Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Characterization of early stages of human B cell development by gene expression profiling

ABSTRACT: We have characterized several stages of normal human B cell development in adult bone marrow by gene expression profiling of hemopoietic stem cells, early B (E-B), pro-B, pre-B, and immature B cells, using RNA amplification and Lymphochip cDNA microarrays (n = 6). Hierarchical clustering of 758 differentially expressed genes clearly separated the five populations. We used gene sets to investigate the functional assignment of the differentially expressed genes. Genes involved in VDJ recombination as well as B lineage-associated transcription factors (TCF3 (E2A), EBF, BCL11A, and PAX5) were turned on in E-B cells, before acquisition of CD19. Several transcription factors with unknown roles in B lymphoid cells demonstrated interesting expression patterns, including ZCCHC7 and ZHX2. Compared with hemopoietic stem cells and pro-B cells, E-B cells had increased expression of 18 genes, and these included IGJ, IL1RAP, BCL2, and CD62L. In addition, E-B cells expressed T/NK lineage and myeloid-associated genes including CD2, NOTCH1, CD99, PECAM1, TNFSF13B, and MPO. Expression of key genes was confirmed at the protein level by FACS analysis. Several of these Ags were heterogeneously expressed, providing a basis for further subdivision of E-B cells. Altogether, these results provide new information regarding expression of genes in early stages of human B cell development. Total RNA was extracted from HSC, E-B (CLP), pro-B, pre-B, and IM-B cell populations from human BM, 6 different donors from each population. Total RNA was also extracted from naive B cells, centroblasts, centrocytes or memoty B cells from tonsils, each population was pooled from 4 different donors). The total RNA was amplified, and hybridized to Lymphochip cDNA microarrays

ORGANISM(S): Homo sapiens

SUBMITTER: Erlend Smeland

PROVIDER: E-GEOD-14714 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Characterization of early stages of human B cell development by gene expression profiling.

Hystad Marit E ME Myklebust June H JH Bø Trond H TH Sivertsen Einar A EA Rian Edith E Forfang Lise L Munthe Else E Rosenwald Andreas A Chiorazzi Michael M Jonassen Inge I Staudt Louis M LM Smeland Erlend B EB

Journal of immunology (Baltimore, Md. : 1950) 20070901 6

We have characterized several stages of normal human B cell development in adult bone marrow by gene expression profiling of hemopoietic stem cells, early B (E-B), pro-B, pre-B, and immature B cells, using RNA amplification and Lymphochip cDNA microarrays (n = 6). Hierarchical clustering of 758 differentially expressed genes clearly separated the five populations. We used gene sets to investigate the functional assignment of the differentially expressed genes. Genes involved in VDJ recombination ...[more]

PMID: 17785802

Similar Datasets

Project description:Head and neck squamous cell carcinomas (HNSCCs) is the seventh most common solid malignancy in the United States, accounting for more than 47,000 new cancer cases. HNSCC shows significant diversity in its clinical behavior after treatment, which cannot be predicted using the current clinical or pathological markers. Despite tumor complexity, many studies have tried unsuccessfully to test single genes to be used as prognostic markers in HNSCC. A group of tumor samples can be characterized in terms of the behavior of modules. These modules include clusters of coexpressed genes, such as genes that belong to the same pathway or functional category. Cancer is a multifaceted phenomenon that involves activation and/or disruption of various cellular processes. Thus, the identification of pathways or group of genes such as those involved in the development of lymph node metastasis and recurrent disease may help understanding the complex biology of cancer. Samples were obtained during surgery and neck dissection of 47 patients with primary untreated HNSCC at the Head and Neck Surgery Department from the Hospital AC Camargo (São Paulo, Brazil) between 1998 and 2003. Diagnosis of HNSCC was determined by biopsy. All patients signed a pre-informed consent and the study was approved by our institutional review board. After surgery, all patients were treated with adjuvant radiotherapy. Recurrence were diagnosed by imaging or biopsy. Tumor samples were snap-frozen in liquid nitrogen. Before RNA extraction, diagnosis was confirmed by hematoxylin-eosin staining. Frozen samples were hand dissected for removal of normal cells, necrosis, and infiltrating inflammatory cells. Total RNA was extracted using TRIzol. RNA quality was accessed by spectrophotometry and gel electrophoresis. To be considered as high-quality, the RNA had to have a 260/280 ratio higher than 1.7 and a 18S/28S rRNA ratio ~2. Amplifictaion of the mRNA was done using a T7-based protocol and cDNA was indirectly labeled with Alexa Dye 555 or 647. Samples and a common RNA reference were hybridized overnight at 42oC in dye-swap to a 4,800-element in-house printed microarray, enriched with cancer-related ESTs derived from the Human Cancer Genome Project. After washing, slides were scanned on a confocal laser scanner and data were extracted.

Project description:Head and neck squamous cell carcinomas (HNSCCs) is the seventh most common solid malignancy in the United States, accounting for more than 47,000 new cancer cases. Surgery of patients clinically diagnosed with lymph node metastasis (N+) also involves neck dissection, which causes disfigurement and pain. However, after histological examination, more than 30% of clinically N+ patients turn out to be metastasis-free (N0). Clinically negative lymph node patients have occult node metastasis in up to 50% of the cases. Within two years of follow-up these patients may or may not develop metastatic disease. On the other hand, around 50% of N0 patients do not have occult node metastasis. Therefore, many N0 patients undergo neck dissection unnecessarily. Due to limitations in detecting lymph node metastasis before surgery, both N+ and N0 patients may receive inappropriate treatment. This indicates that a better understanding of the biology of HNSCC is urgently needed. Despite tumor complexity, many studies have tried unsuccessfully to test single genes to be used as prognostic markers in HNSCC. A group of tumor samples can be characterized in terms of the behavior of modules. These modules include clusters of coexpressed genes, such as genes that belong to the same pathway or functional category. Cancer is a multifaceted phenomenon that involves activation and/or disruption of various cellular processes. Thus, the identification of pathways or group of genes such as those involved in the development of lymph node metastasis and recurrent disease may help understanding the complex biology of cancer. Samples were obtained during surgery and neck dissection of 81 patients with primary untreated HNSCC at the Head and Neck Surgery Department from the Hospital AC Camargo (São Paulo, Brazil) between 1998 and 2003. Diagnosis of HNSCC was determined by biopsy. All patients signed a pre-informed consent and the study was approved by our institutional review board. After surgery, all patients were treated with adjuvant radiotherapy. Tumor samples were snap-frozen in liquid nitrogen. Before RNA extraction, diagnosis was confirmed by hematoxylin-eosin staining. Frozen samples were hand dissected for removal of normal cells, necrosis, and infiltrating inflammatory cells. Total RNA was extracted using TRIzol. RNA quality was accessed by spectrophotometry and gel electrophoresis. To be considered as high-quality, the RNA had to have a 260/280 ratio higher than 1.7 and a 18S/28S rRNA ratio ~2. Amplifictaion of the mRNA was done using a T7-based protocol and cDNA was indirectly labeled with Alexa Dye 555 or 647. Samples and a common RNA reference were hybridized overnight at 42oC in dye-swap to a 4,800-element in-house printed microarray, enriched with cancer-related ESTs derived from the Human Cancer Genome Project. After washing, slides were scanned on a confocal laser scanner and data were extracted.

Dataset Information

Characterization of early stages of human B cell development by gene expression profiling

Publications

Characterization of early stages of human B cell development by gene expression profiling.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure