6 research outputs found
Application of near infrared spectroscopy (NIR), X-ray fluorescence (XRF) and chemometrics to the differentiation of <i>marmora</i> samples from the Mediterranean basin
<p>Near-infrared (NIR) and X-ray fluorescence spectra were recorded for 15 different samples of <i>marmora,</i> from the Mediterranean Basin and of different colours. After appropriate pretreatment (SNV transform + second derivative), the results were subjected to principal component analysis (PCA) treatment with a view to differentiating them. The observed differences among the samples were chemically interpreted by highlighting the NIR wavelengths and minerals, respectively, contributing the most to the PCA models. Moreover, a mid-level data fusion protocol allowed integrating the information from the different techniques and, in particular, to correctly identify (based on the distance in the score space) three test samples of known type. Moreover, it should be stressed that positive results on the differentiation and identification of <i>marmora</i> were obtained using two completely non-invasive, non-destructive and relatively inexpensive techniques, which can also be used <i>in situ</i>.</p
DataSheet_1_Using combined single-cell gene expression, TCR sequencing and cell surface protein barcoding to characterize and track CD4+ T cell clones from murine tissues.pdf
Single-cell gene expression analysis using sequencing (scRNA-seq) has gained increased attention in the past decades for studying cellular transcriptional programs and their heterogeneity in an unbiased manner, and novel protocols allow the simultaneous measurement of gene expression, T-cell receptor clonality and cell surface protein expression. In this article, we describe the methods to isolate scRNA/TCR-seq-compatible CD4+ T cells from murine tissues, such as skin, spleen, and lymph nodes. We describe the processing of cells and quality control parameters during library preparation, protocols for multiplexing of samples, and strategies for sequencing. Moreover, we describe a step-by-step bioinformatic analysis pipeline from sequencing data generated using these protocols. This includes quality control, preprocessing of sequencing data and demultiplexing of individual samples. We perform quantification of gene expression and extraction of T-cell receptor alpha and beta chain sequences, followed by quality control and doublet detection, and methods for harmonization and integration of datasets. Next, we describe the identification of highly variable genes and dimensionality reduction, clustering and pseudotemporal ordering of data, and we demonstrate how to visualize the results with interactive and reproducible dashboards. We will combine different analytic R-based frameworks such as Bioconductor and Seurat, illustrating how these can be interoperable to optimally analyze scRNA/TCR-seq data of CD4+ T cells from murine tissues.</p
Chimpanzee_variants
Variants identified in chimpanzee
Haplotype_table
List of haplotypes identified in 40 Asian chromosome
<sup>1</sup>H NMR-Based Urinary Metabolic Profiling Reveals Changes in Nicotinamide Pathway Intermediates Due to Postnatal Stress Model in Rat
The
maternal separation protocol in rodents is a widely recognized model
of early life stress allowing acute and chronic physiological consequences
to be studied. An <sup>1</sup>H NMR-based metabolomic approach was
applied to urines to evaluate the systemic metabolic consequences
of maternal separation stress in female rats after the beginning of
weaning and 4 weeks later when the rats were reaching adulthood. Furthermore,
because maternal separation is considered as a model mimicking the
inflammatory bowel syndrome, the lactulose/mannitol test was used
to evaluate the influence of postnatal maternal separation on gut
permeability and mucosal barrier function by <sup>1</sup>H NMR spectroscopy
analysis of urine. The results showed no statistical differences in
gut permeability due to maternal separation. The application of ANOVA
simultaneous component analysis allowed the contributions of physiological
adaptations to the animal’s development to be separated from
the metabolic consequences due to postnatal stress. Systemic metabolic
differences in the maternally separated pups were mainly due to the
tryptophan/NAD pathway intermediate levels and to the methyladenosine
level. Urinary NMR-based metabolic profiling allowed us to disentangle
the metabolic adaptive response of the rats to postnatal stress during
the animal’s growth, highlighting the metabolic changes induced
by weaning, gut closure, and maturity
Raman Spectroscopy Applied to Parathyroid Tissues: A New Diagnostic Tool to Discriminate Normal Tissue from Adenoma
Primary
hyperparathyroidism is an endocrine disorder characterized
by autonomous production of parathyroid hormone. Patients with the
symptomatic disease should be referred for parathyroidectomy. However,
the distinction between the pathological condition and the benign
one is very challenging in the surgical setting; therefore, accurate
recognition is important to ensure success during minimally invasive
surgery. At present, all intraoperative techniques significantly increase
surgical time and, consequently, cost. In this proof-of-concept study,
Raman microscopy was used to differentiate between healthy parathyroid
tissue and parathyroid adenoma from 18 patients. The data showed different
spectroscopic features for the two main tissue types of healthy and
adenoma. Moreover, the parathyroid adenoma subtypes (chief cells and
oxyphil cells) were characterized by their own Raman spectra. The
partial least-squares discriminant analysis (PLS-DA) model built to
discriminate healthy from adenomatous parathyroid tissue was able
to correctly classify all samples in the calibration and validation
data sets, providing 100% prediction accuracy. The PLS-DA model built
to discriminate chief cell adenoma from oxyphil cell adenoma allowed
us to correctly classify >99% of the spectra during calibration
and
cross-validation and to correctly predict 100% of oxyphil and 99.8%
of chief cells in the external validation data set. The results clearly
demonstrate the great potential of Raman spectroscopy. The final goal
would be development of a Raman portable fiber probe device for intraoperative
optical biopsy, both to improve the surgical success rate and reduce
surgical cost