Human red blood cells release microvesicles with distinct sizes and protein composition that alter neutrophil phagocytosis.

Extracellular vesicles (EVs) are membrane-bound structures released by cells and tissues into biofluids, involved in cell-cell communication. In humans, circulating red blood cells (RBCs), represent the most common cell-type in the body, generating daily large numbers of microvesicles. RBC vesiculation can be mimicked by stimulating RBCs with calcium ionophores, such as ionomycin and A23187.

Detailed bladder cancer immunoprofiling reveals new clues for immunotherapeutic strategies.

Objectives: Bladder cancer (BlCa) is the tenth most frequent malignancy worldwide and the costliest to treat and monitor. Muscle-invasive BlCa (MIBC) has a dismal prognosis, entailing the need for alternative therapies for the standard radical cystectomy. Checkpoint blockade immunotherapy has been approved for high-grade non-muscle-invasive BlCa (HG NMIBC) and metastatic disease, but its effectiveness in localised MIBC remains under scrutiny.

ICOS-Positive Regulatory T Cells in Hepatocellular Carcinoma: The Perspective from Digital Pathology Analysis.

Introduction: Inducible co-stimulator (ICOS), an important co-stimulatory receptor on effector T cells (Teffs), may also contribute to tumor growth due to its high expression on regulatory T cells (Tregs). This study explored the clinical significance of ICOS-expressing Tregs in hepatocellular carcinoma (HCC).

Methods: Tumor tissues from HCC patients who received curative hepatectomy were obtained at a referral center.

Effects of endurance racing on horse plasma extracellular particle miRNA.

Background: Physical exercise is an essential factor in preventing and treating metabolic diseases by promoting systemic benefits throughout the body. The molecular factors involved in this process are poorly understood. Micro RNAs (miRNAs) are small non-coding RNAs that inhibit mRNA transcription.

: A Bespoke Cloud-Based Interface for RNA-seq Differential Expression Modeling and Analysis.

One of the key challenges for transcriptomics-based research is not only the processing of large data but also modeling the complexity of features that are sources of variation across samples, which is required for an accurate statistical analysis. Therefore, our goal is to foster access for wet lab researchers to bioinformatics tools, in order to enhance their ability to explore biological aspects and validate hypotheses with robust analysis. In this context, user-friendly interfaces can enable researchers to apply computational biology methods without requiring bioinformatics expertise.