Results 71 to 80 of about 1,877,814 (364)
FEBS Letters, EarlyView.The protonated form of butyrate, as well as other short‐chain fatty acids (SCFAs), is membrane permeable. In acidic extracellular environments, this can lead to intracellular accumulation of SCFAs and cytosolic acidification. This phenomenon will be particularly relevant in acidic environments such as the large intestine or tumor microenvironments ...
Muwei Jiang +2 more
wiley +1 more source
White blood cells and coronary heart disease: A mendelian randomization study
Frontiers in Genetics, 2023 Background: The causal direction and magnitude of the associations between blood cell count and coronary heart disease (CHD) remain uncertain due to susceptibility of reverse causation and confounding.
Qiuping Zhao +5 more
doaj +1 more source
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting [PDF]
arXiv, 2023 Multi-class cell detection and counting is an essential task for many pathological diagnoses. Manual counting is tedious and often leads to inter-observer variations among pathologists. While there exist multiple, general-purpose, deep learning-based object detection and counting methods, they may not readily transfer to detecting and counting cells in
arxiv
A Guided Spatial Transformer Network for Histology Cell Differentiation [PDF]
EG VCBM 2017 Proceedings, 2017 Identification and counting of cells and mitotic figures is a standard task in diagnostic histopathology. Due to the large overall cell count on histological slides and the potential sparse prevalence of some relevant cell types or mitotic figures, retrieving annotation data for sufficient statistics is a tedious task and prone to a significant error ...
arxiv +1 more source
Using microelectrode models for real time cell-culture monitoring [PDF]
, 2011 This paper proposes a cell-microelectrode model for cell biometry applications, based on the area overlap as main parameter. The model can be applied to cell size identification, cell count, and their extension to cell growth and dosimetry protocols ...
Cañete, Daniel +2 more
core
Models to Estimate Lactation Curves of Milk Yield and Somatic Cell Count in Dairy Cows at the Herd Level for the Use in Simulations and Predictive Models [PDF]
, 2016 Typically, central milk recording data from dairy herds are recorded less than monthly. Over-fitting early in lactation periods is a challenge, which we explored in different ways by reducing the number of parameters needed to describe the milk yield and
Carsten Kirkeby +6 more
core +3 more sources
Brucella NyxA and NyxB dimerization enhances effector function during infection
FEBS Letters, EarlyView.Brucella abortus thrives inside cells thanks to the translocation of effector proteins that fine‐tune cellular functions. NyxA and NyxB are two effectors that destabilize the nucleolar localization of their host target, SENP3. We show that the Nyx proteins directly interact with each other and that their dimerization is essential for their function ...
Lison Cancade‐Veyre +4 more
wiley +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data [PDF]
, 2019 The advent of single-cell sequencing opens new avenues for personalized treatment. In this paper, we address a two-level clustering problem of simultaneous subject subgroup discovery (subject level) and cell type detection (cell level) for single-cell expression data from multiple subjects.
arxiv +1 more source
Negative binomial count splitting for single-cell RNA sequencing data [PDF]
arXiv, 2023 The analysis of single-cell RNA sequencing (scRNA-seq) data often involves fitting a latent variable model to learn a low-dimensional representation for the cells. Validating such a model poses a major challenge. If we could sequence the same set of cells twice, we could use one dataset to fit a latent variable model and the other to validate it.
arxiv