thy1+ cells, and 6. “Tumor”: all other CD45- cells
Project description:To explore the functional difference between CD90+CD39+ and CD90+CD39- fibroblasts in human hypertrophic scar and normal skin, the gene expresson microarray was performed on Live CD49f- E-Cadherin- Lin- CD45- CD31- CD90+ CD39+ and Live CD49f- E-Cadherin- Lin- CD45- CD31- CD90+ CD39- cells sorted from suspension disgested from three human hypertrophic scar samples; and Live CD49f- E-Cadherin- Lin- CD45- CD31- CD90+ CD39+ cells sorted from suspension disgested from three human normal skin samples
Project description:RNA-sequencing was performed on sorted CD11b-CD11c-B220-CD45+TCRbeta+CD44+CD8+ TIL from vehicle or JHU083 treated MC38 tumor-bearing mice with or without JHU083, pro-drug of 6-Diazo-5-oxo-L-norleucine (glutamine antagonist) treatment for expression profiling
Project description:To characterize CD142+ ASPCs (Aregs) after exposure to an adipogenic cocktail we performed bulk RNA-seq (using BRB-seq) of total, CD142− and CD142+ mouse adipose stem and progenitor cells (ASPCs), sorted using four different anti-CD142 antibodies. ASPCs were collected as Lin− (CD31− CD45− TER119−) CD29+ CD34+ SCA1+ cells of the mouse subcutaneous stromal vascular fraction using FACS.
Project description:To investigate the phenotypic differences between high and low avidity tumor-specific CD8+ tumor-infiltrating lymphocytes (TILs) following anti-PD-1 therapy, we performed bulk RNA-seq on tetramer sorted GSW11-specific T cells from three regressing and three progressing CT26 tumors: giving three groups of total TethiCD8+CD44+ TILs from the progressing tumors (TetHighProg), TetloCD8+CD44+ TILs from the progressing tumors (TetLowProg) and TetloCD8+CD44+ TILs from the regressing tumors (TetLowReg), total 9 samples.
Project description:Objectives/Design: Intervertebral Disc (IVD) degeneration has been associated with a chronic inflammatory response, but knowledge on the contribution of distinct IVD cells, namely CD44, to the progression of IVD degeneration remains elusive. Material: Bovine nucleus pulposus (NP) cells. Treatment: Stimulation with IL-1beta (10ng/ml). Methods: CD44 NP cells were sorted and compared by gene expression and proteomics with the negative counterpart. Dynamics of CD44 gene and protein expression was analyzed upon pro-inflammatory treatment. Results: CD44 has a multidimensional functional role in IVD metabolism, ECM synthesis and production of neuropermissive factors. CD44 widespread expression in NP has been partially associated with CD14 and CD45, resulting in the identification of distinct cell subsets. Conclusions: This study points out CD44 and CD44-based cell subsets as relevant targets in the modulation of the IVD pro-inflammatory/degenerative cascade.
Project description:We performed bulk RNA sequencing on sorted T cells (7AAD- Calcein blue+ CD45+ THY1.1- TCRb+) in an orthotopic EMT6 tumor model 7 days after treatment initiation in four experimental groups: 1) Control 2) aPD-L1 3) aTGFb 4) aPD-L1 and aTGFb.
Project description:Adipose-derived MSCs (AMSC) are currently utilized in clinical trials for various diseases including osteoarthritis, amyotrophic lateral sclerosis, and multiple system atrophy. Whilst AMSCs may be defined by the surface expression of classical markers including CD44, CD90, CD105, and absence of CD45, these cells may exhbit donor-to-donor differences in differentiation potential. In this study we evaluated the expression of CD36 amongst AMSCs and utilized magnetic cell sorting to enrich for CD36+ cells. Whole transcriptome RNA-sequencing was performed on unsorted, CD36+ enriched, and CD36+ depleted cells to determine gene expression difference between these populations of cells. CD36 sorted or unsorted cells were then plated and maintained in growth medium. Cells were expanded for 2 passages and passage 8 cells were plated for RNA-sequencing analysis. Trizol reagent was used to harvest cells when they were proliferating cells (~80%) or 100% confluent cells.
Project description:The prostate stroma is a key mediator of epithelial differentiation and development, and potentially plays a role in the initiation and progression of prostate cancer. Isolation and characterization of viable populations of the constituent cell types of prostate tumors could provide valuable insight into the biology of cancer. The CD90+ stromal fibromuscular cells from tumor specimens were isolated by cell-sorting and analyzed by DNA microarray. Dataset analysis was used to compare gene expression between normal and tumor-associated reactive stromal cells. Reactive stroma is characterized by smooth muscle differentiation, prostate down-regulation of SPOCK3, MSMB, CXCL13, and PAGE4, bladder down-regulation of TRPA1, HSD17B2, IL24, and SALL1, and an up-regulation of CXC-chemokines. This study identified a group of differentially expressed genes in CD90+ reactive stromal cells that are potentially involved in organ development and smooth muscle cell differentiation. Experiment Overall Design: A total of 15 arrays were run for the following sample types obtained from 10 patients: Experiment Overall Design: 2 CD90+ prostate tumor-associated stromal: Experiment Overall Design: Patient 1: CP_Str_08-028_CD90posi Experiment Overall Design: Patient 2: 08-032_CP_strom_CD90posi Experiment Overall Design: 2 CD13+ normal bladder stromal: Experiment Overall Design: Patient 3: 06-125_NB_CD13posi Experiment Overall Design: Patient 4: 06-070_NB_str_CD13posi Experiment Overall Design: 1 CD13+ bladder tumor-associated stromal: Experiment Overall Design: Patient 5: 07-008_CB_str_CD13posi Experiment Overall Design: 5 whole tissue prostate cancer and 5 normal tissue from matched pairs: Experiment Overall Design: Patient 6: 05-206_CaP, 05-206_NP Experiment Overall Design: Patient 7: 05-213_CaP, 05-213_NP Experiment Overall Design: Patient 8: 05-214_CaP, 05-214_NP Experiment Overall Design: Patient 9: 05-218_CaP, 05-218_NP Experiment Overall Design: Patient 10: 05-220_CaP, 05-220_NP Experiment Overall Design: Additionally, 8 arrays were run for the following sample types obtained from 7 patients: Experiment Overall Design: 5 CD49a+ normal prostate stromal (PMID 16638148): Experiment Overall Design: Patient 1: CD49a_01-26-04 Experiment Overall Design: Patient 2: CD49a_03-23-04 Experiment Overall Design: Patient 3: CD49a_03-04-04 Experiment Overall Design: Patient 4: CD49a-1_06-02-04 Experiment Overall Design: Patient 5: CD49a-4_06-02-04 Experiment Overall Design: 3 CD26+ prostate cancer (2 biological replicates, 1 sample run twice): Experiment Overall Design: Patient 6: 05-179_CD26t Experiment Overall Design: Patient 6: 05-179_CD26t_2 Experiment Overall Design: Patient 7: 08-032_CP_epi_CD26posi Experiment Overall Design: The following two prostate cancer samples were also included in the analyses: Experiment Overall Design: CD26+ cancer cell, replicate 1 Experiment Overall Design: CD26+ cancer cell, replicate 2 Experiment Overall Design: The tissue samples consisted of prostate tissue specimens obtained from patients undergoing radical prostatectomy under approval by the University of Washington Institutional Review Board. The same approach was used for both cancer-free and cancer-enriched (where at least 85% of the cells in the corresponding frozen section were of cancer) samples. To obtain bladder stromal cells for analysis, tissue specimens were obtained from cystoprostatectomy surgeries. For cell sorting, the collected specimens were processed within hours. Cell types were sorted using monoclonal antibodies specific for tumor-associated prostate stromal cells (CD90), tumor-associated bladder stromal cells (CD13) and normal bladder stromal cells (CD13) with MACS.