TY - JOUR
T1 - High-Throughput Yeast Aging Analysis for Cryptococcus (HYAAC) microfluidic device streamlines aging studies in Cryptococcus neoformans
AU - Orner, Erika P.
AU - Zhang, Pengchao
AU - Jo, Myeong C.
AU - Bhattacharya, Somanon
AU - Qin, Lidong
AU - Fries, Bettina C.
N1 - Funding Information:
This work was supported by Dr. Fries’ Stony Brook University start-up fund, NIH awards R01-AI059681 and T32AI007539, and funding through the Stony Brook Medical Scholars Program. We’d also like to thank Dr. Anne Hamik and Dr. Evgenii Boriushkin for allowing us to use their equipment and all labs that graciously gifted us with all strains used in this study. We would also like to thank the Madhani lab and grant R01AI100272 for providing a number of the knockout strains utilized in this study. Lastly, we would like to thank Stony Brook Medicine Biostatistician, Erin Taub for helping with the statistical analysis.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Cryptococcus neoformans (Cn) is a deadly fungal pathogen responsible for ~ 180,000 deaths per year and despite effective antifungals, treatment failure and resistance to antifungals are increasingly problematic. Aging and age-related phenotypes are prominent virulence traits that contribute to the resilience of Cn to host responses and antifungals. Traditional methods to study aging in Cn are expensive, inefficient and in need of improvement. Here, we demonstrate the development and use of a High-Throughput Yeast Aging Analysis for Cryptococcus (HYAAC) microfluidic device to better study aging and age-associated genes in Cn. Compared to traditional methods, the HYAAC is superior in its efficiency to isolate, manipulate and observe old cells for analysis. It allows for the trapping and tracking of individual cells over the course of their lifespan, allowing for more precise measurements of lifespan, tracking of age-related phenotypes with age, and a more high-throughput ability to investigate genes associated with aging.
AB - Cryptococcus neoformans (Cn) is a deadly fungal pathogen responsible for ~ 180,000 deaths per year and despite effective antifungals, treatment failure and resistance to antifungals are increasingly problematic. Aging and age-related phenotypes are prominent virulence traits that contribute to the resilience of Cn to host responses and antifungals. Traditional methods to study aging in Cn are expensive, inefficient and in need of improvement. Here, we demonstrate the development and use of a High-Throughput Yeast Aging Analysis for Cryptococcus (HYAAC) microfluidic device to better study aging and age-associated genes in Cn. Compared to traditional methods, the HYAAC is superior in its efficiency to isolate, manipulate and observe old cells for analysis. It allows for the trapping and tracking of individual cells over the course of their lifespan, allowing for more precise measurements of lifespan, tracking of age-related phenotypes with age, and a more high-throughput ability to investigate genes associated with aging.
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U2 - 10.1038/s42003-019-0504-5
DO - 10.1038/s42003-019-0504-5
M3 - Article
C2 - 31312725
AN - SCOPUS:85071158433
SN - 2399-3642
VL - 2
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 256
ER -