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Featured researches published by ng-Hui Li.


Antimicrobial Agents and Chemotherapy | 2006

Complete Nucleotide Sequence of pK245, a 98-Kilobase Plasmid Conferring Quinolone Resistance and Extended-Spectrum-beta-Lactamase Activity in a Clinical Klebsiella pneumoniae Isolate

Ying-Tsong Chen; Hung-Yu Shu; Ling-Hui Li; Tsai-Lien Liao; Keh-Ming Wu; Yih-Ru Shiau; Jing-Jou Yan; Ih-Jen Su; Shih-Feng Tsai; Tsai-Ling Lauderdale

ABSTRACT A plasmid containing the qnrS quinolone resistance determinant and the gene encoding the SHV-2 β-lactamase has been discovered from a clinical Klebsiella pneumoniae strain isolated in Taiwan. The complete 98-kb sequence of this plasmid, designated pK245, was determined by using a whole-genome shotgun approach. Transfer of pK245 conferred low-level resistance to fluoroquinolones in electroporant Escherichia coli epi300. The sequence of the immediate region surrounding qnrS in pK245 is nearly identical (>99% identity) to those of pAH0376 from Shigella flexneri and pINF5 from Salmonella enterica serovar Infantis, the two other qnrS-carrying plasmids reported to date, indicating a potential common origin. Other genes conferring resistance to aminoglycosides (aacC2, strA, and strB), chloramphenicol (catA2), sulfonamides (sul2), tetracycline (tetD), and trimethoprim (dfrA14) were also detected in pK245. The dfrA14 gene is carried on a class I integron. Several features of this plasmid, including three separate regions containing putative replicons, a partitioning-control system, and a type II restriction modification system, suggest that it may be able to replicate and adapt in a variety of hosts. Although no critical conjugative genes were detected, multiple insertion sequence elements were found scattered throughout pK245, and these may facilitate the dissemination of the antimicrobial resistance determinants. We conclude that pK245 is a chimera which acquired its multiple antimicrobial resistance determinants horizontally from different sources. The identification of pK245 plasmid expands the repertoire of the coexistence of quinolone and extended-spectrum-β-lactam resistance determinants in plasmids carried by various species of the family Enterobacteriaceae in different countries.


Human Molecular Genetics | 2009

Chromosomal and genetic alterations in human hepatocellular adenomas associated with type Ia glycogen storage disease.

Priya S. Kishnani; Tzu-Po Chuang; Deeksha Bali; Dwight D. Koeberl; Stephanie Austin; David A. Weinstein; Elaine Murphy; Ying-Ting Chen; Keri Boyette; Chu-Hao Liu; Yuan-Tsong Chen; Ling-Hui Li

Hepatocellular adenoma (HCA) is a frequent long-term complication of glycogen storage disease type I (GSD I) and malignant transformation to hepatocellular carcinoma (HCC) is known to occur in some cases. However, the molecular pathogenesis of tumor development in GSD I is unclear. This study was conducted to systematically investigate chromosomal and genetic alterations in HCA associated with GSD I. Genome-wide SNP analysis and mutation detection of target genes was performed in ten GSD Ia-associated HCA and seven general population HCA cases for comparison. Chromosomal aberrations were detected in 60% of the GSD Ia HCA and 57% of general population HCA. Intriguingly, simultaneous gain of chromosome 6p and loss of 6q were only seen in GSD Ia HCA (three cases) with one additional GSD I patient showing submicroscopic 6q14.1 deletion. The sizes of GSD Ia adenomas with chromosome 6 aberrations were larger than the sizes of adenomas without the changes (P = 0.012). Expression of IGF2R and LATS1 candidate tumor suppressor genes at 6q was reduced in more than 50% of GSD Ia HCA that were examined (n = 7). None of the GSD Ia HCA had biallelic mutations in the HNF1A gene. These findings give the first insight into the distinct genomic and genetic characteristics of HCA associated with GSD Ia. These results strongly suggest that chromosome 6 alterations could be an early event in the liver tumorigenesis in GSD I, and may be in general population. These results also suggest an interesting relationship between GSD Ia HCA and steps to HCC transformation.


Cancer Genetics and Cytogenetics | 2004

Chromosomal comparative genomic hybridization abnormalities in early- and late-onset human breast cancers: correlation with disease progression and TP53 mutations

Yiin-Jeng Jong; Ling-Hui Li; Mei-Hua Tsou; Yann-Jang Chen; Skye Hongiun Cheng; Sheng Wang-Wuu; Shih-Feng Tsai; Chii-Ming Chen; Andrew T. Huang; Ming-Ta Hsu; Chi-Hung Lin

Nearly 30% of the breast cancer patients in the Taiwanese community have their diseases diagnosed before the age of 40. Their 5-year survival rate is poorer than that of their late-onset breast cancer counterparts. Genomic abnormalities between these two breast cancer age groups were compared using comparative genomic hybridization (CGH) analyses. The sample set was made up of 44 early-onset (<35 years old) and 54 late-onset cases (>63 years old). Frequent CGH changes were noted, such as gains on 8q, 1q, and 17q and losses on 16q, 17p, and 8p. These were very similar for the two age groups, as well as for Taiwanese women and other ethnic populations. In contrast, several less common lesions, such as gains on 16p and 8p and losses on 11q and 9p, were significantly different between the early- and late-onset breast tumors. In addition, more profound chromosomal changes were consistently associated with the more advanced-stage tumors, and less expression of the estrogen and the progesterone receptors, and of HER-2/neu. About 19% of the breast cancers examined carried a TP53 mutation in exons 4-9. Of these, 88% (15/17) were missense point mutations and these were distributed randomly along the tested gene fragments without apparent clustering, as has been shown in certain other ethnic or regional studies. On average, patients carrying these TP53 mutations had 9.5 CGH lesions per case, compared to only 2.8 changes in samples that had no TP53 mutation. Our results indicate that certain genomic lesions, especially 11q loss, may play a role in early-onset breast tumor formation, and that combined use of genomic patterns and molecular targets may provide a useful tool for diagnostic, therapeutic, and prognostic purposes.


Journal of Neuroimmunology | 2010

Ectopic and high CXCL13 chemokine expression in myasthenia gravis with thymic lymphoid hyperplasia.

Yu-Ming Shiao; Chin-Cheng Lee; Yung-Hsiang Hsu; Shiu-Feng Huang; Chung-Yen Lin; Ling-Hui Li; Cathy S.J. Fann; Chang-Youh Tsai; Shih-Feng Tsai; Hou-Chang Chiu

Myasthenia gravis (MG) is an antibody and complement mediated autoimmune disease. Serum CXC chemokine ligand 13 (CXCL13) was found to be elevated in MG patients and high CXCL13 level was associated with severe clinical stages, especially in females with thymic lymphoid hyperplasia. Both protein and mRNA of CXCL13 and CXC chemokine receptor 5 (CXCR5) in the thymic tissues were significantly higher in MG patients with lymphoid hyperplasia than those with thymoma. Our data indicated that serum CXCL13 can be used as an index of disease severity and ectopic thymic expression of CXCL13 might be associated with aberrant cell trafficking to the thymus of MG.


Nucleic Acids Research | 2006

A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments

Hsin-Chou Yang; Yu-Jen Liang; Mei-Chu Huang; Ling-Hui Li; Chin-Hui Lin; Jiunn-Yi Wu; Yuan-Tsong Chen; Cathy Sj Fann

Microarray-based pooled DNA methods overcome the cost bottleneck of simultaneously genotyping more than 100 000 markers for numerous study individuals. The success of such methods relies on the proper adjustment of preferential amplification/hybridization to ensure accurate and reliable allele frequency estimation. We performed a hybridization-based genome-wide single nucleotide polymorphisms (SNPs) genotyping analysis to dissect preferential amplification/hybridization. The majority of SNPs had less than 2-fold signal amplification or suppression, and the lognormal distributions adequately modeled preferential amplification/hybridization across the human genome. Comparative analyses suggested that the distributions of preferential amplification/hybridization differed among genotypes and the GC content. Patterns among different ethnic populations were similar; nevertheless, there were striking differences for a small proportion of SNPs, and a slight ethnic heterogeneity was observed. To fulfill appropriate and gratuitous adjustments, databases of preferential amplification/hybridization for African Americans, Caucasians and Asians were constructed based on the Affymetrix GeneChip Human Mapping 100 K Set. The robustness of allele frequency estimation using this database was validated by a pooled DNA experiment. This study provides a genome-wide investigation of preferential amplification/hybridization and suggests guidance for the reliable use of the database. Our results constitute an objective foundation for theoretical development of preferential amplification/hybridization and provide important information for future pooled DNA analyses.


British Journal of Dermatology | 2004

Genetic polymorphisms of the HCR gene and a genomic segment in close proximity to HLA-C are associated with patients with psoriasis in Taiwan

Yun-Ting Chang; Yu-Ming Shiao; P.J. Chin; Yu-Fen Liu; F.C. Chou; Wu S; Yung-Feng Lin; Ling-Hui Li; Ming-Wei Lin; Han-Nan Liu; Shih-Feng Tsai

Background  Although psoriasis vulgaris (PV) is strongly associated with HLA‐Cw*0602, it has been proposed that the association of Cw*0602 is due to linkage disequilibrium and that other nearby genes are involved in PV susceptibility. The α‐helix coiled‐coil rod homologue (HCR) gene, located 110 kb telomeric to the HLA‐C locus, is presumed to be one of the PV candidate genes. Recently, a 10‐kb genomic segment, centromeric to HLA‐C, defined by two new single nucleotide polymorphisms (SNPs) n.7*A and n.9*C, was found to have a stronger association with psoriasis than the HCR gene. Until now, no study of the association of the HCR gene, SNPs n.7, and n.9 has been conducted on Chinese patients with psoriasis.


Molecular Autism | 2016

Genome-wide analysis of copy number variations identifies PARK2 as a candidate gene for autism spectrum disorder

Chia-Lin Yin; Hsin-I Chen; Ling-Hui Li; Yi-Ling Chien; Hsiao-Mei Liao; Miao Chun Chou; Wen-Jiun Chou; Wen-Che Tsai; Yen-Nan Chiu; Yu-Yu Wu; Chen-Zen Lo; Jer-Yuarn Wu; Yuan-Tsong Chen; Susan Shur-Fen Gau

BackgroundAutism spectrum disorder (ASD) is an early-onset neurodevelopmental disorder with complex genetic underpinning in its etiology. Copy number variations (CNVs) as one of the genetic factors associated with ASD have been addressed in recent genome-wide association studies (GWAS). However, the significance of CNV has not been well investigated in non-Caucasian ASD population.MethodsTo identify the pathogenic CNVs responsible for ASD in Han Chinese, we performed a segment-based GWAS of CNV in 335 ASD cases and 1093 healthy controls using Affymetrix single nucleotide polymorphism (SNP) array by focusing on case-specific CNVs. PARK2 was one of the important genes with several case-specific regions overlapped on it. The findings were validated in the initial screen sample set and replicated in another sample set by real-time quantitative PCR (qPCR).ResultsA total of six CNVs at 6q26 that spanned different exons of PARK2 were identified. The PARK2 expression level was down-regulated at exon-dependent manner in cases with either deletion or duplication. The result revealed that the gene function might be disrupted by exonic deletion and duplication. We also observed that the ASD case with exonic duplication demonstrated a more severe interference of PARK2 expression and the clinical feature than the ones with deletion at the exons 2–4 of the PARK2 gene.ConclusionsOur finding provides evidence to support that CNVs affecting PARK2 function might contribute to genetic etiology of a proportion of cases with ASD. The intriguing results of this work warrant further study on characterizing the functional impact of various exonic CNVs on the PARK2 gene.Trial registrationClinicalTrials.gov NCT00494754


Journal of Gastroenterology | 2014

Identification of differentially expressed microRNAs in human hepatocellular adenoma associated with type I glycogen storage disease: a potential utility as biomarkers

Li-Ya Chiu; Priya S. Kishnani; Tzu-Po Chuang; Cheng-Yang Tang; Cheng-Yuan Liu; Deeksha Bali; Dwight D. Koeberl; Stephanie Austin; Keri Boyette; David A. Weinstein; Elaine Murphy; Adam Yao; Yuan-Tsong Chen; Ling-Hui Li

BackgroundIt is known that malignant transformation to hepatocellular carcinoma (HCC) occurs at a higher frequency in hepatocellular adenoma (HCA) from type I glycogen storage disease (GSD I) compared to HCA from other etiologies. In this study, we aimed to identify differentially expressed miRNAs in GSD Ia HCA as candidates that could serve as putative biomarkers for detection of GSD Ia HCA and/or risk assessment of malignant transformation.MethodsUtilizing massively parallel sequencing, the miRNA profiling was performed for paired adenomas and normal liver tissues from seven GSD Ia patients. Differentially expressed miRNAs were validated in liver tumor tissues, HCC cell lines and serum using quantitative RT-PCR.ResultsmiR-34a, miR-34a*, miR-224, miR-224*, miR-424, miR-452 and miR-455-5p were found to be commonly deregulated in GSD Ia HCA, general population HCA, and HCC cell lines at compatible levels. In comparison with GSD Ia HCA, the upregulation of miR-130b and downregulation of miR-199a-5p, miR-199b-5p, and miR-214 were more significant in HCC cell lines. Furthermore, serum level of miR-130b in GSD Ia patients with HCA was moderately higher than that in either GSD Ia patients without HCA or healthy individuals.ConclusionWe make the first observation of distinct miRNA deregulation in HCA associated with GSD Ia. We also provide evidence that miR-130b could serve as a circulating biomarker for detection of GSD Ia HCA. This work provides prominent candidate miRNAs worth evaluating as biomarkers for monitoring the development and progress of liver tumors in GSD Ia patients in the future.


BMC Genetics | 2008

A large-scale survey of genetic copy number variations among Han Chinese residing in Taiwan

Chien-Hsing Lin; Ling-Hui Li; Sheng-Feng Ho; Tzu-Po Chuang; Jer-Yuarn Wu; Yuan-Tsong Chen; Cathy Sj Fann

BackgroundCopy number variations (CNVs) have recently been recognized as important structural variations in the human genome. CNVs can affect gene expression and thus may contribute to phenotypic differences. The copy number inferring tool (CNIT) is an effective hidden Markov model-based algorithm for estimating allele-specific copy number and predicting chromosomal alterations from single nucleotide polymorphism microarrays. The CNIT algorithm, which was constructed using data from 270 HapMap multi-ethnic individuals, was applied to identify CNVs from 300 unrelated Han Chinese individuals in Taiwan.ResultsUsing stringent selection criteria, 230 regions with variable copy numbers were identified in the Han Chinese population; 133 (57.83%) had been reported previously, 64 displayed greater than 1% CNV allele frequency. The average size of the CNV regions was 322 kb (ranging from 1.48 kb to 5.68 Mb) and covered a total of 2.47% of the human genome. A total of 196 of the CNV regions were simple deletions and 27 were simple amplifications. There were 449 genes and 5 microRNAs within these CNV regions; some of these genes are known to be associated with diseases.ConclusionThe identified CNVs are characteristic of the Han Chinese population and should be considered when genetic studies are conducted. The CNV distribution in the human genome is still poorly characterized, and there is much diversity among different ethnic populations.


BMC Bioinformatics | 2008

MPDA: Microarray pooled DNA analyzer

Hsin-Chou Yang; Mei-Chu Huang; Ling-Hui Li; Chien-Hsing Lin; Alice L. Yu; Mitchell B. Diccianni; Jer-Yuarn Wu; Yuan-Tsong Chen; Cathy S.J. Fann

BackgroundMicroarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new technique uses pooled DNA, thereby reducing costs associated with the typing of DNA from numerous individuals. Moreover, use of an oligonucleotide gene chip reduces costs related to processing various DNA segments (e.g., primers, reagents). Thus, the technique provides an overall cost-effective solution for large-scale genomic/genetic research. However, few publicly shared tools are available to systematically analyze the rapidly accumulating volume of whole-genome pooled DNA data.ResultsWe propose a generalized concept of pooled DNA and present a user-friendly tool named Microarray Pooled DNA Analyzer (MPDA) that we developed to analyze hybridization intensity data from microarray-based pooled DNA experiments. MPDA enables whole-genome DNA preferential amplification/hybridization analysis, allele frequency estimation, association mapping, allelic imbalance detection, and permits integration with shared data resources online. Graphic and numerical outputs from MPDA support global and detailed inspection of large amounts of genomic data. Four whole-genome data analyses are used to illustrate the major functionalities of MPDA. The first analysis shows that MPDA can characterize genomic patterns of preferential amplification/hybridization and provide calibration information for pooled DNA data analysis. The second analysis demonstrates that MPDA can accurately estimate allele frequencies. The third analysis indicates that MPDA is cost-effective and reliable for association mapping. The final analysis shows that MPDA can identify regions of chromosomal aberration in cancer without paired-normal tissue.ConclusionMPDA, the software that integrates pooled DNA association analysis and allelic imbalance analysis, provides a convenient analysis system for extensive whole-genome pooled DNA data analysis. The software, user manual and illustrated examples are freely available online at the MPDA website listed in the Availability and requirements section.

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Shih-Feng Tsai

National Health Research Institutes

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Chien-Hsing Lin

National Health Research Institutes

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Keh-Ming Wu

National Health Research Institutes

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Yung-Feng Lin

National Health Research Institutes

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