Percorrer por autor "Santos, Hugo M."
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- Evaluation of FASP for Mass Spectrometry-Based Untargeted Metabolomics analysis of urine samplesPublication . Mousa, Muath Khairi; Carvalho, Luis B.; Giddey, Alexander D.; Figueiredo, André; Al-Hroub, Hamza; Semreen, Mohammad H.; Uddin, Mohammed; Santos, Hugo M.; Soares, Nelson C.Filter-Aided Sample Preparation (FASP) is a well-established method in proteomics, yet its potential for the parallel recovery of metabolites remains largely unexplored. Herein, we evaluate the performance of FASP as a straightforward workflow for the simultaneous isolation of protein and corresponding metabolite fractions from a single urine sample. The FASP-based LC-MS/MS approach for both proteomics and metabolomics analysis identified 3,163 nonredundant peptides corresponding to 957 unique protein groups. The metabolomic profile comparison of three urine fractions, specifically FASP-concentrated, FASP flow-through, and raw samples, resulted in the identification of 176 common metabolites. Next, as a proof-of-concept, the FASP protocol was applied to compare the metabolomic profiles of clinical urine samples from healthy individuals (n = 13) and patients with Ta bladder cancer (n = 12). The metabolomic modulation was consistent with previously reported findings, highlighting perturbations in phenylacetate, purine, and tryptophan metabolism, as reflected by changes in metabolites such as adenosine monophosphate (AMP), phenylacetic acid, glutamine, cytosine, and l-tryptophan. FASP protocol can be effectively adapted for the concurrent profiling of both proteomic and metabolomic fractions from urine samples. Thus, FASP-based workflow represents a viable alternative for single-step sample preparation, facilitating subsequent quantitative multiomics data integration.
- How to dissect viral infections and their interplay with the host-proteome by immunoaffinity and mass spectrometry: A tutorialPublication . Santos, Hugo M.; Carvalho, Luís B.; Lodeiro, Carlos; Martins, Gonçalo; Gomes, Inês L.; Antunes, Wilson D.T.; Correia, Vanessa; Almeida-Santos, Maria M.; Rebelo-de-Andrade, Helena; Matos, António P.A.; Capelo, J.L.The capabilities of bioanalytical mass spectrometry to (i) detect and differentiate viruses at the peptide level whilst maintaining high sample throughput and (ii) to provide diagnosis and prognosis for infected patients are presented as a tutorial in this work to aid analytical chemists and physicians to gain insights into the possibilities offered by current high-resolution mass spectrometry technology and bioinformatics. From (i) sampling to sample treatment; (ii) Matrix-Assisted Laser Desorption Ionization- to Electrospray Ionization -based mass spectrometry; and (iii) from clustering to peptide sequencing; a detailed step-by-step guide is provided and exemplified using SARS-CoV-2 Spike Y839 variant and the variant of concern SARS-CoV-2 Alpha (B.1.1.7 lineage), Influenza B, and Influenza A subtypes AH1N1pdm09 and AH3N2.
- Multiomics Assessment of Gene Expression in a Clinical Strain of CTX-M-15-Producing ST131 Escherichia coliPublication . Pinto, Luís; Torres, Carmen; Gil, Concha; Nunes-Miranda, Júlio D.; Santos, Hugo M.; Borges, Vítor; Gomes, João P.; Silva, Catarina; Vieira, Luís; Pereira, José E.; Poeta, Patrícia; Igrejas, GilbertoExtended-spectrum beta-lactamase (ESBL)-producing Escherichia coli strain C999 was isolated of a Spanish patient with urinary tract infection. Previous genotyping indicated that this strain presented a multidrug-resistance phenotype and carried beta-lactamase genes encoding CTX-M-15, TEM-1, and OXA-1 enzymes. The whole-cell proteome, and the membrane, cytoplasmic, periplasmic and extracellular sub-proteomes of C999 were obtained in this work by two-dimensional gel electrophoresis (2DE) followed by fingerprint sequencing through matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS). A total of 602 proteins were identified in the different cell fractions, several of which are related to stress response systems, cellular responses, and antibiotic and drug responses, consistent with the multidrug-resistance phenotype. In parallel, whole genome sequencing (WGS) and RNA sequencing (RNA-Seq) was done to identify and quantify the genes present and expressing. The in silico prediction following WGS confirmed our strain as being serotype O25:H4 and sequence type ST131. The presence of proteins related to antibiotic resistance and virulence in an O25:H4-ST131 E. coli clone are serious indicators of the continued threat of antibiotic resistance spread amongst healthcare institutions. On a positive note, a multiomics approach can facilitate surveillance and more detailed characterization of virulent bacterial clones from hospital environments.
- Multiomics Substrates of Resistance to Emerging Pathogens? Transcriptome and Proteome Profile of a Vancomycin-Resistant Enterococcus faecalis Clinical StrainPublication . Pinto, Luís; Torres, Carmen; Gil, Concha; Santos, Hugo M.; Capelo, José Luís; Borges, Vítor; Gomes, João Paulo; Silva, Catarina; Vieira, Luís; Poeta, Patrícia; Igrejas, GilbertoAntibiotic resistance and hospital acquired infections are on the rise worldwide. Vancomycin-resistant enterococci have been reported in clinical settings in recent decades. In this multiomics study, we provide comprehensive proteomic and transcriptomic analyses of a vancomycin-resistant Enterococcus faecalis clinical isolate from a patient with a urinary tract infection. The previous genotypic profile of the strain C2620 indicated the presence of antibiotic resistance genes characteristic of the vanB cluster. To further investigate the transcriptome of this pathogenic strain, we used whole genome sequencing and RNA-sequencing to detect and quantify the genes expressed. In parallel, we used two-dimensional gel electrophoresis followed by MALDI-TOF/MS (Matrix-assisted laser desorption/ionization-Time-of-flight/Mass spectrometry) to identify the proteins in the proteome. We studied the membrane and cytoplasm subproteomes separately. From a total of 207 analysis spots, we identified 118 proteins. The protein list was compared to the results obtained from the full transcriptome assay. Several genes and proteins related to stress and cellular response were identified, as well as some linked to antibiotic and drug responses, which is consistent with the known state of multiresistance. Even though the correlation between transcriptome and proteome data is not yet fully understood, the use of multiomics approaches has proven to be increasingly relevant to achieve deeper insights into the survival ability of pathogenic bacteria found in health care facilities.
- Multiomicssubstrates of resistance to emerging pathogens? transcriptome and proteome profile of a vancomycin-resistant Enterococcus faecalis clinical strainPublication . Pinto, Luís; Torres, Carmen; Gil, Concha; Santos, Hugo M.; Capelo, José Luís; Borges, Vítor; Gomes, João Paulo; Silva, Catarina; Vieira, Luís; Poeta, Patrícia; Igrejas, GilbertoAntibiotic resistance and hospital acquired infections are on the rise worldwide. Vancomycin-resistant enterococci have been reported in clinical settings in recent decades. In this multiomics study, we provide comprehensive proteomic and transcriptomic analyses of a vancomycin-resistant Enterococcus faecalis clinical isolate from a patient with a urinary tract infection. The previous genotypic profile of the strain C2620 indicated the presence of antibiotic resistance genes characteristic of the vanB cluster. To further investigate the transcriptome of this pathogenic strain, we used whole genome sequencing and RNA-sequencing to detect and quantify the genes expressed. In parallel, we used two-dimensional gel electrophoresis followed by MALDI-TOF/MS (Matrix-assisted laser desorption/ionization-Time-of-flight/Mass spectrometry) to identify the proteins in the proteome. We studied the membrane and cytoplasm subproteomes separately. From a total of 207 analysis spots, we identified 118 proteins. The protein list was compared to the results obtained from the full transcriptome assay. Several genes and proteins related to stress and cellular response were identified, as well as some linked to antibiotic and drug responses, which is consistent with the known state of multiresistance. Even though the correlation between transcriptome and proteome data is not yet fully understood, the use of multiomics approaches has proven to be increasingly relevant to achieve deeper insights into the survival ability of pathogenic bacteria found in health care facilities.