-
Hongxiu Wen,
Yongjin Li,
Sami N Malek, Yeong C Kim,
Jia Xu,
Peixian Chen,
Fengxia Xiao,
Xin Huang,
Xianzheng Zhou,
Zhenyu Xuan,
Shiva Mankala,
Guihua Hou,
Janet D Rowley,
Michael Q Zhang,
San Ming Wang
[show abstract]
[hide abstract]
ABSTRACT: Genetic aberrations contribute to acute myeloid leukemia (AML). However, half of AML cases do not contain the well-known aberrations detectable mostly by cytogenetic analysis, and these cases are classified as normal karyotype AML. Different outcomes of normal karyotype AML suggest that this subgroup of AML could be genetically heterogeneous. But lack of genetic markers makes it difficult to further study this subgroup of AML. Using paired-end RNAseq method, we performed a transcriptome analysis in 45 AML cases including 29 normal karyotype AML, 8 abnormal karyotype AML and 8 AML without karyotype informaiton. Our study identified 134 fusion transcripts, all of which were formed between the partner genes adjacent in the same chromosome and distributed at different frequencies in the AML cases. Seven fusions are exclusively present in normal karyotype AML, and the rest fusions are shared between the normal karyotype AML and abnormal karyotype AML. CIITA, a master regulator of MHC class II gene expression and truncated in B-cell lymphoma and Hodgkin disease, is found to fuse with DEXI in 48% of normal karyotype AML cases. The fusion transcripts formed between adjacent genes highlight the possibility that certain such fusions could be involved in oncological process in AML, and provide a new source to identify genetic markers for normal karyotype AML.
PLoS ONE 01/2012; 7(12):e51203. · 4.09 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Allograft rejection is a leading cause for the failure of allotransplantation. CD4(+) T cells play critical roles in this process. The identification of genes that alternatively expressed in CD4(+) T cells during allograft rejection will provide critical information for studying the mechanism of allograft rejection, finding specific gene markers for monitoring, predicting allograft rejection, and opening new ways to regulate and prevent allograft rejection. Here, we established allograft and isograft transplantation models by adoptively transferring wild-type BALB/c mouse CD4(+) T cells into severe combined immunodeficient (SCID) mice with a C57BL/6 or BALB/c mouse skin graft. Using the whole transcriptome sequencing-based serial analysis of gene expression (SAGE) technology, we identified 97 increasingly and 88 decreasingly expressed genes that may play important roles in allograft rejection and tolerance. Functional classification of these genes shows that apoptosis, transcription regulation, cell growth and maintenance, and signal transduction are among the frequently changed functional groups. This study provides a genome-wide view for the candidate genes of CD4(+) T cells related to allotransplantation, and this report is a good resource for further microarray studies and for identifying the specific markers that are associated with clinical organ transplantations.
Cell Transplantation 02/2011; 20(2):333-50. · 5.13 Impact Factor
-
Xin Huang,
Hongfeng Guo,
Syam Tammana,
Yong-Chul Jung,
Emil Mellgren,
Preetinder Bassi,
Qing Cao,
Zheng Jin Tu, Yeong C Kim,
Stephen C Ekker,
Xiaolin Wu,
San Ming Wang,
Xianzheng Zhou
[show abstract]
[hide abstract]
ABSTRACT: In this study, we compared the genomic integration efficiencies and transposition site preferences of Sleeping Beauty (SB or SB11), Tol2, and piggyBac (PB) transposon systems in primary T cells derived from peripheral blood lymphocytes (PBL) and umbilical cord blood (UCB). We found that PB demonstrated the highest efficiency of stable gene transfer in PBL-derived T cells, whereas SB11 and Tol2 mediated intermediate and lowest efficiencies, respectively. Southern hybridization analysis demonstrated that PB generated the highest number of integrants when compared to SB and Tol2 in both PBL and UCB T cells. Tol2 and PB appeared more likely to promote clonal expansion than SB, which may be in part due to the dysregulated expression of cancer-related genes near the insertion sites. Genome-wide integration analysis demonstrated that SB, Tol2, and PB integrations occurred in all the chromosomes without preference. Additionally, Tol2 and PB integration sites were mainly localized near transcriptional start sites (TSSs), CpG islands and DNaseI hypersensitive sites, whereas SB integrations were randomly distributed. These results suggest that SB may be a preferential choice of the delivery vector in T cells due to its random integration site preference and relatively high efficiency, and support continuing development of SB-mediated T-cell phase I trials.
Molecular Therapy 10/2010; 18(10):1803-13. · 6.87 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Chronic lymphocytic leukemia (CLL) is the most common adult leukemia in the western population. Although genetic factors are considered to contribute to CLL etiology, at present genomic aberrations identified in CLL are limited compared with those identified in other types of leukemia, which raises the question of the degree of genetic influence on CLL. We performed a high-resolution genome scanning study to address this issue.
Using the restriction paired-end-based Ditag Genome Scanning technique, we analyzed three primary CLL samples at a kilobase resolution, and further validated the results in eight primary CLL samples including the two used for ditag collection. From 51,632 paired-end tags commonly detected in the three CLL samples representing 5% of the HindIII restriction fragments in the genomes, we identified 230 paired-end tags that were present in all three CLL genomes but not in multiple normal human genome reference sequences. Mapping the full-length sequences of the fragments detected by these unmapped tags in seven additional CLL samples confirmed that these are the genomic aberrations caused by small insertions and deletions, and base changes spreading across coding and non-coding regions.
Our study identified hundreds of loci with insertion, deletion, base change, and restriction site polymorphism present in both coding and non-coding regions in CLL genomes, indicating the wide presence of small genomic aberrations in chronic lymphocytic leukemia. Our study supports the use of a whole genome sequencing approach for comprehensively decoding the CLL genome for better understanding of the genetic defects in CLL.
BMC Research Notes 01/2010; 3:341.
-
[show abstract]
[hide abstract]
ABSTRACT: Studying gene expression at different hematopoietic stages provides insights for understanding the genetic basis of hematopoiesis. We analyzed gene expression in human CD34(+) hematopoietic cells that represent the stem-progenitor population (CD34(+) cells). We collected >459,000 transcript signatures from CD34(+) cells, including the de novo-generated 3' ESTs and the existing sequences of full-length cDNAs, ESTs, and serial analysis of gene expression (SAGE) tags, and performed an extensive annotation on this large set of CD34(+) transcript sequences. We determined the genes expressed in CD34(+) cells, verified the known genes and identified the new genes of different functional categories involved in hematopoiesis, dissected the alternative gene expression including alternative transcription initiation, splicing, and adenylation, identified the antisense and noncoding transcripts, determined the CD34(+) cell-specific gene expression signature, and developed the CD34(+) cell-transcription map in the human genome. Our study provides a current view on gene expression in human CD34(+) cells and reveals that early hematopoiesis is an orchestrated process with the involvement of over half of the human genes distributed in various functions. The data generated from our study provide a comprehensive and uniform resource for studying hematopoiesis and stem cell biology.
Proceedings of the National Academy of Sciences 05/2009; 106(20):8278-83. · 9.68 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Normal genome variation and pathogenic genome alteration frequently affect small regions in the genome. Identifying those genomic changes remains a technical challenge. We report here the development of the DGS (Ditag Genome Scanning) technique for high-resolution analysis of genome structure. The basic features of DGS include (1) use of high-frequent restriction enzymes to fractionate the genome into small fragments; (2) collection of two tags from two ends of a given DNA fragment to form a ditag to represent the fragment; (3) application of the 454 sequencing system to reach a comprehensive ditag sequence collection; (4) determination of the genome origin of ditags by mapping to reference ditags from known genome sequences; (5) use of ditag sequences directly as the sense and antisense PCR primers to amplify the original DNA fragment. To study the relationship between ditags and genome structure, we performed a computational study by using the human genome reference sequences as a model, and analyzed the ditags experimentally collected from the well-characterized normal human DNA GM15510 and the leukemic human DNA of Kasumi-1 cells. Our studies show that DGS provides a kilobase resolution for studying genome structure with high specificity and high genome coverage. DGS can be applied to validate genome assembly, to compare genome similarity and variation in normal populations, and to identify genomic abnormality including insertion, inversion, deletion, translocation, and amplification in pathological genomes such as cancer genomes.
Genome Research 06/2008; 18(5):751-62. · 13.61 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Transcripts expressed in eukaryotes are classified as poly A+ transcripts or poly A- transcripts based on the presence or absence of the 3' poly A tail. Most transcripts identified so far are poly A+ transcripts, whereas the poly A- transcripts remain largely unknown.
We developed the TRD (Total RNA Detection) system for transcript identification. The system detects the transcripts through the following steps: 1) depleting the abundant ribosomal and small-size transcripts; 2) synthesizing cDNA without regard to the status of the 3' poly A tail; 3) applying the 454 sequencing technology for massive 3' EST collection from the cDNA; and 4) determining the genome origins of the detected transcripts by mapping the sequences to the human genome reference sequences. Using this system, we characterized the cytoplasmic transcripts from HeLa cells. Of the 13,467 distinct 3' ESTs analyzed, 24% are poly A-, 36% are poly A+, and 40% are bimorphic with poly A+ features but without the 3' poly A tail. Most of the poly A- 3' ESTs do not match known transcript sequences; they have a similar distribution pattern in the genome as the poly A+ and bimorphic 3' ESTs, and their mapped intergenic regions are evolutionarily conserved. Experiments confirmed the authenticity of the detected poly A- transcripts.
Our study provides the first large-scale sequence evidence for the presence of poly A- transcripts in eukaryotes. The abundance of the poly A- transcripts highlights the need for comprehensive identification of these transcripts for decoding the transcriptome, annotating the genome and studying biological relevance of the poly A- transcripts.
PLoS ONE 02/2008; 3(7):e2803. · 4.09 Impact Factor
-
Sanggyu Lee,
Junmo Hwang,
Jodie Ulaszek, Yeong C Kim,
Hui Dong,
Hyung Soo Kim,
Ji Woong Seok,
Bo Kyung Suh,
So Jeong Yim,
Debra Johnson,
Nong Hoon Choe,
Kyu Tae Chang,
Zae Young Ryoo,
Charles C Tseng,
Amittha Wickrema,
San Ming Wang
[show abstract]
[hide abstract]
ABSTRACT: When a cell is destined for apoptosis, will its genome reprogram its transcriptional machinery to overcome the life-threatening challenge? To address this issue, we performed a genome-wide transcriptome analysis in EPO (erythropoietin) deprivation-induced apoptotic erythroid cells using the SAGE method. The results show that the transcript contents for the majority of the genes remain unchanged in the apoptotic cells, including the apoptotic genes and the heat shock genes. Of the small number of genes with an altered expression, they are mainly associated with cellular structure. Our study reveals that there is no genetic reprogramming for the transcriptional machinery in the apoptotic genome. Apoptosis, as defined by programmed cell death, is not a crisis but a peaceful physiological process.
Biochemical and Biophysical Research Communications 09/2007; 359(3):556-62. · 2.48 Impact Factor
-
Sanggyu Lee,
Debra Johnson,
K Dunbar,
Hui Dong,
Xijin Ge, Yeong C Kim,
Claudia Wing,
Nimanthi Jayathilaka,
Nimmi Emmanuel,
Chenn Q Zhou,
Howard L Gerber,
Charles C Tseng,
San Ming Wang
[show abstract]
[hide abstract]
ABSTRACT: The biological effect of radiofrequency (RF) fields remains controversial. We address this issue by examining whether RF fields can cause changes in gene expression. We used the pulsed RF fields at a frequency of 2.45 GHz that is commonly used in telecommunication to expose cultured human HL-60 cells. We used the serial analysis of gene expression (SAGE) method to measure the RF effect on gene expression at the genome level. We observed that 221 genes altered their expression after a 2-h exposure. The number of affected genes increased to 759 after a 6-h exposure. Functional classification of the affected genes reveals that apoptosis-related genes were among the upregulated ones and the cell cycle genes among the downregulated ones. We observed no significant increase in the expression of heat shock genes. These results indicate that the RF fields at 2.45 GHz can alter gene expression in cultured human cells through non-thermal mechanism.
FEBS Letters 09/2005; 579(21):4829-36. · 3.54 Impact Factor
-
Sanggyu Lee,
Jingyue Bao,
Guolin Zhou,
Joshua Shapiro,
Jinhua Xu,
Run Zhang Shi,
Xuemei Lu,
Terry Clark,
Deborah Johnson, Yeong C Kim, [......],
Charles Tseng,
Min Sun,
Wei Lin,
Jun Wang,
Huanming Yang,
Jian Wang,
Wei Du,
Chung-I Wu,
Xiuqing Zhang,
San Ming Wang
[show abstract]
[hide abstract]
ABSTRACT: Increasing evidence suggests that low-abundant transcripts may play fundamental roles in biological processes. In an attempt to estimate the prevalence of low-abundant transcripts in eukaryotic genomes, we performed a transcriptome analysis in Drosophila using the SAGE technique. We collected 244,313 SAGE tags from transcripts expressed in Drosophila embryonic, larval, pupae, adult, and testicular tissue. From these SAGE tags, we identified 40,823 unique SAGE tags. Our analysis showed that 55% of the 40,823 unique SAGE tags are novel without matches in currently known Drosophila transcripts, and most of the novel SAGE tags have low copy numbers. Further analysis indicated that these novel SAGE tags represent novel low-abundant transcripts expressed from loci outside of currently annotated exons including the intergenic and intronic regions, and antisense of the currently annotated exons in the Drosophila genome. Our study reveals the presence of a significant number of novel low-abundant transcripts in Drosophila, and highlights the need to isolate these novel low-abundant transcripts for further biological studies.
RNA 07/2005; 11(6):939-46. · 5.09 Impact Factor
