Due to an increase in the consumption of food, feed, fuel and to meet global food security needs for the rapidly growing human population, there is a necessity to breed high yielding crops that can adapt to the future climate changes, particularly in developing countries. To solve these global challenges, novel approaches are required to identify quantitative phenotypes and to explain the genetic basis of agriculturally important traits. These advances will facilitate the screening of germplasm with high performance characteristics in resource-limited environments. Recently, plant phenomics has offered and integrated a suite of new technologies, and we are on a path to improve the description of complex plant phenotypes. High-throughput phenotyping platforms have also been developed that capture phenotype data from plants in a non-destructive manner. In this review, we discuss recent developments of high-throughput plant phenotyping infrastructure including imaging techniques and corresponding principles for phenotype data analysis.
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http://dx.doi.org/10.3389/fpls.2015.00619 | DOI Listing |
PLoS One
January 2025
King's College London-Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Major depressive disorder (MDD) is defined by an array of symptoms that make it challenging to understand the condition at a population level. Subtyping offers a way to unpick this phenotypic diversity for improved disorder characterisation. We aimed to identify depression subtypes longitudinally using the Inventory of Depressive Symptomatology: Self-Report (IDS-SR).
View Article and Find Full Text PDFJCI Insight
January 2025
Department of Biomedical Engineering, Oregon Health and Science University, Portland, United States of America.
Spatial profiling of tissues promises to elucidate tumor-microenvironment interactions and generate prognostic and predictive biomarkers. We analyzed single-cell, spatial data from three multiplex imaging technologies: cyclic immunofluorescence (CycIF) data we generated from 102 breast cancer patients with clinical follow-up, and publicly available imaging mass cytometry and multiplex ion-beam imaging datasets. Similar single-cell phenotyping results across imaging platforms enabled combined analysis of epithelial phenotypes to delineate prognostic subtypes among estrogen-receptor positive (ER+) patients.
View Article and Find Full Text PDFClin Exp Rheumatol
January 2025
Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Objectives: The purpose of the present study was to investigate the differential impact of disease activity and severity on functional status and patient satisfaction in rheumatoid arthritis (RA) using cluster analysis on data from the FRANK registry.
Methods: Data from 3,619 RA patients in the FRANK registry were analysed. Patients were grouped using hierarchical and k-means cluster analyses based on age, physician's global assessment (PhGA), patient's pain assessment (PtPA), and Steinbrocker stage.
Eur Geriatr Med
January 2025
Federal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226.
Introduction: The European Working Group on Sarcopenia in Older People (EWGSOP2) defines sarcopenia as a muscle disease (muscle failure) rooted in adverse muscle changes that accrue across a lifetime; sarcopenia is common among adults of older age. New findings on the hormonal and metabolic characteristics of patients with sarcopenia have aided in developing more targeted therapeutic strategies. However, treating older patients with sarcopenia still poses a number of challenges.
View Article and Find Full Text PDFBackground: Group B streptococcus (GBS) causes neonatal invasive disease, mainly sepsis and meningitis. Understanding the clinical characteristics, laboratory tests, and antibiotic resistance patterns of GBS invasive infections provides reliable epidemiological data for preventing and treating GBS infections.
Methods: Clinical characteristics and laboratory test results from 86 patients with neonatal invasive disease (45 cases of early-onset disease [EOD] and 41 cases of late-onset disease [LOD]) recruited from Fujian Maternity and Child Health Hospital between January 2012 and December 2021 were analyzed.
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