Author Archives: gdkm04

Co-inhibition of Aurora A and Haspin kinases enhances survivin blockage and p53 induction for mitotic catastrophe and apoptosis in human colorectal cancer

趙瑞益教授研究團隊發表研究成果於 Biochemical Pharmacology

連結網址:https://www.sciencedirect.com/science/article/pii/S0006295222003835

Abstract

Abstract

Colorectal cancer (CRC) is a leading cause and mortality worldwide. Aurora A and haspin kinases act pivotal roles in mitotic progression. However, the blockage of Aurora A and Haspin for CRC therapy is still unclear. Here we show that the Haspin and p-H3T3 protein levels were highly expressed in CRC tumor tissues of clinical patients. Overexpression of Haspin increased the protein levels of p-H3T3 and survivin in human CRC cells; conversely, the protein levels of p-H3T3 and survivin were decreased by the Haspin gene knockdown. Moreover, the gene knockdown of Aurora A induced abnormal chromosome segregation, mitotic catastrophe, and cell growth inhibition. Combined targeted by co-treatment of CHR6494, a Haspin inhibitor, and MLN8237, an Aurora A inhibitor, enhanced apoptosis and CRC tumor inhibition. MLN8237 and CHR6494 induced abnormal chromosome segregation and mitotic catastrophe. Meanwhile, MLN8237 and CHR6494 inhibited survivin protein levels but conversely induced p53 protein expression. Ectopic survivin expression by transfection with a survivin-expressed vector resisted the cell death in the MLN8237- and CHR6494-treated cells. In contrast, the existence of functional p53 increased the apoptotic levels by treatment with MLN8237 and CHR6494. Co-treatment of CHR6494 and MLN8237 enhanced the blockage of human CRC xenograft tumors in nude mice. Taken together, co-inhibition of Aurora A and Haspin enhances survivin inhibition, p53 pathway induction, mitotic catastrophe, apoptosis and tumor inhibition that may provide a potential strategy for CRC therapy.

CRISPRi-enhanced direct photosynthetic conversion of carbon dioxide to succinic acid by metabolically engineered cyanobacteria

蘭宜錚副教授研究團隊發表研究成果於 Bioresource Technology

連結網址:https://pubmed.ncbi.nlm.nih.gov/36252759/

Abstract

Engineering photoautotrophic microorganisms to directly convert carbon dioxide into platform chemicals is an attractive approach for chemical sustainability and carbon mitigation. Here, an engineered cyanobacterium Synechococcus elongatus PCC 7942 was developed to produce succinic acid directly from ambient carbon dioxide. Inhibition of succinate dehydrogenase and glycogen synthase by CRIPSR interference increased carbon flux towards succinic acid. Dual inhibition of these two genes led to an 82% increase in titer. The resulting strain produced 4.8 g/L of succinic acid in a 28-days cultivation. However, cells after the 28-days cultivation became non-viable and cannot continue production. This issue was addressed by re-inoculation with fresh cells into the production medium. This strategy enabled continuous succinic acid accumulation, reaching a final titer of 8.9 g/L. This study provides a sustainable route to succinic acid directly from carbon dioxide and a potential method to overcome the low titer limitation of cyanobacterial-based bioproduction for practical applications.

MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis

陳亭妏副教授研究團隊發表研究成果於 Bioinformatics

連結網址:https://academic.oup.com/bioinformatics/article/38/18/4286/6649618

Abstract

Motivation: Microbiota analyses have important implications for health and science. These analyses make use of 16S/18S rRNA gene sequencing to identify taxa and predict species diversity. However, most available tools for analyzing microbiota data require adept programming skills and in-depth statistical knowledge for proper implementation. While long-read amplicon sequencing can lead to more accurate taxa predictions and is quickly becoming more common, practitioners have no easily accessible tools with which to perform their analyses.

Results: We present MOCHI, a GUI tool for microbiota amplicon sequencing analysis. MOCHI preprocesses sequences, assigns taxonomy, identifies different abundant species and predicts species diversity and function. It takes either taxonomic count table or FASTQ of partial 16S/18S rRNA or full-length 16S rRNA gene as input. It performs analyses in real time and visualizes data in both tabular and graphical formats.

Availability and implementation: MOCHI can be installed to run locally or accessed as a web tool at https://mochi.life.nctu.edu.tw

Multimodal single-cell analysis provides novel insights on ankylosing spondylitis in females

柯泰名助理教授研究團隊發表研究成果於 Clin Transl Med.

連結網址:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547115/

Summary

Ankylosing spondylitis (AS) is a chronic rheumatic disease that causes disability and severe impairment in the quality of life, especially in females. However, almost nothing is known about how large heterogenous circulating immune cells are involved in developing AS. Here we used droplet-based single-cell sequencing for multi-omic profiling of PBMCs obtained from female patients and sex-matched healthy individuals and performed multimodal single-cell analyses including single-cell-level unbiased transcriptome, surface protein expression, pseudotemporal trajectory analysis, cell-cell interaction analysis, and T-cell receptor repertoire. By applying multiple filtering strategies, we selected common single-cell blood features across the patients to reveal a unique T-cell state wherein GIMAP7 was up-regulated and NFKBIA was down-regulated. Furthermore, we identified a panel of cell-surface markers and dominant T-cell clonotypes on this unique T-cell subset (NFKBIA- GIMAP7+). We identified a unique VEGI signalling pathway between the T-cells and NK cells that uncovered potential triggers for developing exclusive T-cell states in female patients with AS. This finding could be valuable for developing innovative therapies that selectively target the aberrant immune response in female patients with AS.

Next generation sequencing reveals miR-431–3p/miR-1303 as immune-regulating microRNAs for active tuberculosis

陳亭妏助理教授研究團隊發表研究成果於 Journal of Infection

連結網址:https://www.sciencedirect.com/science/article/pii/S0163445322005175?via%3Dihub

Summary

Objectives: RNA therapeutics is an emerging field that widens the range of treatable targets and would improve disease outcome through bypassing the antibiotic bactericidal targets to kill Mycobacterium tuberculosis (M.tb).
Methods: We screened for microRNA with immune-regulatory functions against M.tb by next generation sequencing of peripheral blood mononuclear cells, followed by validation in an independent cohort.
Results: Twenty three differentially expressed microRNAs were identified between 12 active pulmonary TB patients and 4 healthy subjects, and 35 microRNAs before and after 6-month anti-TB therapy. Enriched predicted target pathways included proteoglycan, HIF-1 signaling, longevity-regulating, central carbon metabolism, and autophagy. We validated miR-431–3p down-regulation and miR-1303 up-regulation
accompanied with corresponding changes in their predicted target genes in an independent validation cohort of 46 active TB patients, 30 latent TB infection subjects, and 24 non-infected healthy subjects. In vitro experiments of transfections with miR-431–3p mimic/miR-1303 short interfering RNA in THP-1 cells under ESAT-6 stimuli showed that miR-431–3p and miR-1303 were capable to augment and suppress autophagy/apoptosis/phagocytosis of macrophage via targeting MDR1/MMP16/RIPOR2 and ATG5, respectively.
Conclusions: This study provides a proof of concept for microRNA-based host-directed immunotherapy for active TB disease. The combined miR-431–3p over-expression and miR-1303 knock-down revealed new vulnerabilities of treatment-refractory TB disease.

Long-term musical training induces white matter plasticity in emotion and language networks

謝仁俊教授研究團隊發表研究成果於Hum Brain Mapp

連結網址:https://pubmed.ncbi.nlm.nih.gov/36005832/

Abstract

Abstract: Numerous studies have reported that long-term musical training can affect brain functionality and induce structural alterations in the brain. Singing is a form of vocal musical expression with an unparalleled capacity for communicating emotion; however, there has been relatively little research on neuroplasticity at the network level in vocalists (i.e., noninstrumental musicians). Our objective in this study was to elucidate changes in the neural network architecture following long-term training in the musical arts. We employed a framework based on graph theory to depict the connectivity and efficiency of structural networks in the brain, based on diffusion-weighted images obtained from 35 vocalists, 27 pianists, and 33 nonmusicians. Our results revealed that musical training (both voice and piano) could enhance connectivity among emotion-related regions of the brain, such as the amygdala. We also discovered that voice training reshaped the architecture of experience-dependent networks, such as those involved in vocal motor control, sensory feedback, and language processing. It appears that vocal-related changes in areas such as the insula, paracentral lobule, supramarginal gyrus, and putamen are associated with functional segregation, multisensory integration, and enhanced network interconnectivity. These results suggest that long-term musical training can strengthen or prune white matter connectivity networks in an experience-dependent manner.

Structural determination of an antibody that specifically recognizes polyethylene glycol with a terminal methoxy group

蘇昱誠助理教授研究團隊發表研究成果於Communications Chemistry

連結網址:https://www.nature.com/articles/s42004-022-00709-0

Abstract

Covalent attachment of methoxy poly(ethylene) glycol (mPEG) to therapeutic molecules is widely employed to improve their systemic circulation time and therapeutic efficacy. mPEG, however, can induce anti-PEG antibodies that negatively impact drug therapeutic effects. However, the underlying mechanism for specific binding of antibodies to mPEG remains unclear. Here, we determined the first co-crystal structure of the humanized 15-2b anti-mPEG antibody in complex with mPEG, which possesses a deep pocket in the antigen-binding site to accommodate the mPEG polymer. Structural and mutational analyses revealed that mPEG binds to h15-2b via Van der Waals and hydrogen bond interactions, whereas the methoxy group of mPEG is stabilized in a hydrophobic environment between the VH:VL interface. Replacement of the heavy chain hydrophobic V37 residue with a neutral polar serine or threonine residue offers additional hydrogen bond interactions with methoxyl and hydroxyl groups, resulting in cross-reactivity to mPEG and OH-PEG. Our findings provide insights into understanding mPEG-binding specificity and antigenicity of anti-mPEG antibodies.

Stomatin modulates adipogenesis through the ERK pathway and regulates fatty acid uptake and lipid droplet growth

林奇宏教授研究團隊發表研究成果於 Nature communications

連結:https://www.nature.com/articles/s41467-022-31825-z

Abstract Regulation of fatty acid uptake, lipid production and storage, and metabolism of lipid droplets (LDs), is closely related to lipid homeostasis, adipocyte hypertrophy and obesity. We report here that stomatin, a major constituent of lipid raft, participates in adipogenesis and adipocyte maturation by modulating related signaling pathways. In adipocyte-like cells, increased stomatin promotes LD growth or enlargements by facilitating LD-LD fusion. It also promotes fatty acid uptake from extracellular environment by recruiting effector molecules, such as FAT/CD36 translocase, to lipid rafts to promote internalization of fatty acids. Stomatin transgenic mice fed with high-fat diet exhibit obesity, insulin resistance and hepatic impairments; however, such phenotypes are not seen in transgenic animals fed with regular diet. Inhibitions of stomatin by gene knockdown or OB-1 inhibit adipogenic differentiation and LD growth through downregulation of PPARγ pathway. Effects of stomatin on PPARγ involves ERK signaling; however, an alternate pathway may also exist.

肝癌術後復發精準預測,榮陽交團隊何信瑩老師發表智慧醫療研發成果

國立陽明交通大學臨床醫學研究所、臺北榮總胃腸肝膽科主任黃怡翔教授所領導的肝癌研究團隊,與陽明交大生物資訊及系統生物研究所何信瑩教授的智慧型計算實驗室共同合作,統整臺北榮總過去十年肝癌手術病例,結合臨床與電腦斷層影像資訊,以演化學習創新研發肝癌手術後復發預測模型,有效提升預測準確度,研究成果已發表於2021年11月國際知名期刊《Liver Cancer》。何信瑩教授與臺北榮總合作建立的「生醫演化學習平台:肝癌診療決策支援系統」也榮獲2021國家新創獎:學研新創獎。

臺北榮總胃腸肝膽科李懿宬醫師指出,肝癌為台灣十大死因第二位,即使接受手術治療,仍有約70%的病人會在五年內復發。過去研究僅使用臨床資料建立手術後復發預測模型,準確度有很大的改善空間。由於人工智慧AI時代的來臨,陽明交大團隊將電腦斷層放射組學(Radiomics)加入分析,建立AI預測模型,大幅提升肝癌手術後復發的預測準確度。對於高復發風險的病人,醫師能加強術後的追蹤,及早偵測腫瘤復發與治療。

何信瑩教授所研發的「智慧型演化學習平台」,以演化學習與深度學習應用於各種資料的數學建模、分析與預測,包含醫學影像、臨床數據、基因表現分析等,可以透過少量資料開發出準確度高的AI模型。這次的研究顯示演化學習產生之預測模型,準確度優於其他常見的機器學習模型,也優於傳統醫學統計分析模型。未來朝向加入病理和基因表現等資訊,有望再持續提升預測準確度。

李懿宬醫師表示,醫療已進入AI輔助的時代,可應用於影像診斷、預後風險分析、決策輔助、醫療資訊管理等面向。臺灣具有AI資訊科技的優勢、普及與高水準的醫療環境,有實力在全世界引領人工智慧醫療。臺北榮總肝癌團隊與陽明交大AI團隊合作,目標在建立肝癌診療決策支援系統,包含各期別肝癌偵測和治療預後模型,期待不久的將來能導入臨床,實際嘉惠醫師與病人。

 

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