4.3 Article

Optimization of yeast cell cycle analysis and morphological characterization by multispectral imaging flow cytometry

期刊

CYTOMETRY PART A
卷 73A, 期 9, 页码 825-833

出版社

WILEY
DOI: 10.1002/cyto.a.20609

关键词

budding yeast; cell cycle; MIFC; multipectral imaging flow cytometry; Nap1

资金

  1. NIH [R01 GM65385]

向作者/读者索取更多资源

Budding yeast Saccharoymyces cerevisiae is a powerful model system for analyzing eukaryotic cell cycle regulation. Yeast cell cycle analysis is typically performed by visual analysis or flow cytometry, and both have limitations in the scope and accuracy of data obtained. This study demonstrates how multispectral imaging flow cytometry (MIFC) provides precise quantitation of cell cycle distribution and morphological phenotypes of yeast cells in flow. Cell cycle analysis of wild-type yeast, nap1 Delta, and yeast overexpressing NAP1, was performed visually, by flow cytometry and by MIFC. Quantitative morphological analysis employed measurements of cellular length, thickness, and aspect ratio in an algorithm to calculate a novel feature, bud length. MITC demonstrated reliable quantification of the yeast cell cycle compared to morphological and flow cytometric analyses. By employing this technique, we observed both the G2/M delay and elongated buds previously described in the nap1 Delta strain. Using MIFC, we demonstrate that overexpression of NAP1 causes elongated buds yet only a minor disruption in the cell cycle. The different effects of NAP1 expression level on cell cycle and morphology suggests that these phenotypes are independent. Unlike conventional yeast flow cytometry, MIFC generates complete cell cycle profiles and concurrently offers multiple parameters for morphological analysis. (C) 2008 International Society for Advancement of Cytometry.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Biochemical Research Methods

Analytical Challenges of Extracellular Vesicle Detection: A Comparison of Different Techniques

Uta Erdbruegger, Joanne Lannigan

CYTOMETRY PART A (2016)

Article Biochemical Research Methods

Does FACS Perturb Gene Expression?

Graham M. Richardson, Joanne Lannigan, Ian G. Macara

CYTOMETRY PART A (2015)

Article Biochemical Research Methods

An improved method for differentiating cell-bound from internalized particles by imaging flow cytometry

Asya Smirnov, Michael D. Solga, Joanne Lannigan, Alison K. Criss

JOURNAL OF IMMUNOLOGICAL METHODS (2015)

Article Biochemical Research Methods

International Society for Advancement of Cytometry (ISAC) Flow Cytometry Shared Resource Laboratory (SRL) Best Practices

Lora W. Barsky, Michele Black, Matthew Cochran, Benjamin J. Daniel, Derek Davies, Monica DeLay, Rui Gardner, Michael Gregory, Desiree Kunkel, Joanne Lannigan, James Marvin, Robert Salomon, Carina Torres, Rachael Walker

CYTOMETRY PART A (2016)

Article Biochemical Research Methods

High-Throughput Detection and Quantification of Mitochondrial Fusion Through Imaging Flow Cytometry

Aldo Nascimento, Joanne Lannigan, David Kashatus

CYTOMETRY PART A (2016)

Editorial Material Biochemical Research Methods

Measurement of Extracellular Vesicles and Other Submicron Size Particles by Flow Cytometry

Joanne Lannigan, John P. Nolan, Robert Zucker

CYTOMETRY PART A (2016)

Article Biochemical Research Methods

Imaging flow cytometry for the characterization of extracellular vesicles

Joanne Lannigan, Uta Erdbruegger

METHODS (2017)

Article Biochemistry & Molecular Biology

Histone hypoacetylation-activated genes are repressed by acetyl-CoA- and chromatin-mediated mechanism

Swati Mehrotra, Luciano Galdieri, Tiantian Zhang, Man Zhang, Lucy F. Pemberton, Ales Vancura

BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS (2014)

Article Mathematical & Computational Biology

Systems analysis of the transcriptional response of human ileocecal epithelial cells to Clostridium difficile toxins and effects on cell cycle control

Kevin M. D'Auria, Gina M. Donato, Mary C. Gray, Glynis L. Kolling, Cirle A. Warren, Lauren M. Cave, Michael D. Solga, Joanne A. Lannigan, Jason A. Papin, Erik L. Hewlett

BMC SYSTEMS BIOLOGY (2012)

Article Biochemical Research Methods

Optimized protocol for the isolation of spleen-resident murine neutrophils

Christine M. Coquery, William Loo, Maja Buszko, Joanne Lannigan, Loren D. Erickson

CYTOMETRY PART A (2012)

Article Biochemical Research Methods

Imaging Flow Cytometry Elucidates Limitations of Microparticle Analysis by Conventional Flow Cytometry

Uta Erdbruegger, Christine K. Rudy, Mark E. Etter, Kelly A. Dryden, Mark Yeager, Alexander L. Klibanov, Joanne Lannigan

CYTOMETRY PART A (2014)

Article Biochemistry & Molecular Biology

Histone Chaperones Nap1 and Vps75 Regulate Histone Acetylation during Transcription Elongation

Yu-Ming Xue, Anna K. Kowalska, Kamila Grabowska, Katarzyna Przybyt, Magda A. Cichewicz, Brian C. Del Rosario, Lucy F. Pemberton

MOLECULAR AND CELLULAR BIOLOGY (2013)

Article Biology

Unsupervised machine learning reveals key immune cell subsets in COVID-19 rhinovirus infection, and cancer therapy

Sierra M. Barone, Alberta G. A. Paul, Lyndsey M. Muehling, Joanne A. Lannigan, William W. Kwok, Ronald B. Turner, Judith A. Woodfolk, Jonathan M. Irish

Summary: T-REX is a machine learning workflow designed to identify changes in rare and common cells in human immune monitoring settings. It successfully identified hotspots of virus-specific T cells during rhinovirus and SARS-CoV-2 infections.
Article Biochemical Research Methods

Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison

Maria C. Jaimes, Michael Leipold, Geoffrey Kraker, El-ad Amir, Holden Maecker, Joanne Lannigan

Summary: High-dimensional single-cell data is crucial in understanding the complexity of the immune system. The introduction of full spectrum flow cytometry has overcome the limitations of previous technologies. By comparing two platforms (mass cytometry and full spectrum flow cytometry), this study demonstrates their highly comparable results.

CYTOMETRY PART A (2022)

暂无数据