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Dive into the research topics where Xijin Ge is active.

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Featured researches published by Xijin Ge.


Journal of Biological Chemistry | 2004

Vascular endothelial growth factor- and thrombin-induced termination factor, Down syndrome critical region-1, attenuates endothelial cell proliferation and angiogenesis.

Takashi Minami; Keiko Horiuchi; Mai Miura; Md. Ruhul Abid; Wakako Takabe; Noriko Noguchi; Takahide Kohro; Xijin Ge; Hiroyuki Aburatani; Takao Hamakubo; Tatsuhiko Kodama; William C. Aird

Activation and dysfunction of the endothelium underlie many vascular disorders including atherosclerosis, tumor growth, and inflammation. Endothelial cell activation is mediated by many different extra-cellular signals, which result in overlapping yet distinct patterns of gene expression. Here we show, in DNA microarray analyses, that vascular endothelial growth factor (VEGF) and thrombin result in dramatic and rapid upregulation of Down syndrome critical region (DSCR)-1 gene encoding exons 4–7, a negative feedback regulator of calcium-calcineurin-NF-AT signaling. VEGF- and thrombin-mediated induction of DSCR-1 involves the cooperative binding of NF-ATc and GATA-2/3 to neighboring consensus motifs in the upstream promoter. Constitutive expression of DSCR-1 in endothelial cells markedly impaired NF-ATc nuclear localization, proliferation, and tube formation. Under in vivo conditions, overexpression of DSCR-1 reduced vascular density in matrigel plugs and melanoma tumor growth in mice. Taken together, these findings support a model in which VEGF- and thrombin-mediated induction of endothelial cell proliferation triggers a negative feedback loop consisting of DSCR-1 gene induction and secondary inhibition of NF-AT signaling. As a natural brake in the angiogenic process, this negative pathway may lend itself to therapeutic manipulation in pathological states.


FEBS Letters | 2005

2.45 GHz radiofrequency fields alter gene expression in cultured human cells

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

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.


Brain Pathology | 2004

Selective Expression of a Subset of Neuronal Genes in Oligodendroglioma with Chromosome 1p Loss

Akitake Mukasa; Keisuke Ueki; Xijin Ge; Shumpei Ishikawa; Takafumi Ide; Takamitsu Fujimaki; Ryo Nishikawa; Akio Asai; Takaaki Kirino; Hiroyuki Aburatani

Gliomas are classified based mainly on microscopic resemblance to their presumed glial origin such as astrocyte and oligodendrocyte. However, more objective diagnostic criteria are indispensable for the precise treatment of patients. For instance, loss of the short arm of chromosome 1 (1p) in oligodendrogliomas is recognized as an important marker for better response to chemotherapy and longer survival of the patients. To gain insight into their molecular biological background and to identify genes characterizing each subgroup, we investigated gene expression profile of the 4 glioma subsets, oligodendroglioma with and without 1p loss, diffuse astrocytoma and glioblastoma using DNA microarray. Remarkably, most of the genes showing distinctive expression in oligodendroglioma with 1p loss were also highly expressed in normal brain tissues and had neuron‐related function, which included MYT1L, INA, RIMS2, SNAP91 and SNCB. Histological analysis also demonstrated that MYT1L, which were abundantly expressed in normal neuron, were certainly present in tumor cells. These results suggest that oligodendroglioma, especially with 1p loss, has more or less neuronal characteristics although oligodendroglioma is thought to originate form glial lineage cell. With further pathological studies, those neuron‐related genes might be good diagnostic markers for oligodendroglioma of better prognosis as well.


Bioinformatics | 2006

A large quantity of novel human antisense transcripts detected by LongSAGE

Xijin Ge; Qingfa Wu; Yong-Chul Jung; Jun Chen; San Ming Wang

MOTIVATIONnTaking advantage of the high sensitivity and specificity of LongSAGE tag for transcript detection and genome mapping, we analyzed the 632 813 unique human LongSAGE tags deposited in public databases to identify novel human antisense transcripts.nnnRESULTSnOur study identified 45 321 tags that match the antisense strand of 9804 known mRNA sequences, 6606 of which contain antisense ESTs and 3198 are mapped only by SAGE tags. Quantitative analysis showed that the detected antisense transcripts are present at levels lower than their counterpart sense transcripts. Experimental results confirmed the presence of antisense transcripts detected by the antisense tags. We also constructed an antisense tag database that can be used to identify the antisense SAGE tags originated from the antisense strand of known mRNA sequences included in the RefSeq database.nnnCONCLUSIONSnOur study highlights the benefits of exploring SAGE data for comprehensive identification of human antisense transcripts and demonstrates the prevalence of antisense transcripts in the human genome.


Clinical Cancer Research | 2011

Gene Expression Profiles of Estrogen Receptor–Positive and Estrogen Receptor–Negative Breast Cancers Are Detectable in Histologically Normal Breast Epithelium

Kelly A. Graham; Xijin Ge; Antonio de las Morenas; Anusri Tripathi; Carol L. Rosenberg

Purpose: Previously, we found that gene expression in histologically normal breast epithelium (NlEpi) from women at high breast cancer risk can resemble gene expression in NlEpi from cancer-containing breasts. Therefore, we hypothesized that gene expression characteristic of a cancer subtype might be seen in NlEpi of breasts containing that subtype. Experimental Design: We examined gene expression in 46 cases of microdissected NlEpi from untreated women undergoing breast cancer surgery. From 30 age-matched cases [15 estrogen receptor (ER)+, 15 ER−] we used Affymetryix U133A arrays. From 16 independent cases (9 ER+, 7 ER−), we validated selected genes using quantitative real-time PCR (qPCR). We then compared gene expression between NlEpi and invasive breast cancer using four publicly available data sets. Results: We identified 198 genes that are differentially expressed between NlEpi from breasts with ER+ (NlEpiER+) compared with ER− cancers (NlEpiER−). These include genes characteristic of ER+ and ER− cancers (e.g., ESR1, GATA3, and CX3CL1, FABP7). qPCR validated the microarray results in both the 30 original cases and the 16 independent cases. Gene expression in NlEpiER+ and NlEpiER− resembled gene expression in ER+ and ER− cancers, respectively: 25% to 53% of the genes or probes examined in four external data sets overlapped between NlEpi and the corresponding cancer subtype. Conclusions: Gene expression differs in NlEpi of breasts containing ER+ compared with ER− breast cancers. These differences echo differences in ER+ and ER− invasive cancers. NlEpi gene expression may help elucidate subtype-specific risk signatures, identify early genomic events in cancer development, and locate targets for prevention and therapy. Clin Cancer Res; 17(2); 236–46. ©2010 AACR.


Journal of Applied Physics | 1999

Selective field evaporation in field-ion microscopy for ordered alloys

Xijin Ge; Nan-Xian Chen; Wenqing Zhang; Fengwu Zhu

Semiempirical pair potentials, obtained by applying the Chen-inversion technique to a cohesion equation of Rose et al. [Phys. Rev. B 29, 2963 (1984)], are employed to assess the bonding energies of surface atoms of intermetallic compounds. This provides a new calculational model of selective field evaporation in field-ion microscopy (FIM). Based on this model, a successful interpretation of FIM image contrasts for Fe3Al, PtCo, Pt3Co, Ni4Mo, Ni3Al, and Ni3Fe is given.


Scientific Reports | 2013

Genome-wide survey of interindividual differences of RNA stability in human lymphoblastoid cell lines

Jubao Duan; Jianxin Shi; Xijin Ge; Lars Dölken; Winton Moy; Deli He; Sandra Shi; Alan R. Sanders; Jeff Ross; Pablo V. Gejman

The extent to which RNA stability differs between individuals and its contribution to the interindividual expression variation remain unknown. We conducted a genome-wide analysis of RNA stability in seven human HapMap lymphoblastoid cell lines (LCLs) and analyzed the effect of DNA sequence variation on RNA half-life differences. Twenty-six percent of the expressed genes exhibited RNA half-life differences between LCLs at a false discovery rate (FDR) < 0.05, which accounted for ~ 37% of the gene expression differences between individuals. Nonsense polymorphisms were associated with reduced RNA half-lives. In genes presenting interindividual RNA half-life differences, higher coding GC3 contents (G and C percentages at the third-codon positions) were correlated with increased RNA half-life. Consistently, G and C alleles of single nucleotide polymorphisms (SNPs) in protein coding sequences were associated with enhanced RNA stability. These results suggest widespread interindividual differences in RNA stability related to DNA sequence and composition variation.


Journal of Applied Physics | 1997

INTERATOMIC POTENTIALS BETWEEN DISTINCT ATOMS FROM FIRST-PRINCIPLES CALCULATION AND LATTICE-INVERSION METHOD

Wenqing Zhang; Qian Xie; Xijin Ge; Nan-Xian Chen

The effective interatomic potentials between distinct atoms in intermetallics, such as FeAl, Fe3Al, NiAl, Ni3Al, FeCr, Al3Cr, AlLi, Al3Li, and AlLi3, are obtained by inversion of first-principles cohesive energy curves based on the lattice inversion method of Chen. The obtained potentials are used to evaluate the phonon dispersions and linear thermal expansion of some intermetallic compounds, as well as the site preference of alloying element Cr in the D03-ordered Fe3Al.


BMC Genomics | 2008

Genome-wide analysis of antisense transcription with Affymetrix exon array

Xijin Ge; Wendy S. Rubinstein; Yong-Chul Jung; Qingfa Wu

BackgroundA large number of natural antisense transcripts have been identified in human and mouse genomes. Study of their potential functions clearly requires cost-efficient method for expression analysis.ResultsHere we show that Affymetrix Exon arrays, which were designed to detect conventional transcripts in the sense orientation, can be used to monitor antisense expression across all exonic loci in mammalian genomes. Through modification of the cDNA synthesis protocol, we labeled single-strand cDNA in the reverse orientation as in the standard protocol, thus enabling the detection of antisense transcripts using the same array. Applying this technique to human Jurkat cells, we identified antisense transcription at 2,088 exonic loci of 1,516 UniGene clusters. Many of these antisense transcripts were not observed previously and some were validated by orientation-specific RT-PCR.ConclusionOur results suggest that with a modified protocol Affymetrix human, mouse and rat Exon arrays can be used as a routine method for genome-wide analysis of antisense transcription in these genomes.


BMC Plant Biology | 2009

Cbf genes of the Fr-A2 allele are differentially regulated between long-term cold acclimated crown tissue of freeze-resistant and – susceptible, winter wheat mutant lines

Fedora Sutton; Ding Geng Chen; Xijin Ge; Don Kenefick

BackgroundIn order to identify genes that might confer and maintain freeze resistance of winter wheat, a comparative transcriptome analysis was performed between control and 4 wk cold-acclimated crown tissue of two winter wheat lines that differ in field freeze survival. The lines, generated by azide mutagenesis of the winter wheat cultivar Winoka were designated FR (75% survival) and FS (30% survival). Using two winter lines for this comparative analysis removed the influence of differential expression of the vernalization genes and allowed our study to focus on Cbf genes located within the Fr-A2 allele independent of the effect of the closely mapped Vrn allele.ResultsVernalization genes, (Vrn-A1, B1 and D1), and the transcription factor gene, TaVrt-2, were up-regulated to the same extent in FR and FS lines with cold acclimation thus confirming that azide mutagenesis had not modified the winter habitat of the lines. One category of Cbf genes, (Cbf-2, -A22 and B-22) reflected an increase in level of expression with cold acclimation in both FR and FS lines. Another category of Cbf genes (Cbf-3, -5, -6, -12, -14 and -19) were differentially expressed between cold-acclimated FR and FS lines relative to the non-acclimated controls. Comparison of expression patterns of the two categories of Cbf genes with the expression patterns of a set of ABA-dependent and -independent Cor/Lea genes revealed similar patterns of expression for this sample of Cor/Lea genes with that for Cbf-2 and -22. This pattern of expression was also exhibited by the Vrn genes.ConclusionSome Cor/Lea genes may be co-regulated by the Vrn genes during cold acclimation and the Vrn genes may also control the expression of Cbf-2, -A22 and -B22. The increased freeze survival by the FR line and the increase in expression levels of wheat Cbf genes, Cbf-3, -5, -6, -12, -14 and -19 with cold acclimation in the FR line suggests a possible gain of function mutation resulting in higher levels of expression of these Cbf genes and increased freeze survival.

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San Ming Wang

University of Nebraska Medical Center

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Qingfa Wu

University of California

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Yeong C. Kim

University of Nebraska Medical Center

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Sanggyu Lee

Kyungpook National University

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Gerard G. Bouffard

National Institutes of Health

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