Biomedical subjects

Hong-Yuan Tsai

Publications and source records attributed to Hong-Yuan Tsai.

2 recordsLinked to original sources

PubMed2025

SLB-msSIM: A Spectral Library-Based Multiplex Segmented SIM Platform for Single-Cell Proteomic Analysis.

Mass spectrometry (MS)-based single-cell proteomics, while highly challenging, offers unique potential for a wide range of applications to interrogate cellular heterogeneity, trajectories, and phenotypes at a functional level. We report here the development of the spectral library-based multiplex segmented selected ion monitoring (SLB-msSIM) method, a conceptually unique approach with significantly enhanced sensitivity and robustness for single-cell analysis. The single-cell MS data is acquired by a multiplex segmented selected ion monitoring (msSIM) technique, which sequentially applies multiple isolation cycles with the quadrupole using a wide isolation window in each cycle to accumulate and store precursor ions in the C-trap for a single scan in the Orbitrap. Proteomic identification is achieved through spectral matching using a well-defined spectral library. We applied the SLB-msSIM method to interrogate cellular heterogeneity in various pancreatic cancer cell lines, revealing common and distinct functional traits among PANC-1, MIA-PaCa2, AsPc-1, HPAF, and normal HPDE cells. Furthermore, for the first time, our novel data revealed the diverse cell trajectories of individual PANC-1 cells during the induction and reversal of epithelial-mesenchymal transition (EMT). Collectively, our results demonstrate that SLB-msSIM is a highly sensitive and robust platform, applicable to a wide range of instruments for single-cell proteomic studies. SUMMARY: We present the SLB-msSIM method, a conceptually unique approach in mass spectrometry-based single-cell proteomics that significantly enhances sensitivity and robustness. This innovative platform enables detailed analysis of the proteome landscape, capturing cellular heterogeneity, trajectories, and phenotypes at a single-cell resolution. Utilizing the SLB-msSIM technique, we identified both common and distinct functional traits among various pancreatic cancer cell lines and normal cells. Moreover, our study unveiled new insights into the diverse cell trajectories of individual cancer cells during the induction and reversal of epithelial-mesenchymal transition (EMT). In summary, the SLB-msSIM method offers a highly sensitive and robust platform for single-cell proteomic studies, with broad applicability across different instruments.

Single-Cell Analysis↗

PubMed2005

Estrogen receptor beta is not increasingly expressed in leiomyoma nodules which show no progressive enlargement in premenopausal women.

BACKGROUND AND PURPOSE: Studies on the expression of estrogen receptors (ERs) in uterine leiomyomata have yielded conflicting results. A controlled study focusing on leiomyomal nodules with same clinical presentations and hormonal milieu was conducted to investigate the role of ER beta (ERbeta) on leiomyomal growth. METHODS: Thirty pairs of leiomyomal and myometrial tissues were included in the study. The specimens were obtained from 30 premenopausal women (40-45 years old) with parity 2, and were sampled during the proliferative menstrual phase. All of the leiomyomal nodules were unifocal, medium sized (4-5 cm), intramurally located, and without progressive enlargement for 6 months. The expressions of ERbeta mRNA and protein in leiomyomata and their adjacent myometria were analyzed by reverse transcriptase-polymerase chain reaction and immunohistochemistry using ERbeta-specific antibody, respectively. ER alpha (ERalpha) was simultaneously studied using similar methods. The results were digitally quantified and compared with each other. RESULTS: All paired tissues (30/30, 100%) showed a higher ERalpha expression level (paired t test, p < 0.05). In most leiomyomal nodules (27/30, 90%), both ERbeta and ERalpha exhibited no differences in mRNA levels compared to their adjacent myometria (p > 0.05), but the ratio of ERbeta/ERalpha (expression index) was lower (p < 0.05) in leiomyomal tissue. Although the immunoreactivity scores for ERbeta were similar in paired tissues, more ERbeta-positive cells were detected in myometrial specimens than in their leiomyoma counterparts (mean of 62% vs 56%). Furthermore, the distribution pattern of ERbeta in leiomyoma (nuclear and cytoplasmic) was different from that in the corresponding myometrium (nuclear). The lower ERbeta/ERalpha expression index in stationary leiomyoma suggests that the relative abundance of ERbeta and ERalpha, rather than their individual amounts, determines the existence and development of leiomyoma. CONCLUSIONS: This study demonstrated that in premenopausal women, ERbeta is not increasingly expressed in the leiomyomal nodules which show no progressive enlargement. The distinctive ERbeta-to-ERalpha ratio rather than their individual amounts, is associated with the stationary status of the leiomyomal nodule.

Adult↗