Professional Education

  • Doctor of Philosophy, National Taiwan University (2015)

Stanford Advisors


All Publications

  • Multi-Omics Profiling, Microscopic Cervical Remodeling, and Parturition: Insights from the Smart Diaphragm Study. Liang, L., Dunn, J. P., Chen, S., Tsai, M., Hornburg, D., Newmann, S., Avina, M., Leng, Y., Holman, R., Lee, T. H., Qureshi, S., Montelongo, E., Zhao, B., Jeliffe, L., Snyder, M., Rand, L. SAGE PUBLICATIONS INC. 2019: 216A
  • Smart Diaphragm Study: Multi-omics profiling and cervical device measurements during pregnancy Liang, L., Dunn, J. P., Chen, S., Tsai, M., Hornburg, D., Newmann, S., Chung, P., Avina, M., Leng, Y., Holman, R., Lee, T. H., Berrios, S., Qureshi, S. A., Baer, R., Etemadi, M., Montelongo, E., Paynter, R., Zhao, B., Roy, S., Jelliffe, L., Snyder, M., Rand, L. MOSBY-ELSEVIER. 2019: S649
  • Traversal of the Blood-Brain Barrier by Cleavable L-Lysine Conjugates of Apigenin JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY Wong, T., Tsai, M., Hsu, L., Lin, S., Liang, P. 2018; 66 (30): 8124–31


    Apigenin, a flavone abundant in parsley and celery, is known to act on several CNS receptors, but its very poor water solubility (<0.001 mg/mL) impedes its absorption in vivo and prevents clinical use. Herein, apigenin was directly conjugated with glycine, l-phenylalanine, and l-lysine to give the corresponding carbamate derivatives, all of which were much more soluble than apigenin itself (0.017, 0.018, and 0.13 mg/mL, respectively). The Lys-apigenin carbamate 10 had a temporary sedative effect on the mice within 5 min of intraperitoneal administration (single dose of 0.4 mg/g) and could be detected in the mice brain tissues at a concentration of 0.82 μg/g of intact Lys-apigenin carbamate 10 and 0.42 ug/g of apigenin at 1.5 h. This study accomplished the delivery of apigenin across the BBB in a manner that might be applicable to other congeners, which should inform the future development of BBB-crossing flavonoids.

    View details for DOI 10.1021/acs.jafc.8b01187

    View details for Web of Science ID 000440876900031

    View details for PubMedID 29923397

  • Upregulation of Haploinsufficient Gene Expression in the Brain by Targeting a Long Non-coding RNA Improves Seizure Phenotype in a Model of Dravet Syndrome. EBioMedicine Hsiao, J., Yuan, T. Y., Tsai, M. S., Lu, C. Y., Lin, Y. C., Lee, M. L., Lin, S. W., Chang, F. C., Liu Pimentel, H., Olive, C., Coito, C., Shen, G., Young, M., Thorne, T., Lawrence, M., Magistri, M., Faghihi, M. A., Khorkova, O., Wahlestedt, C. 2016; 9: 257-277


    Dravet syndrome is a devastating genetic brain disorder caused by heterozygous loss-of-function mutation in the voltage-gated sodium channel gene SCN1A. There are currently no treatments, but the upregulation of SCN1A healthy allele represents an appealing therapeutic strategy. In this study we identified a novel, evolutionary conserved mechanism controlling the expression of SCN1A that is mediated by an antisense non-coding RNA (SCN1ANAT). Using oligonucleotide-based compounds (AntagoNATs) targeting SCN1ANAT we were able to induce specific upregulation of SCN1A both in vitro and in vivo, in the brain of Dravet knock-in mouse model and a non-human primate. AntagoNAT-mediated upregulation of Scn1a in postnatal Dravet mice led to significant improvements in seizure phenotype and excitability of hippocampal interneurons. These results further elucidate the pathophysiology of Dravet syndrome and outline a possible new approach for the treatment of this and other genetic disorders with similar etiology.

    View details for DOI 10.1016/j.ebiom.2016.05.011

    View details for PubMedID 27333023

    View details for PubMedCentralID PMC4972487

  • Functional and structural deficits of the dentate gyrus network coincide with emerging spontaneous seizures in an Scn1a mutant Dravet Syndrome model during development NEUROBIOLOGY OF DISEASE Tsai, M., Lee, M., Chang, C., Fan, H., Yu, I., Chen, Y., You, J., Chen, C., Chang, F., Hsiao, J. H., Khorkova, O., Liou, H., Yanagawa, Y., Lee, L., Lin, S. 2015; 77: 35-48


    Dravet syndrome (DS) is characterized by severe infant-onset myoclonic epilepsy along with delayed psychomotor development and heightened premature mortality. A primary monogenic cause is mutation of the SCN1A gene, which encodes the voltage-gated sodium channel subunit Nav1.1. The nature and timing of changes caused by SCN1A mutation in the hippocampal dentate gyrus (DG) network, a core area for gating major excitatory input to hippocampus and a classic epileptogenic zone, are not well known. In particularly, it is still not clear whether the developmental deficit of this epileptogenic neural network temporally matches with the progress of seizure development. Here, we investigated the emerging functional and structural deficits of the DG network in a novel mouse model (Scn1a(E1099X/+)) that mimics the genetic deficit of human DS. Scn1a(E1099X/+) (Het) mice, similarly to human DS patients, exhibited early spontaneous seizures and were more susceptible to hyperthermia-induced seizures starting at postnatal week (PW) 3, with seizures peaking at PW4. During the same period, the Het DG exhibited a greater reduction of Nav1.1-expressing GABAergic neurons compared to other hippocampal areas. Het DG GABAergic neurons showed altered action potential kinetics, reduced excitability, and generated fewer spontaneous inhibitory inputs into DG granule cells. The effect of reduced inhibitory input to DG granule cells was exacerbated by heightened spontaneous excitatory transmission and elevated excitatory release probability in these cells. In addition to electrophysiological deficit, we observed emerging morphological abnormalities of DG granule cells. Het granule cells exhibited progressively reduced dendritic arborization and excessive spines, which coincided with imbalanced network activity and the developmental onset of spontaneous seizures. Taken together, our results establish the existence of significant structural and functional developmental deficits of the DG network and the temporal correlation between emergence of these deficits and the onset of seizures in Het animals. Most importantly, our results uncover the developmental deficits of neural connectivity in Het mice. Such structural abnormalities likely further exacerbate network instability and compromise higher-order cognitive processing later in development, and thus highlight the multifaceted impacts of Scn1a deficiency on neural development.

    View details for DOI 10.1016/j.nbd.2015.02.010

    View details for Web of Science ID 000353612200004

    View details for PubMedID 25725421

  • Rescue of the genetically engineered Cul4b mutant mouse as a potential model for human X-linked mental retardation HUMAN MOLECULAR GENETICS Chen, C., Tsai, M., Lin, C., Yu, I., Chen, Y., Lin, S., Juan, L., Chen, Y., Hsu, H., Lee, L., Lin, S. 2012; 21 (19): 4270-4285


    Mutation in CUL4B, which encodes a scaffold protein of the E3 ubiquitin ligase complex, has been found in patients with X-linked mental retardation (XLMR). However, early deletion of Cul4b in mice causes prenatal lethality, which has frustrated attempts to characterize the phenotypes in vivo. In this report, we successfully rescued Cul4b mutant mice by crossing female mice in which exons 4-5 of Cul4b were flanked by loxP sequences with Sox2-Cre male mice. In Cul4b-deficient (Cul4b(Δ)/Y) mice, no CUL4B protein was detected in any of the major organs, including the brain. In the hippocampus, the levels of CUL4A, CUL4B substrates (TOP1, β-catenin, cyclin E and WDR5) and neuronal markers (MAP2, tau-1, GAP-43, PSD95 and syn-1) were not sensitive to Cul4b deletion, whereas the number of parvalbumin (PV)-positive GABAergic interneurons was decreased in Cul4b(Δ)/Y mice, especially in the dentate gyrus (DG). Some dendritic features, including the complexity, diameter and spine density in the CA1 and DG hippocampal neurons, were also affected by Cul4b deletion. Together, the decrease in the number of PV-positive neurons and altered dendritic properties in Cul4b(Δ)/Y mice imply a reduction in inhibitory regulation and dendritic integration in the hippocampal neural circuit, which lead to increased epileptic susceptibility and spatial learning deficits. Our results identify Cul4b(Δ)/Y mice as a potential model for the non-syndromic model of XLMR that replicates the CUL4B-associated MR and is valuable for the development of a therapeutic strategy for treating MR.

    View details for DOI 10.1093/hmg/dds261

    View details for Web of Science ID 000308888100011

    View details for PubMedID 22763239

  • R26R-GR: A Cre-Activable Dual Fluorescent Protein Reporter Mouse PLOS ONE Chen, Y., Tsai, M., Yang, T., Ku, A. T., Huang, K., Huang, C., Chou, F., Fan, H., Hong, J., Yen, S., Wang, W., Lin, C., Hsu, Y., Su, K., Su, I., Jang, C., Behringer, R. R., Favaro, R., Nicolis, S. K., Chien, C., Lin, S., Yu, I. 2012; 7 (9)


    Green fluorescent protein (GFP) and its derivatives are the most widely used molecular reporters for live cell imagining. The development of organelle-specific fusion fluorescent proteins improves the labeling resolution to a higher level. Here we generate a R26 dual fluorescent protein reporter mouse, activated by Cre-mediated DNA recombination, labeling target cells with a chromatin-specific enhanced green fluorescence protein (EGFP) and a plasma membrane-anchored monomeric cherry fluorescent protein (mCherry). This dual labeling allows the visualization of mitotic events, cell shapes and intracellular vesicle behaviors. We expect this reporter mouse to have a wide application in developmental biology studies, transplantation experiments as well as cancer/stem cell lineage tracing.

    View details for DOI 10.1371/journal.pone.0046171

    View details for Web of Science ID 000309556100146

    View details for PubMedID 23049968

    View details for PubMedCentralID PMC3458011

  • Statistical identification of gene association by CID in application of constructing ER regulatory network BMC BIOINFORMATICS Liu, L. D., Chen, C., Chen, M. M., Tsai, M., Lee, C. S., Phang, T. L., Chang, L., Kuo, W., Hwa, H., Lien, H., Jung, S., Lin, Y., Chang, K., Hsieh, F. 2009; 10


    A variety of high-throughput techniques are now available for constructing comprehensive gene regulatory networks in systems biology. In this study, we report a new statistical approach for facilitating in silico inference of regulatory network structure. The new measure of association, coefficient of intrinsic dependence (CID), is model-free and can be applied to both continuous and categorical distributions. When given two variables X and Y, CID answers whether Y is dependent on X by examining the conditional distribution of Y given X. In this paper, we apply CID to analyze the regulatory relationships between transcription factors (TFs) (X) and their downstream genes (Y) based on clinical data. More specifically, we use estrogen receptor alpha (ERalpha) as the variable X, and the analyses are based on 48 clinical breast cancer gene expression arrays (48A).The analytical utility of CID was evaluated in comparison with four commonly used statistical methods, Galton-Pearson's correlation coefficient (GPCC), Student's t-test (STT), coefficient of determination (CoD), and mutual information (MI). When being compared to GPCC, CoD, and MI, CID reveals its preferential ability to discover the regulatory association where distribution of the mRNA expression levels on X and Y does not fit linear models. On the other hand, when CID is used to measure the association of a continuous variable (Y) against a discrete variable (X), it shows similar performance as compared to STT, and appears to outperform CoD and MI. In addition, this study established a two-layer transcriptional regulatory network to exemplify the usage of CID, in combination with GPCC, in deciphering gene networks based on gene expression profiles from patient arrays.CID is shown to provide useful information for identifying associations between genes and transcription factors of interest in patient arrays. When coupled with the relationships detected by GPCC, the association predicted by CID are applicable to the construction of transcriptional regulatory networks. This study shows how information from different data sources and learning algorithms can be integrated to investigate whether relevant regulatory mechanisms identified in cell models can also be partially re-identified in clinical samples of breast cancers.the implementation of CID in R codes can be freely downloaded from (

    View details for DOI 10.1186/1471-2105-10-85

    View details for Web of Science ID 000266602700001

    View details for PubMedID 19292896

    View details for PubMedCentralID PMC2679734

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