Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome
Abstract Genetic determinants underlying most human blood groups are now clarified but variation in expression levels remains largely unexplored. By developing a bioinformatics pipeline analyzing GATA1/Chromatin immunoprecipitation followed by sequencing (ChIP-seq) datasets, we identify 193 potentia...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-08-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-40708-w |
| _version_ | 1797558040884412416 |
|---|---|
| author | Ping Chun Wu Yan Quan Lee Mattias Möller Jill R. Storry Martin L. Olsson |
| author_facet | Ping Chun Wu Yan Quan Lee Mattias Möller Jill R. Storry Martin L. Olsson |
| author_sort | Ping Chun Wu |
| collection | DOAJ |
| description | Abstract Genetic determinants underlying most human blood groups are now clarified but variation in expression levels remains largely unexplored. By developing a bioinformatics pipeline analyzing GATA1/Chromatin immunoprecipitation followed by sequencing (ChIP-seq) datasets, we identify 193 potential regulatory sites in 33 blood-group genes. As proof-of-concept, we aimed to delineate the low-expressing complement receptor 1 (CR1) Helgeson phenotype on erythrocytes, which is correlated with several diseases and protects against severe malaria. We demonstrate that two candidate CR1 enhancer motifs in intron 4 bind GATA1 and drive transcription. Both are functionally abolished by naturally-occurring SNVs. Erythrocyte CR1-mRNA and CR1 levels correlate dose-dependently with genotype of one SNV (rs11117991) in two healthy donor cohorts. Haplotype analysis of rs11117991 with previously proposed markers for Helgeson shows high linkage disequilibrium in Europeans but explains the poor prediction reported for Africans. These data resolve the longstanding debate on the genetic basis of inherited low CR1 and form a systematic starting point to investigate the blood group regulome. |
| first_indexed | 2024-03-10T17:25:48Z |
| format | Article |
| id | doaj.art-df58f16718ab4ee09d3cf4402557b60f |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-10T17:25:48Z |
| publishDate | 2023-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-df58f16718ab4ee09d3cf4402557b60f2023-11-20T10:12:32ZengNature PortfolioNature Communications2041-17232023-08-0114111210.1038/s41467-023-40708-wElucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulomePing Chun Wu0Yan Quan Lee1Mattias Möller2Jill R. Storry3Martin L. Olsson4Division of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund UniversityDivision of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund UniversityDivision of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund UniversityDivision of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund UniversityDivision of Hematology and Transfusion Medicine, Department of Laboratory Medicine, Lund UniversityAbstract Genetic determinants underlying most human blood groups are now clarified but variation in expression levels remains largely unexplored. By developing a bioinformatics pipeline analyzing GATA1/Chromatin immunoprecipitation followed by sequencing (ChIP-seq) datasets, we identify 193 potential regulatory sites in 33 blood-group genes. As proof-of-concept, we aimed to delineate the low-expressing complement receptor 1 (CR1) Helgeson phenotype on erythrocytes, which is correlated with several diseases and protects against severe malaria. We demonstrate that two candidate CR1 enhancer motifs in intron 4 bind GATA1 and drive transcription. Both are functionally abolished by naturally-occurring SNVs. Erythrocyte CR1-mRNA and CR1 levels correlate dose-dependently with genotype of one SNV (rs11117991) in two healthy donor cohorts. Haplotype analysis of rs11117991 with previously proposed markers for Helgeson shows high linkage disequilibrium in Europeans but explains the poor prediction reported for Africans. These data resolve the longstanding debate on the genetic basis of inherited low CR1 and form a systematic starting point to investigate the blood group regulome.https://doi.org/10.1038/s41467-023-40708-w |
| spellingShingle | Ping Chun Wu Yan Quan Lee Mattias Möller Jill R. Storry Martin L. Olsson Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome Nature Communications |
| title | Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome |
| title_full | Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome |
| title_fullStr | Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome |
| title_full_unstemmed | Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome |
| title_short | Elucidation of the low-expressing erythroid CR1 phenotype by bioinformatic mining of the GATA1-driven blood-group regulome |
| title_sort | elucidation of the low expressing erythroid cr1 phenotype by bioinformatic mining of the gata1 driven blood group regulome |
| url | https://doi.org/10.1038/s41467-023-40708-w |
| work_keys_str_mv | AT pingchunwu elucidationofthelowexpressingerythroidcr1phenotypebybioinformaticminingofthegata1drivenbloodgroupregulome AT yanquanlee elucidationofthelowexpressingerythroidcr1phenotypebybioinformaticminingofthegata1drivenbloodgroupregulome AT mattiasmoller elucidationofthelowexpressingerythroidcr1phenotypebybioinformaticminingofthegata1drivenbloodgroupregulome AT jillrstorry elucidationofthelowexpressingerythroidcr1phenotypebybioinformaticminingofthegata1drivenbloodgroupregulome AT martinlolsson elucidationofthelowexpressingerythroidcr1phenotypebybioinformaticminingofthegata1drivenbloodgroupregulome |