Papers by Emanuela Trovato
Additional file 15: Table S10. Compounds identified through GC-MS analysis.
Additional file 12: Table S8. Sample-specific expression of T. magnatum genes involved in sulfur ... more Additional file 12: Table S8. Sample-specific expression of T. magnatum genes involved in sulfur metabolism.
Additional file 4: Table S4. Summary of sulfur-related proteins identified by nanoLC-ESI-LIT-MS/M... more Additional file 4: Table S4. Summary of sulfur-related proteins identified by nanoLC-ESI-LIT-MS/MS analysis.
Additional file 1: Table S1. Summary results of post-hoc tests performed on quantitative protein ... more Additional file 1: Table S1. Summary results of post-hoc tests performed on quantitative protein spot data obtained from 2-DE gel analysis of Alba (AL), San Miniato (SM) and Isernia (IS) fruiting bodies.
Additional file 7: Figure S2. Volcano plots representing the differentially expressed genes based... more Additional file 7: Figure S2. Volcano plots representing the differentially expressed genes based on RNA-seq data. Pairwise comparisons are shown for San Miniato vs Alba (a) and Isernia vs Alba (b). Yellow dots highlight DEGs selected for |log2 fold change| > 1.5 and FDR
Additional file 19: Table S14. PLS-DA (PTR-ToF-MS model) statistics for each Y-Block (class 1 = A... more Additional file 19: Table S14. PLS-DA (PTR-ToF-MS model) statistics for each Y-Block (class 1 = Alba; class 2 = Isernia; class 3 = San Miniato) related to 92 truffle samples.
Additional file 11: Data file S1. Differentially expressed genes (DEGs) data related to sample co... more Additional file 11: Data file S1. Differentially expressed genes (DEGs) data related to sample comparisons. Data sheets A) DEGs related to comparison San Miniato (SM) vs Alba (AL); B) DEGs related to comparison Isernia (IS) vs Alba (AL); C) DEGs identified in both the comparisons (SMvsAL, ISvsAL); D) DEGs identified only in San Miniato (SM) vs Alba (AL); E) DEGs identified only in Isernia (IS) vs Alba (AL); F) Gene specificty reported in TPM (transcripts per million) for each sample.
Handbook of Essential Oils, 2020
Facta Universitatis - Series: Physics, Chemistry and Technology, 2018
It is well-known that cannabinoids provide non-toxic medical benefits and have an effective role ... more It is well-known that cannabinoids provide non-toxic medical benefits and have an effective role in the treatment of chronic pain due to their interaction with the endocannabinoid system. Recently, in addition to the “classical” therapeutic usage, like inhalation or ingestion of cannabis, newer ways of cannabinoid-based products utilization are also being developed. The skin application of topicals including balms, lotions, and oils that are infused with active cannabinoids is a minimally invasive method for the medical cannabis use and allows them to be absorbed directly into the affected area for faster and more focused relief. According to the terpene profile, the medicinal effect of cannabinoids can change significantly. Terpenes, in fact, have various roles: can make the adsorption of cannabinoids faster, or lessen their effect, interact with cannabinoids, decrease the side-effects of the cannabinoid therapy, and help to relax and calm the patient. Gas chromatography-mass spect...
Molecules
The aim of the present study was to determine the volatile compounds of three different species o... more The aim of the present study was to determine the volatile compounds of three different species of chili peppers, using solid-phase microextraction (SPME) methods in combination with gas chromatography–mass spectrometry (GC-MS). The detection of marker aroma compounds could be used as a parameter to differentiate between species of chili peppers for their detection and traceability in chili pepper food. The sensorial contribution was also investigated to identify the predominant notes in each species and to evaluate how they can influence the overall aroma. Three different pepper species belonging to the Capsicum genus were analyzed: Chinense, Annuum, and Baccatum. A total of 269 volatile compounds were identified in these species of chili peppers. The Capsicum annum species were characterized by a high number of acids and ketones, while the Capsicum chinense and Capsicum baccatum were characterized by esters and aldehydes, respectively. The volatile profile of extra virgin olive oi...
Molecules, 2022
Rhus coriaria L. (Anacardiaceae), commonly known as sumac, has been used since ancient times for ... more Rhus coriaria L. (Anacardiaceae), commonly known as sumac, has been used since ancient times for many different applications, and nowadays is used mostly as a spice obtained from its in the Mediterranean and the Middle ground fruits and employed for flavoring and garnishing food, predominantly Eastern regions. Traditionally, sumac has been also used in popular medicine for the treatment of many ailments including hemorrhoids, wound healing, diarrhea, ulcers, and eye inflammation. Sumac drupes are indeed rich in various classes of phytochemicals including organic acids, flavonoids, tannins, and others, which are responsible of their powerful antioxidant capacity, from which treatment of many common diseases such as cardiovascular disease, diabetes, and cancer could benefit. In this work we evaluated the influence of fruit ripeness, conservation, and processing. To this aim, a phytochemical characterization of six different samples of Rhus coriaria L. was carried out. Specifically, he...
Additional file 10: Figure S3. Sample gene specificity. Shannon entropy (SH) distribution of T. m... more Additional file 10: Figure S3. Sample gene specificity. Shannon entropy (SH) distribution of T. magnatum genes (n = 6665) based on the expression data (in transcripts per million, TPM). A SH coefficient > 0.6 represents the gene-specific expression associated to each T. magnatum ecotype (i.e. geographical accession, see Additional file 11: Data file S1).
Additional file 3: Table S3. Additional information related to the uncharacterized and predicted ... more Additional file 3: Table S3. Additional information related to the uncharacterized and predicted proteins identified through mass spectrometry.
Additional file 13: Table S9. T. magnatum genes involved in the sulfur metabolism and annotated i... more Additional file 13: Table S9. T. magnatum genes involved in the sulfur metabolism and annotated in T. melanosporum.
Additional file 8: Table S6. Top 100 transcripts related to San Miniato – Alba comparison (differ... more Additional file 8: Table S6. Top 100 transcripts related to San Miniato – Alba comparison (differential expression analysis results).
Additional file 17: Table S12. VIPs compounds (GC-MS data) according to PLS-DA analysis. Compound... more Additional file 17: Table S12. VIPs compounds (GC-MS data) according to PLS-DA analysis. Compounds that displayed VIP scores ≥2 (bold marked) in at least in one sample are shown.
Additional file 16: Table S11. PLS-DA (GC MS model) statistics for each Y-Block (class 1 = Alba; ... more Additional file 16: Table S11. PLS-DA (GC MS model) statistics for each Y-Block (class 1 = Alba; class 2 = Isernia; class 3 = San Miniato) related to 64 truffle samples.
Additional file 6: Figure S1. Euclidean distance among samples. The heat map shows sample to samp... more Additional file 6: Figure S1. Euclidean distance among samples. The heat map shows sample to samples distances indicating the strong correlation between biological replicates. The distance matrix was calculated from the normalized expression dataset using the variance-stabilizing transformations function from the Bioconductor package DESeq2. Data were hierarchically clustered based on sample distances. Biological replicates are indicated as r1 (year 2014) and r2 (year 2015). Shades of grey represent different extents of correlation among samples; black represents perfect positive correlation.
Additional file 20: Table S15. VIPs compounds (PTR-ToF data) according to PLS-DA analysis.
Additional file 18: Table S13. Compounds identified through PTR-ToF analysis conducted during 4 y... more Additional file 18: Table S13. Compounds identified through PTR-ToF analysis conducted during 4 years of experimental work.
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Papers by Emanuela Trovato