Catalan Institution

1 month ago | link.springer.com | Camila Peres |Catalan Institution

AbstractOxidative stress, a source of genotoxic damage, is often the underlying mechanism in many functional cell disorders. Extracellular vesicles (EVs) have been shown to be key regulators of cellular processes and may be involved in maintaining cellular redox balance. Herein, we aimed to develop a method to assess the effects of EVs on DNA oxidation using porcine seminal plasma extracellular vesicles (sEVs).

Nov 7, 2024 | bmcgenomics.biomedcentral.com | Catalan Institution

We sequenced seven strains of N. bracarensis identified as CBM1 to CBM7 using short read technology (Table 3) [5, 22, 43]. Strains were stored in 50% glycerol at -80 C. Culturing of the strains involved plating a smear of biomass on YPD agar plates and incubating for 2 days at 30 ºC. Single colonies were then placed on 15 ml liquid YPD and incubated shaking at 30 ºC overnight. Genomic DNA was extracted with MasterPureYeast DNA extraction kit (Epicentre, Cat.

Oct 11, 2024 | jasbsci.biomedcentral.com | Catalan Institution

Unless otherwise stated, all reagents were purchased from Sigma-Aldrich (Saint-Louis, MO, USA). Twelve ejaculates coming from different sexually mature (1.5 to 2 years) bulls from 2 different breeds, 7 Holstein bulls and 5 Asturiana de los Valles bulls, were used. Semen volume obtained per ejaculate was 7.91 ± 2.54 mL and sperm concentration was 1,256.08 × 106 ± 318.20 × 106 sperm/mL.

Sep 17, 2024 | rb.gy | Catalan Institution

Every experimental biologist has experienced it: the insufferable phenotypic variability in a presumably genetically homogeneous population of cells. Whether it is microscopy, flow cytometry or, more recently, single-cell RNA sequencing data, there is always a spread. After carefully eliminating confounders — such as measurement noise, cell size and environmental variables — what is left is a puzzle. Where does this variability come from?

Sep 17, 2024 | shorturl.at | Catalan Institution

Every experimental biologist has experienced it: the insufferable phenotypic variability in a presumably genetically homogeneous population of cells. Whether it is microscopy, flow cytometry or, more recently, single-cell RNA sequencing data, there is always a spread. After carefully eliminating confounders — such as measurement noise, cell size and environmental variables — what is left is a puzzle. Where does this variability come from?