Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA270347 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA seq experiment of Treg cells isolated from peripheral blood of patients with pulmonary sarcoidosis compared to Treg cells from peripheral blood of healthy individuals
2025-01-23 | E-MTAB-6158 | ExpressionAtlas
Project description:Expression data from human peripheral blood subsets
| PRJNA108563 | ENA
Project description:Expression data from human effector CD4 T cells co-cultured with various Treg subsets sorted from human peripheral blood.
| PRJNA270346 | ENA
Project description:Transcription profiling by array of human CD16+ and CD16- peripheral blood monocytes from healthy individuals
2025-01-24 | E-GEOD-16836 | ExpressionAtlas
Project description:Expression data from peripheral blood
2025-01-24 | E-GEOD-54992 | ExpressionAtlas
Project description:After activation, CD4+ T helper (Th) cells differentiate into functionally specialized populations that coordinate distinct immune responses and protect against different types of pathogens. In humans, these effector and memory Th cell subsets can be readily identified in peripheral blood based on their differential expression of chemokine receptors that govern their homeostatic and inflammatory trafficking. Foxp3+ regulatory T (Treg) cells can also be divided into subsets that phenotypically mirror each of these effector populations, and share expression of key transcription factors and effector cytokines. In this study, we performed comprehensive transcriptional profiling of 11 phenotypically distinct Th and Treg cell subsets sorted from peripheral blood of healthy individuals. Despite their shared phenotypes, we found that mirror Th and Treg subsets were transcriptionally dissimilar, and that Treg cell populations showed limited transcriptional diversity compared to Th cells. We identified core transcriptional signatures shared across all Th and Treg cell populations, and unique signatures that define each of the Th or Treg populations. Finally, we applied these signatures to bulk Th and Treg RNA-seq data and found enrichment of specific Th and Treg cell populations in different human tissues. These results further define the molecular basis for the functional specialization and differentiation of Th and Treg cell populations, and provide a new resource for examining Th and Treg specialization in RNA-seq data.
2020-08-05 | GSE148970 | GEO
Project description:After activation, CD4+ T helper (Th) cells differentiate into functionally specialized populations that coordinate distinct immune responses and protect against different types of pathogens. In humans, these effector and memory Th cell subsets can be readily identified in peripheral blood based on their differential expression of chemokine receptors that govern their homeostatic and inflammatory trafficking. Foxp3+ regulatory T (Treg) cells can also be divided into subsets that phenotypically mirror each of these effector populations, and share expression of key transcription factors and effector cytokines. In this study, we performed comprehensive transcriptional profiling of 11 phenotypically distinct Th and Treg cell subsets sorted from peripheral blood of healthy individuals. Despite their shared phenotypes, we found that mirror Th and Treg subsets were transcriptionally dissimilar, and that Treg cell populations showed limited transcriptional diversity compared to Th cells. We identified core transcriptional signatures shared across all Th and Treg cell populations, and unique signatures that define each of the Th or Treg populations. Finally, we applied these signatures to bulk Th and Treg RNA-seq data and found enrichment of specific Th and Treg cell populations in different human tissues. These results further define the molecular basis for the functional specialization and differentiation of Th and Treg cell populations, and provide a new resource for examining Th and Treg specialization in RNA-seq data.
2020-08-05 | GSE135390 | GEO
Project description:Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays. To generate Tregs and Tconvs in multiple states of activation, naïve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naïve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs were sorted from blood of 7 healthy adults and RNA was isolated ex vivo or after stimulation for 40h, promoting activation-induced FOXP3 in Tconvs. The gene-expression profile of the eight cell subsets was analyzed. 7 adult healthy control samples were sorted into 4 subsets: naïve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naïve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs. These were used for RNA ex vivo and after 40h stimulation with anti-CD3/CD28 beads to induce an activation phenotype.
2016-01-19 | E-GEOD-76598 | biostudies-arrayexpress
Project description:Vg9Vd2 gd T cells, nonVg9Vd2 gd T cells and ab T cells were sorted from human fetal peripheral blood (<30 weeks of gestation) and RNA was isolated from 10,000-100,000 sorted T cells. RNA was amplified using the Ovation PicoSL WTA System (NuGen), labeled with biotin using the Encore BiotinIL Module (NuGen) and applied on Illumina HT12 bead arrays.
2015-01-08 | E-MTAB-2669 | biostudies-arrayexpress