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Yi-Wen Chen

Publications and source records attributed to Yi-Wen Chen.

13 recordsLinked to original sources
PubMed2025

DNA methylation controls the expression of tanshinone synthesis genes and the tanshinone accumulation in Salvia miltiorrhiza and Salvia bowleyana.

DNA methylation plays pivotal roles in regulating gene expression and the secondary metabolism in plants. Salvia miltiorrhiza and Salvia bowleyana are traditional Chinese medicinal plants with roots enriched with tanshinone components. However, the regulatory mechanism of DNA methylation on tanshinone production remains elusive. Here, we analyzed 30-day-old hairy roots of S. miltiorrhiza and S. bowleyana using targeted high-performance liquid chromatography analysis and found significantly higher tanshinone content in S. miltiorrhiza. Whole-genome bisulfite sequencing revealed elevated DNA methylation levels in S. miltiorrhiza, potentially due to the upregulation of methylation-related genes, including DOMAINS REARRANGED METHYLTRANSFERASE 1 (DRM1), DECREASE IN DNA METHYLATION 1 (DDM1), CHROMOMETHYLASE 2 (CMT1), and CHROMOMETHYLASE 3 (CMT3), alongside the low expression of the demethylase gene REPRESSOR OF SILENCING 1 (ROS1) in S. miltiorrhiza. Additionally, four genes that are involved in tanshinone biosynthesis, including 1-DEOXY-D-XYLULOSE-5-PHOSPHATE REDUCTASE (DXS1), GERANYLGERANYL DIPHOSPHATE SYNTHASE (GGPPS2), 4-HYDROXY-3-METHYLBUT-2-ENYL PYROPHOSPHATE REDUCTASE (HDR2), and COPALYL PYROPHOSPHATE SYNTHASE (CPS3), showed lower methylation levels in the promoters of DXS1, GGPPS2, and CPS3 and a higher DNA methylation level in the gene body of HDR2 in S. miltiorrhiza, which may lead to their high expression and the accumulation of tanshinones. Consistently, overexpression of the SmCMT3 in S. miltiorrhiza significantly reduced the contents of cryptotanshinone, tanshinone I, and tanshinone IIA. Transcriptomic and methylome analyses confirmed that the expression levels of the tanshinone biosynthesis-related genes, including SmMK, SmCPS1, SmDXS2, and SmAACT1, were correlated with their promoter or gene body DNA methylation levels. Our findings reveal that DNA methylation critically regulates tanshinone biosynthesis in S. miltiorrhiza and S. bowleyana, offering valuable insights for breeding.

Abietanes↗
PubMed2005

Activation of the endoplasmic reticulum stress response in autoimmune myositis: potential role in muscle fiber damage and dysfunction.

OBJECTIVE: The etiology and pathogenesis of human inflammatory myopathies remain unclear. Findings of several studies suggest that the degree of inflammation does not correlate consistently with the severity of clinical disease or of structural changes in the muscle fibers, indicating that nonimmune pathways may contribute to the pathogenesis of myositis. This study was undertaken to investigate these pathways in myositis patients and in a class I major histocompatibility complex (MHC)-transgenic mouse model of myositis. METHODS: We examined muscle tissue from human myositis patients and from class I MHC-transgenic mice for nonimmune pathways, using biochemical, immunohistochemical, and gene expression profiling assays. RESULTS: Up-regulation of class I MHC in skeletal muscle fibers was an early and consistent feature of human inflammatory myopathies. Class I MHC staining in muscle fibers of myositis patients showed both cell surface and a reticular pattern of internal reactivity. The pathways of endoplasmic reticulum (ER) stress response, the unfolded protein response (glucose-regulated protein 78 pathway), and the ER overload response (NF-kappaB pathway) were significantly activated in muscle tissue of human myositis patients and in the mouse model. Ectopic expression of wild-type mouse class I MHC (H-2K(b)) but not degradable glycosylation mutants of H-2K(b) induced ER stress response in C(2)C(12) skeletal muscle cells. CONCLUSION: These results indicate that the ER stress response may be a major nonimmune mechanism responsible for skeletal muscle damage and dysfunction in autoimmune myositis. Strategies to interfere with this pathway may have therapeutic value in patients with this disease.

Animals↗
PubMed2005

Downregulation of myelination, energy, and translational genes in Menkes disease brain.

Menkes disease (MD) is an X-linked recessive neurodegenerative disorder caused by mutations in a copper-transporting p-type ATPase (ATP7A) that normally delivers copper to the central nervous system. The precise reasons for neurodegeneration in MD are poorly understood. We hypothesized that gene expression changes in a MD patient with a lethal ATP7A mutation would indicate pathophysiological cascades relevant to the effects of copper deficiency in the developing brain. To test this hypothesis, oligonucleotide probes for 12,000 genes arrayed on Affymetrix Human Genome U95 GeneChips were used for expression profiling of fluorescently labeled primary cRNAs from post-mortem cerebral cortex and cerebellum of a MD patient who died at 6 months of age and a normal control brain matched for age, gender, and race. Histopathologic analysis of the proband's brain showed preservation of neuronal integrity and no hypoxic effects. However, cerebrospinal fluid and brain copper levels were subnormal, and expression profiling identified over 350 known dysregulated genes. For a subset of genes (approximately 12%) analyzed by quantitative RT-PCR, the correct cross-validation rate was 88%. Thirty known genes were altered in both cortex and cerebellum. Downregulation of genes involved in myelination, energy metabolism, and translation was the major finding. The cerebellum was more sensitive to copper deficiency.

Brain↗
PubMed2005

Beauvericin activates Ca2+-activated Cl- currents and induces cell deaths in Xenopus oocytes via influx of extracellular Ca2+.

Beauvericin is a mycotoxin that infects a wide variety of cereal grains. The toxicological importance of beauvericin is implicated by its cytotoxicity in animal and human cells, which has been suggested to result from an increase in intracellular Ca(2+) concentration ([Ca(2+)](i)). Despite the fact that beauvericin may activate extracellular Ca(2+) influx, beauvericin-induced cell deaths has been suggested to be exclusively due to Ca(2+) release from internal Ca(2+) stores. We endeavored to elucidate the mechanism of beauvericin-induced [Ca(2+)](i) increase by studying the effects of beauvericin in Xenopus oocytes. By applying a -140-mV prepulse prior to a series of test pulses, we found that beauvericin induced small inward currents at -140 mV, followed by outwardly rectifying currents that displayed an apparent reversal potential close to the expected equilibrium potential of Cl(-). Both the inward and outward currents induced by beauvericin were blocked by niflumic acid, a specific blocker for Ca(2+)-activated Cl(-) currents (I(Cl,Ca)). Removal of extracellular Ca(2+), as well as perfusion of lanthanide, abrogated beauvericin-induced currents. Beauvericin also displayed prominent cytotoxic effects in Xenopus oocytes in a dose-dependent manner. In the absence of extracellular Ca(2+), cytotoxicity-induced by 10 and 30 microM, but not 50 microM, of beauvericin was significantly diminished. Our results are consistent with the idea that beauvericin induces extracellular Ca(2+) influx, which in turn activates I(Cl,Ca) and contributes to beauvericin-induced cell deaths in Xenopus oocytes.

Action Potentials↗
PubMed2004

Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.

MOTIVATION: The most commonly utilized microarrays for mRNA profiling (Affymetrix) include 'probe sets' of a series of perfect match and mismatch probes (typically 22 oligonucleotides per probe set). There are an increasing number of reported 'probe set algorithms' that differ in their interpretation of a probe set to derive a single normalized 'signal' representative of expression of each mRNA. These algorithms are known to differ in accuracy and sensitivity, and optimization has been done using a small set of standardized control microarray data. We hypothesized that different mRNA profiling projects have varying sources and degrees of confounding noise, and that these should alter the choice of a specific probe set algorithm. Also, we hypothesized that use of the Microarray Suite (MAS) 5.0 probe set detection p-value as a weighting function would improve the performance of all probe set algorithms. RESULTS: We built an interactive visual analysis software tool (HCE2W) to test and define parameters in Affymetrix analyses that optimize the ratio of signal (desired biological variable) versus noise (confounding uncontrolled variables). Five probe set algorithms were studied with and without statistical weighting of probe sets using the MAS 5.0 probe set detection p-values. The signal-to-noise ratio optimization method was tested in two large novel microarray datasets with different levels of confounding noise, a 105 sample U133A human muscle biopsy dataset (11 groups: mutation-defined, extensive noise), and a 40 sample U74A inbred mouse lung dataset (8 groups: little noise). Performance was measured by the ability of the specific probe set algorithm, with and without detection p-value weighting, to cluster samples into the appropriate biological groups (unsupervised agglomerative clustering with F-measure values). Of the total random sampling analyses, 50% showed a highly statistically significant difference between probe set algorithms by ANOVA [F(4,10) > 14, p < 0.0001], with weighting by MAS 5.0 detection p-value showing significance in the mouse data by ANOVA [F(1,10) > 9, p < 0.013] and paired t-test [t(9) = -3.675, p = 0.005]. Probe set detection p-value weighting had the greatest positive effect on performance of dChip difference model, ProbeProfiler and RMA algorithms. Importantly, probe set algorithms did indeed perform differently depending on the specific project, most probably due to the degree of confounding noise. Our data indicate that significantly improved data analysis of mRNA profile projects can be achieved by optimizing the choice of probe set algorithm with the noise levels intrinsic to a project, with dChip difference model with MAS 5.0 detection p-value continuous weighting showing the best overall performance in both projects. Furthermore, both existing and newly developed probe set algorithms should incorporate a detection p-value weighting to improve performance. AVAILABILITY: The Hierarchical Clustering Explorer 2.0 is available at http://www.cs.umd.edu/hcil/hce/ Murine arrays (40 samples) are publicly available at the PEPR resource (http://microarray.cnmcresearch.org/pgadatatable.asp http://pepr.cnmcresearch.org Chen et al., 2004).

Cluster Analysis↗
PubMed2003

Expression profiling of FSHD muscle supports a defect in specific stages of myogenic differentiation.

The neuromuscular disorder facioscapulohumeral muscular dystrophy (FSHD) results from integral deletions of the subtelomeric repeat D4Z4 on chromosome 4q. A disruption of chromatin structure affecting gene expression is thought to underlie the pathophysiology. The global gene expression profiling of mature muscle tissue presented here provides the first insight into an FSHD-specific defect in myogenic differentiation. FSHD expression profiles generated by oligonucleotide microarrays were compared with those from normal muscle as well as other types of muscular dystrophies (DMD, aSGD) in order to determine FSHD-specific changes. In addition, matched biopsies (affected and unaffected muscle) from individuals with FSHD served to monitor expression changes during the progression of the disease as well as to diminish non-specific changes resulting from individual variability. Among genes altered in an FSHD-specific and highly significant manner, many are involved in myogenic differentiation and suggest a partial block in the normal differentiation program. Indeed, many of the transcripts affected in FSHD represent direct targets of the transcription factor MyoD. Additional mis-expressed genes confirm a diminished capacity to buffer oxidative stress, as demonstrated in FSHD myoblasts. This enhanced vulnerability of proliferative stage myoblasts to reactive oxygen species is also disease-specific, further implicating a defect in FSHD muscle satellite cells. Importantly, none of the genes localizing to the FSHD region at 4q35 were found to exhibit a significantly altered pattern of expression in FSHD muscle. This finding was corroborated by expression analysis of FSHD muscle using a custom cDNA microarray containing 51 genes and ESTs from the 4q35 region. Disruptions in FSHD myogenesis and oxidative capacity may therefore not arise from a position effect mechanism as has been previously suggested, but rather from a global effect on gene regulation. Improper nuclear localization of 4qter is discussed as an alternative model for FSHD gene regulation and pathogenesis.

Biopsy↗
PubMed2003

Molecular responses of human muscle to eccentric exercise.

We examined the effect of eccentric exercise on the transcriptome of skeletal muscle in three male human volunteers who performed 300 concentric contractions with one leg and 300 eccentric contractions with the opposite leg. Vastus lateralis muscle biopsies were taken from both legs at 4-8 h after exercise, and expression was profiled by using 12000 gene Affymetrix U95Av2 microarrays. We found a high concordance of expression responses to eccentric contractions between our human and rat data from a previous study (Chen YW, Nader GA, Baar KR, Fedele MJ, Hoffman EP, and Esser KA. J Physiol 545: 27-41, 2002) ( approximately 50% of gene expression changes shared between species). Potential human-specific changes included greater inflammatory responses [chemokine (C-C motif) ligand 2, C/EBP delta, and IL-1 receptor] and vascular remodeling (tenascin C and lipocortin II). Induction of c-fos and lipocortin II were confirmed at the protein level, with c-fos localized to myofiber nuclei and lipocortin II to intramuscular capillaries. We also confirmed the eccentric-induced expression of six transcripts by quantitative RT-PCR (cardiac ankyrin-repeated protein, chemokine ligand 2, CCAAT/enhancer binding protein delta, IL-1 receptor, tenascin C, and cysteine-rich angiogenic inducer 61). These data provide the first characterization of the transcriptional response of skeletal muscle to eccentric exercise in humans and represent a preliminary step in understanding the molecular processes underlying muscle remodeling (including a new focus on rapid changes in the capillary bed) and inflammatory responses after damaging lengthening contractions.

Adult↗
PubMed2003

Vibrio ruber sp. nov., a red, facultatively anaerobic, marine bacterium isolated from sea water.

A red, heterotrophic, marine bacterium, designated strain VR1T, was isolated from a sea-water sample collected in the shallow coastal region of Keelung, Taiwan. Cells of the novel strain were facultatively anaerobic, Gram-negative rods that were motile by means of a polar flagellum. The strain grew optimally at 25-30 degrees C and pH 6-7. Growth required the presence of NaCl, the optimal concentration being about 2%. The red pigment produced by the cells was identified as prodigiosin. Strain VR1T grew anaerobically by fermenting glucose and other carbohydrates and producing acids and gases. The strain did not require either vitamins or other organic growth factors for growth. It contained 2-OH-16 : 0 and 3-OH-14 : 0 as the major cellular fatty acids. The DNA G + C content was 45.8 mol%. Phenotypic and chemotaxonomic characterization indicated that strain VR1T represents a novel species in the genus Vibrio. Strain VR1T is phenotypically similar to Vibrio gazogenes. However, the reduction of nitrate to nitrite, the ability to utilize D-arabinose, melibiose and L-glycine as sole carbon sources, the inability to utilize sorbitol as a sole carbon source, resistance to O/129 and susceptibility to erythromycin and novobiocin allow differentiation between V. gazogenes and strain VR1T. The name Vibrio ruber sp. nov. is proposed for the novel species, with strain VR1T (=CCRC 17186T =JCM 11486T) as the type strain.

Anaerobiosis↗
PubMed2002

Response of rat muscle to acute resistance exercise defined by transcriptional and translational profiling.

To further understand molecular mechanisms underlying skeletal muscle hypertrophy, expression profiles of translationally and transcriptionally regulated genes were characterized following an acute bout of maximally activated eccentric contractions. Experiments demonstrated that translational mechanisms contribute to acute gene expression changes following high resistance contractions with two candidate mRNAs, basic fibroblast growth factor (bFGF) and elongation factor-1 alpha (EF1alpha), targeted to the heavier polysomal fractions after a bout of contractions. Gene profiling was performed using Affymetrix Rat U34A GeneChips with either total RNA or polysomal RNA at one and six hours following contractions. There were 18 genes that changed expression at one hour and 70 genes that were different (60 genes increased:10 genes decreased)at six hours after contractions. The model from this profiling suggests that following high resistance contractions skeletal muscle shares a common growth profile with proliferating cells exposed to serum. This cluster of genes can be classified as "growth" genes and is commonly associated with progression of the cell cycle. However, a unique aspect was that there was induction of a cluster of tumour suppressor or antigrowth genes. We propose that this cluster of "antigrowth" genes is induced by the stress of contractile activity and may act to maintain skeletal muscle in the differentiated state. From the profiling results, further experiments determined that p53 levels increased in skeletal muscle at 6 h following contractions. This novel finding of p53 induction following exercise also demonstrates the power of expression profiling for identification of novel pathways involved in the response to muscle contraction.

Animals↗
PubMed2002

Development and production of an oligonucleotide MuscleChip: use for validation of ambiguous ESTs.

BACKGROUND: We describe the development, validation, and use of a highly redundant 120,000 oligonucleotide microarray (MuscleChip) containing 4,601 probe sets representing 1,150 known genes expressed in muscle and 2,075 EST clusters from a non-normalized subtracted muscle EST sequencing project (28,074 EST sequences). This set included 369 novel EST clusters showing no match to previously characterized proteins in any database. Each probe set was designed to contain 20-32 25 mer oligonucleotides (10-16 paired perfect match and mismatch probe pairs per gene), with each probe evaluated for hybridization kinetics (Tm) and similarity to other sequences. The 120,000 oligonucleotides were synthesized by photolithography and light-activated chemistry on each microarray. RESULTS: Hybridization of human muscle cRNAs to this MuscleChip (33 samples) showed a correlation of 0.6 between the number of ESTs sequenced in each cluster and hybridization intensity. Out of 369 novel EST clusters not showing any similarity to previously characterized proteins, we focused on 250 EST clusters that were represented by robust probe sets on the MuscleChip fulfilling all stringent rules. 102 (41%) were found to be consistently "present" by analysis of hybridization to human muscle RNA, of which 40 ESTs (39%) could be genome anchored to potential transcription units in the human genome sequence. 19 ESTs of the 40 ESTs were furthermore computer-predicted as exons by one or more than three gene identification algorithms. CONCLUSION: Our analysis found 40 transcriptionally validated, genome-anchored novel EST clusters to be expressed in human muscle. As most of these ESTs were low copy clusters (duplex and triplex) in the original 28,000 EST project, the identification of these as significantly expressed is a robust validation of the transcript units that permits subsequent focus on the novel proteins encoded by these genes.

Algorithms↗
PubMed2002

Nuclear factor 90 mediates activation of the cellular antiviral expression cascade.

Viral infection triggers a cascade of interferon response genes, but the mechanisms that prime such innate antiviral defenses are poorly understood. Among candidate cellular mediators of the antiviral response are the double-stranded RNA (dsRNA)-binding proteins. Here we show that a C-terminal variant of the ubiquitous dsRNA-binding protein, nuclear factor 90 (NF90ctv), can activate the interferon response genes in the absence of viral infection. NF90ctv-expressing cells were infected with the syncytium-inducing HIV-1 strain NL4-3 and were shown to inhibit viral replication. To gain insight into this mechanism of protection, we analyzed the expression profiles of NF90ctv-positive cells as compared with parental cells transduced with the empty vector. Of the 5600 genes represented on the expression arrays, 90 displayed significant (4-fold or more) changes in mRNA levels in NF90-expressing cells. About 50% are known interferon alpha/beta-stimulated genes. The microarray expression data were confirmed by quantitative reverse transcriptase-polymerase chain reaction analysis of six representative interferon-inducible genes. Electrophoretic mobility shift assays showed that the biological response is mediated by the activation of transcription factors in NF90ctv-expressing cells. Functional significance of the activated transcription complex was evaluated by transfection assays with luciferase reporter constructs driven by the interferon-inducible promoter from the 2'-5'-oligoadenylate synthetase (p69) gene. Resistance to HIV-1, caused by the expression of NF90ctv in the cell culture system, appears to be mediated in part by the induction of interferon response genes. This leads to a hypothesis as to the mechanism of action of NF90 in mediating endogenous antiviral responses.

Amino Acid Sequence↗
PubMed2002

Sources of variability and effect of experimental approach on expression profiling data interpretation.

BACKGROUND: We provide a systematic study of the sources of variability in expression profiling data using 56 RNAs isolated from human muscle biopsies (34 Affymetrix MuscleChip arrays), and 36 murine cell culture and tissue RNAs (42 Affymetrix U74Av2 arrays). RESULTS: We studied muscle biopsies from 28 human subjects as well as murine myogenic cell cultures, muscle, and spleens. Human MuscleChip arrays (4,601 probe sets) and murine U74Av2 Affymetrix microarrays were used for expression profiling. RNAs were profiled both singly, and as mixed groups. Variables studied included tissue heterogeneity, cRNA probe production, patient diagnosis, and GeneChip hybridizations. We found that the greatest source of variability was often different regions of the same patient muscle biopsy, reflecting variation in cell type content even in a relatively homogeneous tissue such as muscle. Inter-patient variation was also very high (SNP noise). Experimental variation (RNA, cDNA, cRNA, or GeneChip) was minor. Pre-profile mixing of patient cRNA samples effectively normalized both intra- and inter-patient sources of variation, while retaining a high degree of specificity of the individual profiles (86% of statistically significant differences detected by absolute analysis; and 85% by a 4-pairwise comparison survival method). CONCLUSIONS: Using unsupervised cluster analysis and correlation coefficients of 92 RNA samples on 76 oligonucleotide microarrays, we found that experimental error was not a significant source of unwanted variability in expression profiling experiments. Major sources of variability were from use of small tissue biopsies, particularly in humans where there is substantial inter-patient variability (SNP noise).

Animals↗