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Transcriptomic profiling of bone marrow cells from healthy individuals

ABSTRACT: We performed whole-genome transcriptomic profiling of RNA from mononuclear cells from bone marrow aspirates taken from healthy individuals. This study complements GSE58335: transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals.

ORGANISM(S): Homo sapiens

PROVIDER: GSE61410 | GEO | 2014/10/27

SECONDARY ACCESSION(S): PRJNA261023

REPOSITORIES: GEO

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Transcriptomic profiling of bone marrow cells from healthy individuals

Project description:We performed whole-genome transcriptomic profiling of RNA from mononuclear cells from bone marrow aspirates taken from healthy individuals. This study complements GSE58335: transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals. High-throughput sequencing was done using the Illumina GA IIx. The RNA is from previously published samples (Stirewalt et al., Genes Chromosomes Cancer, 2008, PMID:17910043)

2014-10-27 | E-GEOD-61410 | biostudies-arrayexpress

Transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals

Project description:Substantial effort is currently devoted to identifying cancer-associated alterations using genomics. Here, we show that standard blood collection procedures rapidly change the transcriptional and post-transcriptional landscapes of hematopoietic cells, resulting in biased activation of specific biological pathways, up-regulation of pseudogenes, antisense RNAs, and unannotated coding isoforms, and RNA surveillance inhibition. Affected genes include common mutational targets and thousands of other genes participating in processes such as chromatin modification, RNA splicing, T and B cell activation, and NF-κB signaling. The majority of published leukemic transcriptomes exhibit signals of this incubation-induced dysregulation, explaining up to 40% of differences in gene expression and alternative splicing between leukemias and reference normal transcriptomes. The effects of sample processing are particularly evident in pan-cancer analyses. We provide biomarkers that detect prolonged incubation of individual samples, and show that keeping blood on ice markedly reduces changes to the transcriptome. In addition to highlighting the potentially confounding effects of technical artifacts in cancer genomics data, our study emphasizes the need to survey the diversity of normal as well as neoplastic cells when characterizing tumors. This study is complemented by GSE61410: transcriptomic profiling of bone marrow cells from healthy individuals. Peripheral blood mononuclear cells (PBMCs) were isolated from four healthy individuals, following an ex vivo incubation of variable length at either room temperature or on ice. RNA transcriptomes were measured using the Illumina HiSeq.

2014-10-27 | E-GEOD-58335 | biostudies-arrayexpress

Comparison of peripheral blood leucocyte subsets in healthy individuals

Project description:CD4+ T cells, CD8+ T cells, CD14+ monocytes, and CD16+ neutrophils from the peripheral blood of 5 healthy individuals were isolated and their ex vivo transcriptomic profiles measured.

2016-06-23 | E-MTAB-4887 | biostudies-arrayexpress

Transcriptomic profile of circulating memory T cells can differentiate between latent tuberculosis individuals and healthy controls

Project description:Tuberculosis (TB) is responsible for the majority of mortality and morbidity associated with infectious diseases worldwide. The characterization of exact molecular components of immune response associated with protection against TB may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with latent infection with Mycobacterium tuberculosis. Transcriptomic profiling using RNA sequencing was performed on memory CD4 and CD8 T cells isolated from individuals with latent tuberculosis, as well as from tuberculosis negative healthy controls. Overall, we found specific gene signatures in each cell subset that could successfully discriminate between individuals with latent tuberculosis and healthy controls.

2019-06-12 | GSE84445 | GEO

Homo sapiens

Project description:Transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals

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Transcriptomic profile of circulating memory CD4 T cells can differentiate between latent tuberculosis individuals and healthy controls

Project description:Tuberculosis (TB) is responsible for the majority of mortality and morbidity associated with infectious diseases worldwide. The characterization of exact molecular components of immune response associated with protection against TB may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with latent infection with Mycobacterium tuberculosis. Transcriptomic profiling using RNA sequencing was performed on memory CD4 T cells isolated from individuals with latent tuberculosis, as well as from tuberculosis negative healthy controls. Overall, we found specific gene signatures in each cell subset that could successfully discriminate between individuals with latent tuberculosis and healthy controls.

2018-06-14 | GSE99373 | GEO

Transcriptomic profile of circulating memory CD8 T cells can differentiate between latent tuberculosis individuals and healthy controls

Project description:Tuberculosis (TB) is responsible for the majority of mortality and morbidity associated with infectious diseases worldwide. The characterization of exact molecular components of immune response associated with protection against TB may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with latent infection with Mycobacterium tuberculosis. Transcriptomic profiling using RNA sequencing was performed on memory CD8 T cells isolated from individuals with latent tuberculosis, as well as from tuberculosis negative healthy controls. Overall, we found specific gene signatures in each cell subset that could successfully discriminate between individuals with latent tuberculosis and healthy controls.

2020-05-26 | GSE99374 | GEO

DNA methylation analysis of liver samples from healthy individuals and patients with advanced metabolic dysfunction associated steatohepatitis (MASH)

Project description:To investigate MASH-associated changes in DNA-methylation, a genome-wide DNA methylation profiling of livers from healthy individuals compared to those with MASH was performed using the 850K MethylationEPIC BeadChip Array. Further differential methylation analysis allowed us to identify a MASH epigenetic signature. Both males and females were included in this cohort, consisting of 4 MASH patients and 3 healthy individuals.

2024-03-01 | GSE241366 | GEO

Chromothripsis in healthy individuals

Project description:Chromothripsis in healthy individuals affects multiple protein-coding genes and can result in severe congenital abnormalities in offspring

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Expression levels of HLA-DRB and HLA-DQ are associated with MHC Class II haplotypes in healthy individuals and rheumatoid arthritis patients

Project description:HLA-DRB1 alleles have been associated with several autoimmune diseases. In anti-citrullinated protein antibody positive rheumatoid arthritis (ACPA-positive RA), HLA-DRB1 shared epitope (SE) alleles are the major genetic risk factors. In order to investigate whether expression of different alleles of major histocompatibility complex (MHC) Class II genes influence functions of immune cells, we investigated transcriptomic profiles of a variety of immune cells from healthy individuals carrying different HLA-DRB1 alleles. Sequencing libraries from peripheral blood mononuclear cells, CD4+ T cells, CD8+ T cells, and CD14+ monocytes of 32 genetically pre-selected healthy female individuals were generated, sequenced and reads were aligned to the standard reference. For the MHC region, reads were mapped to available MHC reference haplotypes and AltHapAlignR was used to estimate gene expression. Using this method, HLA-DRB and HLA-DQ were found to be differentially expressed in different immune cells of healthy individuals as well as in whole blood samples of RA patients carrying HLA-DRB1 SE-positive versus SE-negative alleles. In contrast, no genes outside the MHC region were differentially expressed between individuals carrying HLA-DRB1 SE-positive and SE-negative alleles. Existing methods for HLA-DR allele-specific protein expression were evaluated but were not mature enough to provide appropriate complementary information at the protein level. Altogether, our findings suggest that immune effects associated with different allelic forms of HLA-DR and HLA-DQ may be associated not only with differences in the structure of these proteins, but also with differences in their expression levels.

2020-12-22 | GSE163605 | GEO

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