Measuring the properties of endogenous cell proteins, such as expression level, subcellular localization, and turnover rates, on a whole proteome level remains a major challenge in the postgenome era. Quantitative methods for measuring mRNA expression do not reliably predict corresponding protein levels and provide little or no information on other protein properties. Here we describe a combined pulse-labeling, spatial proteomics and data analysis strategy to characterize the expression, localization, synthesis, degradation, and turnover rates of endogenously expressed, untagged human proteins in different subcellular compartments. Using quantitative mass spectrometry and stable isotope labeling with amino acids in cell culture, a total of 80,098 peptides from 8,041 HeLa proteins were quantified, and their spatial distribution between the cytoplasm, nucleus and nucleolus determined and visualized using specialized software tools developed in PepTracker. Using information from ion intensities and rates of change in isotope ratios, protein abundance levels and protein synthesis, degradation and turnover rates were calculated for the whole cell and for the respective cytoplasmic, nuclear, and nucleolar compartments. Expression levels of endogenous HeLa proteins varied by up to seven orders of magnitude. The average turnover rate for HeLa proteins was ~20 h. Turnover rate did not correlate with either molecular weight or net charge, but did correlate with abundance, with highly abundant proteins showing longer than average half-lives. Fast turnover proteins had overall a higher frequency of PEST motifs than slow turnover proteins but no general correlation was observed between amino or carboxyl terminal amino acid identities and turnover rates. A subset of proteins was identified that exist in pools with different turnover rates depending on their subcellular localization. This strongly correlated with subunits of large, multiprotein complexes, suggesting a general mechanism whereby their assembly is controlled in a different subcellular location to their main site of function.
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http://dx.doi.org/10.1074/mcp.M111.011429 | DOI Listing |
Anal Chem
January 2025
Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara 06230, Turkey.
Metabolite levels and turnover rates are necessary to understand metabolomic dynamics in a living organism fully. Amino acids can play distinct roles in various cellular processes, and their abnormal levels are associated with pathological conditions, including cancer. Therefore, their levels, especially turnover rates, may provide enormous information about a phenotype.
View Article and Find Full Text PDFJ Nurs Adm
February 2025
Author Affiliations: Nurse Scientist (Dr Smith-Miller), Center for Nursing Excellence, UNC Medical Center; Chair - IRB Committee E (Dr Smith-Miller), UNC-CH Office of Human Research Ethics University of North Carolina, Chapel Hill; Adjunct Faculty (Dr Smith-Miller), UNC School of Nursing; and Oncology Nurse Navigator (Cline), Mary Anne Long Patient Family Resource Center, UNC Cancer Hospital, Chapel Hill, North Carolina.
Background: Persistently high turnover rates reflect nurses' discontent. Although personal reasons, career advancement, and relocation are cited as the top reasons for departures, macro-level data overlook the organizational and unit-level factors that erode nurses' desire to stay.
Methods: Survey methods were used for data collection.
Front Med (Lausanne)
January 2025
College of Nursing, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea.
Objectives: High nurse turnover during nursing shortages can contribute to missed nursing care. This study investigated the prevalence of missed nursing care and how nurse turnover affects missed nursing care.
Methods: A cross-sectional design was adopted to collect data from a convenience sample of nurses working in general hospitals in South Korea.
Glob Chang Biol
January 2025
Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Goettingen, Göttingen, Germany.
Carbon use efficiency (CUE) of microbial communities in soil quantifies the proportion of organic carbon (C) taken up by microorganisms that is allocated to growing microbial biomass as well as used for reparation of cell components. This C amount in microbial biomass is subsequently involved in microbial turnover, partly leading to microbial necromass formation, which can be further stabilized in soil. To unravel the underlying regulatory factors and spatial patterns of CUE on a large scale and across biomes (forests, grasslands, croplands), we evaluated 670 individual CUE data obtained by three commonly used approaches: (i) tracing of a substrate C by C (or C) incorporation into microbial biomass and respired CO (hereafter C-substrate), (ii) incorporation of O from water into DNA (O-water), and (iii) stoichiometric modelling based on the activities of enzymes responsible for C and nitrogen (N) cycles.
View Article and Find Full Text PDFDiscov Ment Health
January 2025
School of Allied Health Sciences, VIMS Hospital Campus, Vinayaka Mission's Research Foundation - Deemed to be University, Salem, Tamil Nadu, India.
Loneliness and Social Isolation (SI) has evolved into an epidemic and WHO has alarmed many developed and developing countries that their citizens are going through the epidemic of loneliness and SI. It affects the Mental Health status of a person & leads to morbidities and premature death. Loneliness and SI are overlooked subjects resulting in poor research turnover.
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