Biology subjects

Huang, C.-T.

Publications and source records attributed to Huang, C.-T..

16 recordsLinked to original sources

bioRxiv2026

IL-17A rescues motor deficits in a mouse model 1 of Spinocerebellar Ataxia Type 2

Motor performance and coordination deficits are hallmarks of spinocerebellar ataxias, yet effective disease-modifying therapies remain limited. Here, we investigate the expression of the interleukin 17 receptor subunit A (IL-17RA) in cerebellum and assess the therapeutic potential of its ligand in a mouse model for Spinocerebellar Ataxia Type 2 (SCA2). We found that IL-17RA is highly enriched in cerebellar molecular layer interneurons (MLIs), which provide inhibitory input to Purkinje neurons. In-vitro electrophysiological recordings revealed that symptomatic SCA2 mice exhibited increased spontaneous inhibitory synaptic input onto Purkinje neurons, which was normalized by IL-17A application to control levels. Concomitantly, IL-17A application restored Purkinje neuron firing, a parameter characteristically reduced in SCA2 mice. Behaviorally, intranasal administration of IL-17A restored motor performance of symptomatic SCA2 mice to control levels in both rotarod and beam-crossing assays. Collectively, our results indicate that IL-17A rescues Purkinje neuron dysfunction and motor deficits in SCA2 mice, highlighting IL-17A signaling as a promising therapeutic target for spinocerebellar ataxia.

neuroscience↗

bioRxiv2026

WTR: A Toolkit for Functional Anterograde Transsynaptic Circuit Mapping

The brain coordinates animal physiology and behavior via neuronal circuits. To understand and simulate brain functions, it is essential to delineate the synaptic connectivity between neurons. Transsynaptic tracers serve as powerful tools for such purposes. In response to the demand for anterograde tracers for circuit mapping and functional interrogation, we developed WTR, a fusion protein of mammalian codon-optimized WGA, TEV-protease cleavage sequence, and Recombinase. WTR expressed via AAV vectors in cell-type-specific starter neurons reaches their postsynaptic neurons and releases Cre/Flpo upon exposure to TEV-protease expressed in downstream neurons. Accompanied by Cre/Flpo-dependent expression of EGFP, GCaMP7s, or ChR2, the toolkit enables labeling, recording, or manipulation of downstream neurons. We utilized WTR to characterize downstream neurons of either glutamatergic or GABAergic neurons in the preoptic area of anterior hypothalamus for their differential actions in thermoregulation or stress responses, respectively. These results establish WTR as a versatile platform for functional anterograde circuit mapping.

neuroscience↗

bioRxiv2025

Automation workflow for high-throughput arrayed plasmid DNA preparation and quantification.

High-throughput generation of arrayed plasmid DNA library using commercially available miniprep kits remains labor-intensive and costly. The yield and quality of plasmid preparations directly affect downstream applications, including arrayed viral library production and CRISPR library screening. Insufficient plasmid yield or DNA concentration often requires repeated preparations or additional DNA concentration steps to obtain adequate quantities. Similarly, higher variations in yield or quality across wells or plates can render an entire library unsuitable for subsequent experiments. To increase productivity and mitigate human intervention and errors, the present study established an automated workflow for high-throughput plasmid DNA preparation and quantification. The workflow was carried out by the Biomek i7 Hybrid automated workstation, synergizing a robotic liquid handler and multiple peripheral instruments to produce and measure plasmid DNA in a 96-well plate format. Bacterial competent cells were alkaline lysed and plasmid DNA was purified using magnetic beads, followed by quantification with the PicoGreen assay. The PicoGreen assay reported median and average yields of approximately 9.5 and 10 {micro}g per sample, respectively, which are equivalent to 7.6 and 8 {micro}g/mL of bacterial culture. Plasmid DNA concentrations measured by the PicoFluor fluorometer were consistently lower than those obtained using the NanoDrop UV spectrophotometer. The comparison demonstrated robust positive correlation between PicoGreen assay and NanoDrop measurements (R2 > 0.8). Among 480 plasmid DNA samples, average and median yields measured by the NanoDrop reached approximately 24 and 25 {micro}g per sample per well, corresponding to 19 and 20 {micro}g/mL of bacterial culture. Over 98% of samples exceeded the high-yield threshold of 10 {micro}g/mL of culture, with high plasmid quality validated through DNA gel electrophoresis. Collectively, this study demonstrated a robust, scalable, and cost-effective automation platform for high throughput arrayed plasmid library generation and quantification.

molecular biology↗

bioRxiv2025

Automation of high-throughput workflow for arrayed CRISPR activation library screening

CRISPR-mediated gene activation (CRISPRa) is among the most efficient and reliable strategies for mimicking sustained activation of endogenous promoters and their corresponding genes at physiological levels. By leveraging guide-RNA (gRNA) library design, CRISPRa screens can be applied on a whole-genome scale and are compatible with both arrayed and pooled formats, depending on assay requirements. Compared with conventional arrayed CRISPRa libraries that use single or dual gRNAs and often require multiple gRNA candidates per target, a recently developed CRISPRa library (termed T. gonfio) incorporates four tandem gRNAs per lentivector per target, thereby reducing library complexity and representing the smallest arrayed genome-wide CRISPRa library. To streamline genome-wide arrayed CRISPRa screening, this study developed a high-throughput automated workflow using the Biomek i7 Hybrid liquid-handling platform, integrated with multiple peripheral instruments. The workflow comprises three pipelines: lentiviral library transduction, cell library passaging, and assay processing. These pipelines together establish and maintain the transduced cell library for extended screening times. This enables assay processing at desired extended time points and improves the likelihood of identifying phenotypes that require longer time to develop, making the workflow suitable even for rapidly proliferating cell models. In a pilot arrayed screen using a T. gonfio mini-library targeting kinases and phosphatases, activation of the EPHA2 receptor promoter induced a growth reduction phenotype in the HEK293 cell model. This phenotype was recapitulated in a parallel pooled CRISPRa screen using the same mini-library and further validated in a co-culture assay.

cancer biology↗

bioRxiv2025

Automation of high-throughput arrayed lentivirus production and titration

Generation of arrayed genome-wide CRISPR libraries in a ready-to-transduce lentiviral format remains laborious, time-consuming, and costly. To address these limitations, the present study developed a fully automated lentivirus production and titration workflow using a Biomek i7 Hybrid automated workstation, integrated with multiple instruments and managed by SAMI EX software. The workflow produced and titrated viruses in 96 and 384-well plate formats, respectively. It employed reverse transfection and triplicate wells per lentivector to reduce variability and yielded an average of three viral particles in transduction unit (TU) per producing HEK293T cell. Titration was performed using U937-mCherry suspension cells, with the percentage of transduced cells converted from U937 (X%) to HEK293T (Y%) values via a linear regression equation (Y% = 4.3X% + 9.3%). The titer calculation was based on the initial seeding cell number, the converted percentage of HEK293T transduced cells, and virus input volume. The titration demonstrated strong reproducibility across LSRFortessa (BD) and Aurora (Cytek) flow cytometers (R2 = 0.9). Among 1,760 unconcentrated virus preparations, median and mean titers reached approximately 1.2 x 106 TU/mL, with over 97% of samples exceeding the high-titer threshold of 2x105 TU/mL, thus demonstrating a robust, scalable, and cost-effective automation platform for high throughput arrayed lentiviral library production and titration.

microbiology↗

bioRxiv2025

Automation of high-throughput arrayed mammalian cell line cultivation

Cell culture automation has traditionally been limited to basic tasks at low throughput, which are insufficient for passaging rapidly proliferating cell lines or for generating stable clonal lines. To address unmet needs, this study implemented a Biomek i7 Hybrid automated workstation, integrated with peripheral instruments and coordinated by SAMI EX software, to enable automated, high throughput mammalian cell culture workflows. The workflows support cell density monitoring, arrayed passaging, sample cherry-picking, plate reformatting, cell density normalization, and cryopreservation in 96-well plates. Integration with the CloneSelect imager allows rapid confluency monitoring and monoclonality assessment (<100 sec per plate). Cell passaging and density normalization require 32 minutes for one plate and 61 minutes for two plates. Workflow consistency was demonstrated across multiple cell lines and biological replicates, with wells showing comparable confluency within three standard deviations, lower coefficient of variation, and substantially narrower interquartile ranges after a single cell passage and density normalization. Four automation pipelines, including monoclonality screening, cell passaging and cherry-picking, density normalization, and cryopreservation, collectively enable clonal line establishment. Depending on scale, one to eight 384-well plates were processed in 69 to 355 minutes, yielding an average of 35 clonal lines per plate suitable for downstream genomic DNA sequence confirmation.

cell biology↗

bioRxiv2024

ZBTB11 Depletion Targets Metabolic Vulnerabilities in K-Ras Inhibitor Resistant PDAC

Over 95% of pancreatic ductal adenocarcinomas (PDAC) harbor oncogenic mutations in K-Ras. Upon treatment with K-Ras inhibitors, PDAC cancer cells undergo metabolic reprogramming towards an oxidative phosphorylation-dependent, drug-resistant state. However, direct inhibition of complex I is poorly tolerated in patients due to on-target induction of peripheral neuropathy. In this work, we develop molecular glue degraders against ZBTB11, a C2H2 zinc finger transcription factor that regulates the nuclear transcription of components of the mitoribosome and electron transport chain. Our ZBTB11 degraders leverage the differences in demand for biogenesis of mitochondrial components between human neurons and rapidly-dividing pancreatic cancer cells, to selectively target the K-Ras inhibitor resistant state in PDAC. Combination treatment of both K-Ras inhibitor-resistant cell lines and multidrug resistant patient-derived organoids resulted in superior anti-cancer activity compared to single agent treatment, while sparing hiPSC-derived neurons. Proteomic and stable isotope tracing studies revealed mitoribosome depletion and impairment of the TCA cycle as key events that mediate this response. Together, this work validates ZBTB11 as a vulnerability in K-Ras inhibitor-resistant PDAC and provides a suite of molecular glue degrader tool compounds to investigate its function.

cancer biology↗

bioRxiv2024

Neurotrophic factor Neuritin modulates T cell electrical and metabolic state for the balance of tolerance and immunity

The adaptive T cell response is accompanied by continuous rewiring of the T cells electric and metabolic state. Ion channels and nutrient transporters integrate bioelectric and biochemical signals from the environment, setting cellular electric and metabolic states. Divergent electric and metabolic states contribute to T cell immunity or tolerance. Here, we report that neuritin (Nrn1) contributes to tolerance development by modulating regulatory and effector T cell function. Nrn1 expression in regulatory T cells promotes its expansion and suppression function, while expression in the T effector cell dampens its inflammatory response. Nrn1 deficiency causes dysregulation of ion channel and nutrient transporter expression in Treg and effector T cells, resulting in divergent metabolic outcomes and impacting autoimmune disease progression and recovery. These findings identify a novel immune function of the neurotrophic factor Nrn1 in regulating the T cell metabolic state in a cell context-dependent manner and modulating the outcome of an immune response.

immunology↗

bioRxiv2022

Allosteric inhibitors of Zika virus NS2B-NS3 protease targeting protease in super-open conformation

Zika virus (ZIKV) is a member of the Flaviviridae family and is considered a major health threat causing cases of microcephaly in newborns and Guillain-Barre syndrome in adults. Here we targeted a transient deep and hydrophobic pocket of the super-open conformation of ZIKV NS2B-NS3 protease to overcome the limitations of the orthosteric inhibitors. After virtual docking screening of approximately 7 million compounds against the novel allosteric site we selected the top seven candidates and tested them in an enzymatic assay. Six out of seven top candidates selected by the docking screen inhibited ZIKV NS2B-NS3 protease proteolytic activity at low micromolar concentrations, as well as suppressing viral replication. These six compounds, targeting the selected protease pocket conserved in ZIKV as well as several other Flaviviruses, have opened an opportunity for a new kind of drug candidate that might be useful to treat several flaviviral infections.

pharmacology and toxicology↗

bioRxiv2022

Canonical BMP2/4 signaling degrades SOX2 in glioblastoma propagating cells.

The effect of Bone Morphogenetic Proteins (BMPs) on glioblastoma propagation cells (GPCs) is being debated [1-5]. We observed that exposure of GPCs to BMP2/4 initiates a rapid proteasomal degradation of the pluripotency factor SOX2 followed by the differentiation of GPCs into glial cells using 5 primary human glioblastoma lines tested. Enforced expression of SOX2 in GPCs antagonized BMP2/4-induced gliogenesis and reduction of proliferation. Both outcomes are consistent with the role of SOX2 in normal neurogenesis [6-8]. Using gene expression analysis, we observed that level of SOX2 in different glioblastoma lines tracks with the levels of oncogenes H/K/N-RAS and OLIG2. Our work provides support for BMP2/4-SOX2 axis in GPCs and points to the proteasome-regulated degradation of SOX2 that initiates glycogenic differentiation similar to that observed during normal development [6, 7]. Our work supports a potential for developing novel therapeutic strategies aimed at differentiation of GPC into non-tumorigenic glia.

cancer biology↗

bioRxiv2021

Comparative Genome Analysis of 'Candidatus Phytoplasma luffae' Reveals the Influential Roles of Potential Mobile Units in Phytoplasma Evolution

Phytoplasmas are insect-transmitted plant pathogens that cause substantial losses in agriculture. In addition to economic impact, phytoplasmas induce distinct disease symptoms in infected plants, thus attracting attention for research on molecular plant-microbe interactions and plant developmental processes. Due to the difficulty of establishing an axenic culture of these bacteria, culture-independent genome characterization is a crucial tool for phytoplasma research. However, phytoplasma genomes have strong nucleotide composition biases and are repetitive, which make it challenging to produce complete assemblies. In this study, we utilized Illumina and Oxford Nanopore sequencing technologies to obtain the complete genome sequence of Candidatus Phytoplasma luffae strain NCHU2019 that is associated with witches broom disease of loofah (Luffa aegyptiaca) in Taiwan. The fully assembled circular chromosome is 769 kb in size and is the first representative genome sequence of group 16SrVIII phytoplasmas. Comparative analysis with other phytoplasmas revealed that NCHU2019 has an exceptionally repetitive genome, possessing a pair of 75 kb repeats and at least 13 potential mobile units (PMUs) that account for ~25% of its chromosome. This level of genome repetitiveness is exceptional for bacteria, particularly among obligate pathogens with reduced genomes. Our genus-level analysis of PMUs demonstrated that these phytoplasma-specific mobile genetic elements can be classified into three major types that differ in gene organization and phylogenetic distribution. Notably, PMU abundance explains nearly 80% of the variance in phytoplasma genome sizes, a finding that provides a quantitative estimate for the importance of PMUs in phytoplasma genome variability. Finally, our investigation found that in addition to horizontal gene transfer, PMUs also contribute to intra-genomic duplications of effector genes, which may provide redundancy for neofunctionalization or subfunctionalization. Taken together, this work improves the taxon sampling for phytoplasma genome research and provides novel information regarding the roles of mobile genetic elements in phytoplasma evolution.

genomics↗

bioRxiv2021

Conserved Transcription Factors Control Chromatin Accessibility and Gene Expression to Maintain Cell Fate Stability and Restrict Reprogramming of Differentiated Cells

The comprehensive characterization of mechanisms safeguarding cell fate identity in differentiated cells is crucial for 1) our understanding of how differentiation is maintained in healthy tissues or misregulated in disease states and 2) to improve our ability to use direct reprogramming for regenerative purposes. To uncover novel fate-stabilizing regulators, we employed a genome-wide TF siRNA screen followed by a high-complexity combinatorial evaluation of top performing hits, in a cardiac reprogramming assay in mouse embryonic fibroblasts, and subsequently validated our findings in cardiac, neuronal and iPSCs reprogramming assays in primary human fibroblasts and adult endothelial cells. This approach identified a conserved set of 4 TFs (ATF7IP, JUNB, SP7, and ZNF207 [AJSZ]) that robustly opposes cell fate reprogramming, as demonstrated by up to 6-fold increases in efficiency upon AJSZ knockdown in both lineage- and cell type-independent manners. Mechanistically, ChIP-seq and single-cell ATAC-seq analyses, revealed that AJSZ bind to both open and closed chromatin in a genome-wide and regionalized fashion, thereby limiting reprogramming TFs access to target DNA and ability to remodel the chromatin. In parallel, integration of ChIP-seq and RNA-seq data followed by systematic functional gene testing, identified that AJSZ also promote cell fate stability by proximally down-regulating a conserved set of genes involved in the regulation of cell fate specification (MEF2C), proteome remodeling (TPP1, PPIC), ATP homeostasis (EFHD1), and inflammation signaling (IL7R), thereby limiting cells ability to undergo large-scale phenotypic changes. Finally, simultaneous knock-down of AJSZ in combination with cardiac reprogramming TFs overexpression improved heart function by 250% as compared to no treatment and 50% as compared to MGT, 1 month after myocardial infarction. In sum, this study uncovers a novel evolutionarily conserved mechanism mediating cell fate stability in differentiated cells and also identifies AJSZ as promising therapeutic targets for regenerative purposes in adult organs. Significance StatementDifferentiated cells can be converted from one cell type into another by overexpressing lineage-determining transcription factors. Direct lineage reprogramming represents a promising strategy for regenerative medicine, but current clinical applications remain limited by the low yield of the reprogramming process. Here, we present the identification and detailed mechanistic study of a novel mechanisms opposing reprogramming process and promoting cell fate stability. Using a highthroughput screening technique, we identified four transcription factors that act as blockades to cell type change. By tracking chromatin and gene expression changes, we reconstructed a conserved pathway mediating cell fate stability in differentiated cells.

cell biology↗

bioRxiv2021

Complete genome sequence of Xylella taiwanensis and comparative analysis of virulence gene content with Xylella fastidiosa

The bacterial genus Xylella contains plant pathogens that are major threats to agriculture in America and Europe. Although extensive research was conducted to characterize different subspecies of Xylella fastidiosa (Xf), comparative analysis at above-species levels were lacking due to the unavailability of appropriate data sets. Recently, a bacterium that causes pear leaf scorch (PLS) in Taiwan was described as the second Xylella species (i.e., Xylella taiwanensis; Xt). In this work, we report the complete genome sequence of Xt type strain PLS229T. The genome-scale phylogeny provided strong support that Xf subspecies pauca (Xfp) is the basal lineage of this species and Xylella was derived from the paraphyletic genus Xanthomonas. Quantification of genomic divergence indicated that different Xf subspecies share [~]87-95% of their chromosomal segments, while the two Xylella species share only [~]66-70%. Analysis of overall gene content suggested that Xt is most similar to Xf subspecies sandyi (Xfs). Based on the existing knowledge of Xf virulence genes, the homolog distribution among 28 Xylella representatives was examined. Among the 11 functional categories, those involved in secretion and metabolism are the most conserved ones with no copy number variation. In contrast, several genes related to adhesins, hydrolytic enzymes, and toxin-antitoxin systems are highly variable in their copy numbers. Those virulence genes with high levels of conservation or variation may be promising candidates for future studies. In summary, the new genome sequence and analysis reported in this work contributed to the study of several important pathogens in the family Xanthomonadaceae. Contribution to the FieldXylella fastidiosa is a plant-pathogenic bacterium with multiple subspecies that are major threats to agriculture in America and Europe. Although extensive research has been conducted, comparative analysis of this species with other bacteria is lacking due to the unavailability of known close relatives. In this work, we report the complete genome sequence of Xylella taiwanensis, a newly described species within the same genus. This new data set and our focused analysis helped to better understand the evolutionary relationships among different Xylella lineages and their genomic diversity. Moreover, detailed examination of their virulence genes identified those that are either highly conserved or variable, providing promising candidates for future studies to further investigate the molecular mechanisms of Xylella virulence.

genomics↗

bioRxiv2020

Development of an orally-administrable tumor vasculature-targeting therapeutic using annexin A1-binding D-peptides

IF7 peptide, which binds to the annexin A1 (ANXA1) N-terminal domain, functions as a tumor vasculature-targeted drug delivery vehicle after intravenous injection. To enhance IF7 stability in vivo, we undertook mirror-image peptide phage display using a synthetic D-peptide representing the Anxa1 N-terminus as target. Peptide sequences were identified, synthesized as D-amino acids, and designated as dTIT7, which was shown to bind the ANXA1 N-terminus. Whole body imaging of mouse brain tumors modeled with near infrared fluorescent IRDye-conjugated dTIT7 showed fluorescent signals in brain and kidney. Furthermore, orally-administered geldanamycin (GA)-conjugated dTIT7 suppressed brain tumor growth. Ours is a proof-of-concept experiment showing that Anxa1-binding D-peptide could be developed as an orally-administrable, tumor vasculature-targeted therapeutic. Role of each author: MN designed and performed experiments, analyzed data, and wrote the manuscript; HMA and DLJ produced recombinant ANXA1 protein; KY conducted NMR analysis and data analysis; TOA designed, performed and analyzed LC-MS/MS data; MN, TS, IKT, YS, and TY analyzed peptide-binding assays and performed in silico structural analysis; CTU produced lentivirus for luciferase expression; CNH performed peptide binding assays, tissue culture and animal experiments; and MNF supervised the project and wrote the manuscript.

pharmacology and toxicology↗

bioRxiv2019

Improving drug discovery using image-based multiparametric analysis of epigenetic landscape.

With the advent of automatic cell imaging and machine learning, high-content phenotypic screening has become the approach of choice for drug discovery due to its ability to extract drug specific multilayered data and compare it to known profiles. In the field of epigenetics such screening approaches has suffered from the lack of tools sensitive to selective epigenetic perturbations. Here we describe a novel approach Microscopic Imaging of Epigenetic Landscapes (MIEL) that captures patterns of nuclear staining of epigenetic marks (e.g. acetylated and methylated histones) and employs machine learning to accurately distinguish between such patterns (1). We demonstrated that MIEL has superior resolution compared to conventional intensity thresholding techniques and enables efficient detection of epigenetically active compounds, function-based classification, flagging possible off-target effects and even predict novel drug function. We validated MIEL platform across multiple cells lines and using dose-response curves to insure the robustness of this approach for the high content high throughput drug discovery.

cell biology↗

bioRxiv2018

Multiparametric Signature of Glioblastoma Differentiation Revealed by Imaging of Cellular Epigenetic Landscapes

The resistance of Glioblastoma (GBM) to conventional cytotoxic drugs has prompted novel therapeutic strategies, including differentiating tumor propagating cells (TPCs) into less tumorigenic cells using small molecule inducers of TPC differentiation. However, high-throughput screening for such molecules is hampered by the lack of robust markers of GBM differentiation. To obtain a signature of differentiated TPCs, we developed \"Microscopic Imaging of Epigenetic Landscapes\" (MIEL), which captures patterns of nuclear staining for epigenetic marks to derive feature-fingerprints of individual cells. We confirmed MIELs ability to accurately distinguish multiple cell fates and identified a multiparametric epigenetic signature of differentiated TPCs. Critically, we validated epigenetic imaging-based signature using global gene expression thus providing the proof of principle for the MIELs ability to select and prioritize small molecules, which induce TPC differentiation.

cancer biology↗