Biology subjects

Campillo, M.

Publications and source records attributed to Campillo, M..

3 recordsLinked to original sources

bioRxiv2026

Sex difference in rat ventilatory response and pulmonary vascular resistance

The aim of this study was to investigate possible sex difference in rat ventilation and pulmonary vascular resistance. Experiments were done on 8 week-old 7 Wistar female and 7 male rats. Under anesthesia, the trachea was connected to a spirometer for measurement of the respiration rate (RR) and, normalized to weight, the tidal volume (Vt) and minute ventilation (VE). Responses to hypoxia/hypercapnia and hypoxia/normocapnia were tested by 1 min respiration in a 20 mL-closed circuit without and with CO2 trapping. After euthanasia, blood was collected for hematocrit, the pulmonary circulation was perfused on isolated lungs by a physiological solution at 10-40 mmHg pressure to determine the pressure-resistance curve, and the Fulton ratio (right ventricle/left ventricle+Septum weight ratio) was calculated. Data were compared by Mann-Whitney test and, for pressure-resistance curves, by non linear regression and F test. Female weight (226{+/-}9.6g) was significantly lower than males ones (356{+/-}11.7g). In normoxia/normocapnia, RR was 57{+/-}4.0 and 59{+/-}4.2 min-1, Vt/weight was 1.6{+/-}0.2 and 1.5{+/-}0.2 mL.100g-1, and VE/weight was 89{+/-}11 and 90{+/-}16 mL. min-1.100g-1 in female and male rats. Acute hypoxia/hypercapnia and hypoxia/normocapnia significantly increased ventilation. Whatever the conditions, no sex difference were found. Total pulmonary vascular resistance curve was significantly higher in males, whereas the Fulton ratio was similar in females (0.29{+/-}0.02) and males (0.28{+/-}0.03), as was the hematocrit. In conclusion, no sex difference was identified in the ventilatory response of rats. By contrast, pulmonary vascular resistance was significantly higher in males, without right ventricular hypertrophy.

physiology↗

bioRxiv2020

The mutational landscape of human olfactory G protein-coupled receptors

Olfactory receptors (ORs) constitute a large family of sensory proteins that enable us to recognize a wide range of chemical volatiles in the environment. By contrast to the extensive information about human olfactory thresholds for thousands of odorants, studies of the genetic influence on olfaction are limited to a few examples. Here, we analyzed a compendium of 118,057 natural variants in human ORs collected from the public domain. OR mutations were categorized depending on their genomic and protein contexts, as well as their frequency of occurrence in several human populations. Functional interpretation of the natural changes was estimated from the increasing knowledge of the structure and function of the G protein-coupled receptor (GPCR) family, to which ORs belong. Our analysis reveals an extraordinary diversity of natural variations in the olfactory gene repertoire between individuals and populations, with a significant number of changes occurring at structural conserved regions. A particular attention is paid to mutations in positions linked to the conserved GPCR activation mechanism that could imply phenotypic variation in the olfactory perception. An interactive web application (available at http://lmc.uab.cat/hORMdb) was developed for the management and visualization of this mutational dataset.

bioinformatics↗

bioRxiv2020

TMSNP: a web server to predict pathogenesis of missense mutations in transmembrane region of membrane proteins

The massive amount of data generated from genome sequencing have given rise to several mutation predictor tools although no mutation database or predictor tool have been developed specifically for the transmembrane region of membrane proteins. We present TMSNP, a database that currently contains information from 2624 pathogenic and 195964 non-pathogenic reported mutations located on the TM region of membrane proteins. The computed conservation parameters and annotations on these mutations were used to train a machine-learning model that classifies TM mutations as pathogenic or non-pathogenic. The presented tool improves considerably the prediction power of commonly used mutation predictors and additionally represents the first mutation prediction tool specific for TM mutations. TMSNP is available at http://lmc.uab.es/tmsnp/ Contactmireia.olivella@esci.upf.edu

bioinformatics↗