Transcriptomics

Dataset Information

0

Genetic Engineering of Hematopoietic Stem Cells to Improve the Chance for Racial Minorities to Match with allogeneic unrelated Donors


ABSTRACT: Mismatch of HLA adversely impacts the outcome of patients after allogeneic hematopoietic stem-cell transplantation (alloHSCT). This translates into the requirement to identify suitable HLA-matched donors which curtails the chances of recipients, especially those from a racial minority, to successfully undergo alloHSCT. We sought to broaden the existing pool of registered unrelated donors based on analysis that eliminating the expression of the HLA-A increases the chance for finding a donor matched at HLA-B, -C, and -DRB1 regardless of patients’ race. This was achieved using artificial zinc finger nucleases to eliminate expression of HLA-A alleles in HSC while demonstrating the ability of these engineered stem cells to reconstitute hematopoiesis. The loss of HLA-A expression decreases the need to recruit large number of donors to match with potential recipients and has particular impact for patients whose HLA repertoire is under-represented in the current donor pool to find an appropriate HLA-matched donor

ORGANISM(S): Homo sapiens

PROVIDER: GSE67093 | GEO | 2015/03/21

SECONDARY ACCESSION(S): PRJNA278934

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-01-27 | GSE222633 | GEO
| 2129398 | ecrin-mdr-crc
| 2399702 | ecrin-mdr-crc
2020-11-10 | GSE147089 | GEO
2012-05-30 | E-GEOD-33623 | biostudies-arrayexpress
2024-09-17 | GSE277075 | GEO
2019-05-30 | E-MTAB-7003 | biostudies-arrayexpress
2021-09-01 | GSE150735 | GEO
| EGAS00001001287 | EGA
2021-07-01 | GSE134477 | GEO