Lymphocyte Gut WGS H38
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001003594 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We study lymphocyte somatic evolution through the sequencing of normal healthy lymphocytes. We perform whole-genome sequencing of single-cell derived T and B cell colonies to identify somatic mutations, and perform targeted deep-sequencing of these mutations. The lineages of T and B cells, and the frequencies of these mutations reveals the neutral and non-neutral evolutionary processes underlying lymphocyte growth and function.
| EGAS00001003596 | EGA
Project description:We study lymphocyte somatic evolution through the sequencing of normal healthy lymphocytes. We perform whole-genome sequencing of single-cell derived T and B cell colonies to identify somatic mutations, and perform targeted deep-sequencing of these mutations. The lineages of T and B cells, and the frequencies of these mutations reveals the neutral and non-neutral evolutionary processes underlying lymphocyte growth and function.
| EGAS00001002948 | EGA
Project description:We study lymphocyte somatic evolution through the sequencing of normal healthy lymphocytes. We perform whole-genome sequencing of single-cell derived T and B cell colonies to identify somatic mutations, and perform targeted deep-sequencing of these mutations. The lineages of T and B cells, and the frequencies of these mutations reveals the neutral and non-neutral evolutionary processes underlying lymphocyte growth and function. .
This dataset contains all the data available for this study on 2021-02-02.
| EGAD00001006935 | EGA
Project description:We study lymphocyte somatic evolution through the sequencing of normal healthy lymphocytes. We perform whole-genome sequencing of single-cell derived T and B cell colonies to identify somatic mutations, and perform targeted deep-sequencing of these mutations. The lineages of T and B cells, and the frequencies of these mutations reveals the neutral and non-neutral evolutionary processes underlying lymphocyte growth and function. .
This dataset contains all the data available for this study on 2021-02-02.
| EGAD00001006934 | EGA
Project description:A variety of somatic cells can be reprogrammed to induced pluripotent stem cells (iPSCs), but the small number of CD34+ hematopoietic stem cells (HSCs) present in non-mobilized peripheral blood (PB) would be a convenient and desirable starting target. We report here a simple method for targeting derivation of iPSC from non-mobilized PB CD34+ HSCs using immunobead purification and 2-4 day culture to achieve enrichment of CD34+ HSCs to 80±9%, followed by reprogramming transduction with loxP-flanked polycistronic (Oct4, Klf4, Sox2, and c-Myc) STEMCCA-loxP lentivector at an MOI of 2. Our yield was 4.7±2.2 iPSC colonies (n=12) per 20 mL non-mobilized peripheral blood, where most colonies had single copy STEMCCA-loxP that was easily excised by transient transfection expression of Cre. Resultant iPSC clones expressed pluripotent cell markers, had genomic methylation pattern closely matching embryonic stem cells, and generated teratomas containing tissues of all three germ lineages in immunodeficient mice. Furthermore, we conclude that these iPSC are derived from the non-mobilized CD34+ HSCs enriched from PB rather than from any lymphocyte or monocyte contaminants because they lacked somatic rearrangements typical of T or B lymphocytes, and because we demonstrated that purified CD14+ monocytes do not yield iPSC colonies under these reprogramming conditions.
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2016-06-01 | E-GEOD-74653 | biostudies-arrayexpress
Project description:In this study we will perform whole genome sequencing on in vitro colonies. Colonies of various sizes (100-300 cells) will be collected for somatic mutation analysis.
| EGAS00001003112 | EGA
Project description:Expression profiles of seven consecutive stages of mouse thymocyte development were generated. Previously known expression patterns of several genes were confirmed. Ten percent (1,304 of more than 13,000) of the monitored genes were found with 99% confidence to be differentially expressed across all T cell developmental stages. When compared with 1,204 genes differentially expressed in five consecutive B lineage developmental stages of bone marrow, >40% (546 genes) appeared to be shared by both lineages. However, when four pools of functionally distinct cell stages were compared between B and T cell development, DJ-rearranged precursor cells and resting immature precursor cells before and after surface Ag receptor expression shared less than 10%, mature resting lymphocytes between 15 and 20%, and only cycling precursors responding to precursor lymphocyte receptor deposition shared >50% of these differentially expressed genes. Keywords: other
2003-01-29 | GSE272 | GEO