In MS-based quantitative proteomics, the FDR control (i.e. the limitation of the number of proteins that are wrongly claimed as differentially abundant between several conditions) is a major postanalysis step. It is classically achieved thanks to a specific statistical procedure that computes the adjusted p-values of the putative differentially abundant proteins. Unfortunately, such adjustment is conservative only if the p-values are well-calibrated; the false discovery control being spuriously underestimated otherwise. However, well-calibration is a property that can be violated in some practical cases. To overcome this limitation, we propose a graphical method to straightforwardly and visually assess the p-value well-calibration, as well as the R codes to embed it in any pipeline. All MS data have been deposited in the ProteomeXchange with identifier PXD002370 (http://proteomecentral.proteomexchange.org/dataset/PXD002370).
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http://dx.doi.org/10.1002/pmic.201500189 | DOI Listing |
BMC Pediatr
January 2025
Department of Pathology, Anhui Provincial Children's Hospital, 39 Wangjiang East Road, Hefei, Anhui, 230051, China.
Objective: This study aims to explore the genetic characteristics of pediatric sepsis through a combined analysis of multiple methods, including Mendelian Randomization (MR), differential gene expression analysis, and immune cell infiltration assessment. It explores their potential as biomarkers for sepsis risk and their involvement in immune-related pathways.
Methods: Differential expression analysis was performed using public datasets to identify genes with significant expression changes between pediatric sepsis patients and healthy controls.
Med Image Comput Comput Assist Interv
October 2024
Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA.
Delineating the normative developmental profile of functional connectome is important for both standardized assessment of individual growth and early detection of diseases. However, functional connectome has been mostly studied using functional connectivity (FC), where undirected connectivity strengths are estimated from statistical correlation of resting-state functional MRI (rs-fMRI) signals. To address this limitation, we applied regression dynamic causal modeling (rDCM) to delineate the developmental trajectories of effective connectivity (EC), the directed causal influence among neuronal populations, in whole-brain networks from infancy to adolescence (0-22 years old) based on high-quality rs-fMRI data from Baby Connectome Project (BCP) and Human Connectome Project Development (HCP-D).
View Article and Find Full Text PDFPsychiatry Res
January 2025
Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Burwood, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia. Electronic address:
Unlabelled: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition, though symptoms vary both within and between people in the population. We aimed to investigate trajectories of individual biological aging through the change in residuals of DNA methylation age estimates (EpiAge) regressed on chronological age (EpiAge Gap) in children and adolescents with and without ADHD.
Methods: Three well-established epigenetic clocks (PedBE, Horvath, and Skin & blood) were used to estimate EpiAge in 293 saliva samples from 169 participants (91 with ADHD symptoms) from the Neuroimaging of the Children's Attention Project (NICAP).
World Allergy Organ J
January 2025
Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510006, Guangdong, PR China.
Background: Many studies reported the influence of infants' gut microbiota on atopic dermatitis (AD) postnatally, yet the role of maternal gut microbiota and plasma metabolites in infants' AD remains largely unexplored.
Methods: Sixty-three pregnant mother-infants were enrolled and followed after childbirth in Guangzhou, China. Demographic information, maternal stool and plasma samples, and records for infants' AD were collected.
Thromb J
January 2025
Department of Vascular Surgery, Huadong Hospital, Fudan University, Shanghai, 200040, China.
Background: Venous thromboembolism (VTE) is a common vascular disease with a significant global burden, influenced by multiple factors, such as genetic, environmental, and immune components. Immune responses and shifts in immune cell profiles are closely linked to the development and progression of VTE, yet current studies are limited by confounding factors and reverse causation. To address these limitations, this study uses Mendelian randomization to explore the causal relationship between immune cell traits and VTE, aiming to provide insights into underlying mechanisms.
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