Browsing by Subject "Cell count"

Now showing 1 - 2 of 2
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    The chromatin landscape of healthy and injured cell types in the human kidney
    (Springer Nature, 2024-01-10) Gisch, Debora L.; Brennan, Michelle; Lake, Blue B.; Basta, Jeannine; Keller, Mark S.; Ferreira, Ricardo Melo; Akilesh, Shreeram; Ghag, Reetika; Lu, Charles; Cheng, Ying-Hua; Collins, Kimberly S.; Parikh, Samir V.; Rovin, Brad H.; Robbins, Lynn; Stout, Lisa; Conklin, Kimberly Y.; Diep, Dinh; Zhang, Bo; Knoten, Amanda; Barwinska, Daria; Asghari, Mahla; Sabo, Angela R.; Ferkowicz, Michael J.; Sutton, Timothy A.; Kelly, Katherine J.; De Boer, Ian H.; Rosas, Sylvia E.; Kiryluk, Krzysztof; Hodgin, Jeffrey B.; Alakwaa, Fadhl; Winfree, Seth; Jefferson, Nichole; Türkmen, Aydın; Gaut, Joseph P.; Gehlenborg, Nils; Phillips, Carrie L.; El-Achkar, Tarek M.; Dagher, Pierre C.; Hato, Takashi; Zhang, Kun; Himmelfarb, Jonathan; Kretzler, Matthias; Mollah, Shamim; Kidney Precision Medicine Project (KPMP); Jain, Sanjay; Rauchman, Michael; Eadon, Michael T.; Medicine, School of Medicine
    There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. Comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measure dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We establish a spatially-anchored epigenomic atlas to define the kidney's active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we note distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of ELF3, KLF6, and KLF10 regulates the transition between health and injury, while in thick ascending limb cells this transition is regulated by NR2F1. Further, combined perturbation of ELF3, KLF6, and KLF10 distinguishes two adaptive proximal tubular cell subtypes, one of which manifested a repair trajectory after knockout. This atlas will serve as a foundation to facilitate targeted cell-specific therapeutics by reprogramming gene regulatory networks.
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    Titer estimation for quality control (TEQC) method: A practical approach for optimal production of protein complexes using the baculovirus expression vector system
    (Public Library of Science, 2018-04-03) Imasaki, Tsuyoshi; Wenzel, Sabine; Yamada, Kentaro; Bryant, Megan L.; Takagi, Yuichiro; Biochemistry and Molecular Biology, School of Medicine
    The baculovirus expression vector system (BEVS) is becoming the method of choice for expression of many eukaryotic proteins and protein complexes for biochemical, structural and pharmaceutical studies. Significant technological advancement has made generation of recombinant baculoviruses easy, efficient and user-friendly. However, there is a tremendous variability in the amount of proteins made using the BEVS, including different batches of virus made to express the same proteins. Yet, what influences the overall production of proteins or protein complexes remains largely unclear. Many downstream applications, particularly protein structure determination, require purification of large quantities of proteins in a repetitive manner, calling for a reliable experimental set-up to obtain proteins or protein complexes of interest consistently. During our investigation of optimizing the expression of the Mediator Head module, we discovered that the 'initial infectivity' was an excellent indicator of overall production of protein complexes. Further, we show that this initial infectivity can be mathematically described as a function of multiplicity of infection (MOI), correlating recombinant protein yield and virus titer. All these findings led us to develop the Titer Estimation for Quality Control (TEQC) method, which enables researchers to estimate initial infectivity, titer/MOI values in a simple and affordable way, and to use these values to quantitatively optimize protein expressions utilizing BEVS in a highly reproducible fashion.