Proteomic insights in Acrocomia aculeata: Optimizing sample preparation techniques for analysis of an oleaginous alternative crop Wassali Valadares de Sousa, Yara Martins da Silva, Milene de Figueiredo, Sérgio Yoshimitsu Motoike, Gilberto Barbosa Domont, Kacilda Naomi Kuki, Fábio César Sousa Nogueira Food Chemistry, 2026 Proteomics of Acrocomia aculeata ( macauba palm), a highly oleaginous tropical species, has been limited by its fibrous, carbohydrate- and lipid-rich tissues. This study reports the first proteomic characterization of its mesocarp and endosperm, establishing optimized workflows for mass spectrometry-based proteomics analysis. Across five tested protocols, 3223 proteins were identified in mesocarp and 942 in endosperm, including storage globulins, metabolite interconversion enzymes, translational proteins, and stress-response factors. The S-Trap (ST) method provided the best performance in the endosperm, with 239 unique proteins, enhanced recovery of Golgi and nuclear proteins, and the lowest variability (median CV ~25%). Conversely, the phenol-saturated protocol (P-In) excelled in the mesocarp, identifying up to 2248 proteins, particularly plastidial and vacuolar classes. These findings demonstrate that protocol selection influences proteomic depth, reproducibility, and functional coverage. By delivering a robust workflow for this non-model crop, our study enables new applications in food proteomics, oil metabolism, and sustainable ingredient development. • First comprehensive proteomic profiling of Acrocomia aculeata fruit tissues. • Efficient extraction from fibrous, lipid- and carbohydrate-rich tissues. • 3200 proteins in mesocarp and 940 in endosperm characterized. • Robust workflow for proteomics in oil-rich tropical non-model species. • Unlocks food potential of A. aculeata as source of oils and proteins.
Dinuclear Cu2+-complexes disrupt cellular pathways and rewire the breast cancer proteome Zeinab Ghasemishahrestani, Simone Santiago Carvalho de Oliveira, Rafaela dos Santos Moraes Francisco, Luis Felipe Costa Ramos, Renata Maria dos Santos, Gilberto Barbosa Domont, Nicolás A. Rey, André Luis Souza dos Santos, Fabio Cesar Sousa Nogueira, Marcos Dias Pereira Journal of Proteomics, 2026
Proteomics and Metabolomics Profiles of Unvaccinated Nonagenarian Patients with Severe SARS-CoV-2 Infection Mauricio Quiñones-Vega, Patricia Sosa-Acosta, Jéssica de Siqueira Guedes, Natália Pinto de Almeida, Mateus V de Castro, Moníze V. R. Silva, Luiz P. Dell’Aquila, Álvaro Razuk-Filho, Pedro B. Batista-Júnior, Mayana Zatz, Fábio César Sousa Nogueira, Gilberto Barbosa Domont Journal of Proteome Research, 2025 The mortality rate of COVID-19 increases significantly in patients over the age of 90, although some elderly people in this category have experienced mild disease or have been asymptomatic. In this context, we aim to analyze the plasma proteomic and metabolomic profiles of unvaccinated nonagenarian patients who had severe manifestations of COVID-19 and either recovered or died and compare them with noninfected control subjects. Compared with healthy individuals, nonsurviving patients showed a reduced abundance of specific lipid-related proteins and metabolites, including APOH, APOC1, LCAT, 7-α-25-dihydroxycholesterol, 7-dehydrocholesterol, and phosphatidylethanolamine, which may serve as indicative markers of severity. Acute phase response, complement activation, and sphingolipids and phospholipids remain altered in recovered patients, indicating possible persistent effects of COVID-19. This study employs a multiomics approach to unveil key immune alterations in unvaccinated nonagenarians, shedding light on molecular signatures that may serve as predictive markers for disease severity and recovery in the elderly population.
Investigation of the Impact of a Protein Source on the Purification of l-Asparaginase Type II from Escherichia coli Anna Catharinna da Costa, Talita Stelling de Araujo, Anna Carolina Lomba Pereira, Luis Ariel Espinosa Rodríguez, Leonardo Dingo do Lago, Camila Dias Leite da Silva, Rafael Alves de Andrade, Luís Maurício Trambaioli da Rocha e Lima, Fábio C. S. Nogueira, Gilberto Barbosa Domont, Marcius da Silva Almeida ACS Omega, 2025 l-asparaginase type II (EcA2) is essential for treating childhood acute lymphoblastic leukemia (ALL), improving survival rates since its introduction. After the expiration of its original patents, interest in producing biosimilars has increased, particularly to reduce treatment-related side effects. In this study, we compared two production methods for EcA2, purifying the enzyme from broth and from the soluble fraction of the cell pellet lysate. Using a converging purification workflow, we obtained 66.3 (±2.3) mg/L of l-asparaginase from broth and 29.2 (±4.6) mg/L from the cell pellet lysate, with specific activities of 136.3 (±13.3) and 123.5 (±10.3) IU/mg, respectively. Both versions showed similar three-dimensional structures, thermal stability, and specific activity, with no significant differences in performance. Proteomic analysis revealed that purification from broth resulted in fewer host cell proteins than purification from the cell pellet lysate. Our results further suggest that the purification process from cell lysate is more susceptible to variability than purification from the broth. These findings demonstrate that while both production methods yield comparable enzymes in terms of structure and activity, purifying from broth may offer advantages in terms of lower contamination and better reproducibility.
Mitochondrial proteome landscape unveils key insights into melanoma severity and treatment strategies Yonghyo Kim, Viktória Doma, Uğur Çakır, Magdalena Kuras, Lazaro Hiram Betancourt, Indira Pla, Aniel Sanchez, Yutaka Sugihara, Roger Appelqvist, Henriett Oskolas, Boram Lee, Jéssica Guedes, Gustavo Monnerat, Gabriel Reis Alves Carneiro, Fábio C. S. Nogueira, Gilberto B. Domont, Johan Malm, Bo Baldetorp, Elisabet Wieslander, István Balázs Németh, A. Marcell Szász, Runyu Hong, Krzysztof Pawłowski, Melinda Rezeli, Ho Jeong Kwon, Jozsef Timar, David Fenyö, Sarolta Kárpáti, György Marko‐Varga, Jeovanis Gil Cancer, 2025 BackgroundMelanoma, the deadliest form of skin cancer, exhibits resistance to conventional therapies, particularly in advanced and metastatic stages. Mitochondrial pathways, including oxidative phosphorylation and mitochondrial translation, have emerged as critical drivers of melanoma progression and therapy resistance. This study investigates the mitochondrial proteome in melanoma to uncover novel therapeutic vulnerabilities.MethodsQuantitative proteomics was performed on 151 melanoma‐related samples from a prospective cohort and postmortem tissues. Differential expression analysis identified mitochondrial proteins linked to disease aggression and treatment resistance. Functional enrichment analyses and in vitro validation using mitochondrial inhibitors were conducted to evaluate therapeutic potential.ResultsMitochondrial translation and oxidative phosphorylation (OXPHOS) were significantly upregulated in aggressive melanomas, particularly in BRAF‐mutant and metastatic tumors. Inhibition of mitochondrial pathways using antibiotics (doxycycline, tigecycline, and azithromycin) and OXPHOS inhibitors (VLX600, IACS‐010759, and BAY 87‐2243) demonstrated dose‐dependent antiproliferative effects in melanoma cell lines, sparing noncancerous melanocytes. These treatments disrupted mitochondrial function, suppressed key metabolic pathways, and induced apoptosis, highlighting the clinical relevance of targeting these pathways.ConclusionsThis study reveals mitochondrial pathways as critical drivers of melanoma progression and resistance, providing a rationale for targeting mitochondrial translation and OXPHOS in advanced melanoma. Combining mitochondrial inhibitors with existing therapies could overcome treatment resistance and improve patient outcomes.
Melanoma Proteomics Unveiled: Harmonizing Diverse Data Sets for Biomarker Discovery and Clinical Insights via MEL-PLOT Áron Bartha, Boglárka Weltz, Lazaro Hiram Betancourt, Jeovanis Gil, Natália Pinto de Almeida, Giampaolo Bianchini, Beáta Szeitz, Leticia Szadai, Indira Pla, Lajos V. Kemény, Ágnes Judit Jánosi, Runyu Hong, Ahmad Rajeh, Fábio Nogueira, Viktória Doma, Nicole Woldmar, Jéssica Guedes, Zsuzsanna Újfaludi, Yonghyo Kim, Tibor Szarvas, Zoltan Pahi, Tibor Pankotai, A. Marcell Szasz, Aniel Sanchez, Bo Baldetorp, József Tímár, István Balázs Németh, Sarolta Kárpáti, Roger Appelqvist, Gilberto Barbosa Domont, Krzysztof Pawlowski, Elisabet Wieslander, Johan Malm, David Fenyo, Peter Horvatovich, György Marko-Varga, Balázs Győrffy Journal of Proteome Research, 2025 Using several melanoma proteomics data sets we created a single analysis platform that enables the discovery, knowledge build, and validation of diagnostic, predictive, and prognostic biomarkers at the protein level. Quantitative mass-spectrometry-based proteomic data was obtained from five independent cohorts, including 489 tissue samples from 394 patients with accompanying clinical metadata. We established an interactive R-based web platform that enables the comparison of protein levels across diverse cohorts, and supports correlation analysis between proteins and clinical metadata including survival outcomes. By comparing differential protein levels between metastatic, primary tumor, and nonmalignant samples in two of the cohorts, we identified 274 proteins showing significant differences among the sample types. Further analysis of these 274 proteins in lymph node metastatic samples from a third cohort revealed that 45 proteins exhibited a significant effect on patient survival. The three most significant proteins were HP (HR = 4.67, p = 2.8e-06), LGALS7 (HR = 3.83, p = 2.9e-05), and UBQLN1 (HR = 3.2, p = 4.8e-05). The user-friendly interactive web platform, accessible at https://www.tnmplot.com/melanoma, provides an interactive interface for the analysis of proteomic and clinical data. The MEL-PLOT platform, through its interactive capabilities, streamlines the creation of a comprehensive knowledge base, empowering hypothesis formulation and diligent monitoring of the most recent advancements in the domains of biomedical research and drug development.
Comprehensive biobanking strategy with clinical impact at the European Cancer Moonshot Lund Center Henriett Oskolas, Fábio C.N. Nogueira, Gilberto B. Domont, Kun-Hsing Yu, Yevgeniy R. Semenov, Peter Sorger, Erik Steinfelder, Les Corps, Lesley Schulz, Elisabet Wieslander, David Fenyö, Sarolta Kárpáti, Péter Holló, Lajos V. Kemény, Balazs Döme, Zsolt Megyesfalvi, Krzysztof Pawłowski, Toshihide Nishimura, HoJeong Kwon, Sergio Encarnación-Guevara, A. Marcell Szasz, Zoltán Veréb, Rolland Gyulai, István Balázs Németh, Roger Appelqvist, Melinda Rezeli, Bo Baldetorp, Peter Horvatovich, Johan Malmström, Indira Pla, Aniel Sanchez, Beatrice Knudsen, András Kiss, Johan Malm, György Marko-Varga, Jeovanis Gil Journal of Proteomics, 2025 This white paper presents a comprehensive biobanking framework developed at the European Cancer Moonshot Lund Center that merges rigorous sample handling, advanced automation, and multi-omic analyses to accelerate precision oncology. Tumor and blood-based workflows, supported by automated fractionation systems and standardized protocols, ensure the collection of high-quality biospecimens suitable for proteomic, genomic, and metabolic studies. A robust informatics infrastructure, integrating LIMS, barcoding, and REDCap, supports end-to-end traceability and realtime data synchronization, thereby enriching each sample with critical clinical metadata. Proteogenomic integration lies at the core of this initiative, uncovering tumor- and blood-based molecular profiles that inform cancer heterogeneity, metastasis, and therapeutic resistance. Machine learning and AI-driven models further enhance these datasets by stratifying patient populations, predicting therapeutic responses, and expediting the discovery of actionable targets and companion biomarkers. This synergy between technology, automation, and high-dimensional data analytics enables individualized treatment strategies in melanoma, lung, and other cancer types. Aligned with international programs such as the Cancer Moonshot and the ICPC, the Lund Center's approach fosters open collaboration and data sharing on a global scale. This scalable, patient-centric biobanking paradigm provides an adaptable model for institutions aiming to unify clinical, molecular, and computational resources for transformative cancer research.
Unbiased Drug Target Prediction Reveals Sensitivity to Ferroptosis Inducers, HDAC and RTK Inhibitors in Melanoma Subtypes Indira Pla, Botond L. Szabolcs, Petra Nikolett Péter, Zsuzsanna Ujfaludi, Yonghyo Kim, Peter Horvatovich, Aniel Sanchez, Krzysztof Pawlowski, Elisabet Wieslander, Magdalena Kuras, Jimmy Rodriguez Murillo, Jéssica Guedes, Dorottya M.P. Pál, Anna A. Ascsillán, Lazaro Hiram Betancourt, István Balázs Németh, Jeovanis Gil, Natália Pinto de Almeida, Beáta Szeitz, Leticia Szadai, Viktória Doma, Nicole Woldmar, Áron Bartha, Zoltan Pahi, Tibor Pankotai, Balázs Győrffy, A. Marcell Szasz, Gilberto Domont, Fábio Nogueira, Ho Jeong Kwon, Roger Appelqvist, Sarolta Kárpáti, David Fenyö, Johan Malm, György Marko‐Varga, Lajos V. Kemény International Journal of Dermatology, 2025 BackgroundThe utilization of PD1 and CTLA4 inhibitors has revolutionized the treatment of malignant melanoma (MM). However, resistance to targeted and immune‐checkpoint‐based therapies still poses a significant problem.ObjectiveHere, we mine large‐scale MM proteogenomic data to identify druggable targets and forecast treatment efficacy and resistance.MethodsLeveraging protein profiles from established MM subtypes and molecular structures of 82 cancer treatment drugs, we identified nine candidate hub proteins, mTOR, FYN, PIK3CB, EGFR, MAPK3, MAP4K1, MAP2K1, SRC, and AKT1, across five distinct MM subtypes. These proteins are potential drug targets applicable to one or multiple MM subtypes. Additionally, by integrating proteogenomic profiles obtained from MM subtypes with MM cell line dependency and drug sensitivity data, we identified a total of 162 potentially targetable genes. Lastly, we identified 20 compounds exhibiting potential drug impact in at least one melanoma subtype.ResultsEmploying these unbiased approaches, we have uncovered compounds targeting ferroptosis demonstrating a striking 30× fold difference in sensitivity among different subtypes.ConclusionsOur results suggest innovative and novel therapeutic strategies by stratifying melanoma samples through proteomic profiling, offering a spectrum of novel therapeutic interventions and prospects for combination therapy.
Leishmania amazonensis-derived extracellular vesicles (EVs) induce neutrophil extracellular traps (NETs) Gean C Pereira-Silva, Jorge Mansur Medina, Letícia Paschoaletto, Luana Mangeth, Felipe Soares Coelho, Márcia Attias, Gilberto B Domont, Fábio C S Nogueira, Patrícia Sosa-Acosta, Eidy de Oliveira Santos, Carlos Vinicius Ferreira, Beatriz Toja de Miranda, Julio Alberto Mignaco, Teresa Calegari-Silva, Ulisses Gazos Lopes, Elvira Maria Saraiva Journal of Leukocyte Biology, 2025
RCB-4, a novel cyclic peptide, from Ricinus communis with anti-Trypanosoma cruzi activities Francianne Galossi-de-Souza, Laís Pessanha de Carvalho, Edésio José Tenório de Melo, Felipe Figueirôa Moreira, Sérgio Henrique Seabra, Fábio César Sousa Nogueira, Gilberto Barbosa Domont, Jonas Perales, André Teixeira da Silva Ferreira, Sarah Rodrigues Ferreira, Olga Lima Tavares Machado Journal of Molecular Structure, 2024
β-1,3-Glucan recognition by Acanthamoeba castellanii as a putative mechanism of amoeba-fungal interactions Marina da Silva Ferreira, Diego de Souza Gonçalves, Susana Ruiz Mendoza, Gabriel Afonso de Oliveira, Bruno Pontes, Claudia Rodríguez-de la Noval, Leandro Honorato, Luis Felipe Costa Ramos, Fábio C. S. Nogueira, Gilberto B. Domont, Arturo Casadevall, Leonardo Nimrichter, Jose Mauro Peralta, Allan J. Guimaraes Applied and Environmental Microbiology, 2024
β-1,3-Glucan recognition by Acanthamoeba castellanii as a putative mechanism of amoeba-fungal interactions Marina da Silva Ferreira, Diego de Souza Gonçalves, Susana Ruiz Mendoza, Gabriel Afonso de Oliveira, Bruno Pontes, Claudia Rodríguez-de la Noval, Leandro Honorato, Luis Felipe Costa Ramos, Fábio C. S. Nogueira, Gilberto B. Domont, Arturo Casadevall, Leonardo Nimrichter, Jose Mauro Peralta, Allan J. Guimaraes Applied and Environmental Microbiology, 2024
Predicting immune checkpoint therapy response in three independent metastatic melanoma cohorts Leticia Szadai, Aron Bartha, Indira Pla Parada, Alexandra I.T. Lakatos, Dorottya M.P. Pál, Anna Sára Lengyel, Natália Pinto de Almeida, Ágnes Judit Jánosi, Fábio Nogueira, Beata Szeitz, Viktória Doma, Nicole Woldmar, Jéssica Guedes, Zsuzsanna Ujfaludi, Zoltán Gábor Pahi, Tibor Pankotai, Yonghyo Kim, Balázs Győrffy, Bo Baldetorp, Charlotte Welinder, A. Marcell Szasz, Lazaro Betancourt, Jeovanis Gil, Roger Appelqvist, Ho Jeong Kwon, Sarolta Kárpáti, Magdalena Kuras, Jimmy Rodriguez Murillo, István Balázs Németh, Johan Malm, David Fenyö, Krzysztof Pawłowski, Peter Horvatovich, Elisabet Wieslander, Lajos V. Kemény, Gilberto Domont, György Marko-Varga, Aniel Sanchez Frontiers in Oncology, 2024
Phenolic Profile and Antioxidant Properties in Extracts of Developing Açaí (Euterpe oleracea Mart.) Seeds Gabriel R. Martins, Mariana M. G. Mattos, Fabiane Marques Nascimento, Felipe L. Brum, Ronaldo Mohana-Borges, Natália Guimarães Figueiredo, Domingos F. M. Neto, Gilberto Barbosa Domont, Fábio César Sousa Nogueira, Francisco de Assis de Paiva Campos, Ayla Sant’Ana da Silva Journal of Agricultural and Food Chemistry, 2022
Correction: The oldest unvaccinated Covid-19 survivors in South America (Immunity & Ageing, (2022), 19, 1, (57), 10.1186/s12979-022-00310-y) Mateus V. de Castro, Monize V. R. Silva, Michel S. Naslavsky, Marilia O. Scliar, Kelly Nunes, Maria Rita Passos-Bueno, Erick C. Castelli, Jhosiene Y. Magawa, Flávia L. Adami, Ana I. S. Moretti, Vivian L. de Oliveira, Silvia B. Boscardin, Edecio Cunha-Neto, Jorge Kalil, Emmanuelle Jouanguy, Paul Bastard, Jean-Laurent Casanova, Mauricio Quiñones-Vega, Patricia Sosa-Acosta, Jéssica de S. Guedes, Natália P. de Almeida, Fábio C. S. Nogueira, Gilberto B. Domont, Keity S. Santos, Mayana Zatz Immunity and Ageing, 2022
The oldest unvaccinated Covid-19 survivors in South America Mateus V. de Castro, Monize V. R. Silva, Michel S. Naslavsky, Marilia O. Scliar, Kelly Nunes, Maria Rita Passos-Bueno, Erick C. Castelli, Jhosiene Y. Magawa, Flávia L. Adami, Ana I. S. Moretti, Vivian L. de Oliveira, Silvia B. Boscardin, Edecio Cunha-Neto, Jorge Kalil, Emmanuelle Jouanguy, Paul Bastard, Jean-Laurent Casanova, Mauricio Quiñones-Vega, Patricia Sosa-Acosta, Jéssica de S. Guedes, Natália P. de Almeida, Fábio C. S. Nogueira, Gilberto B. Domont, Keity S. Santos, Mayana Zatz Immunity and Ageing, 2022
Modelling premature cardiac aging with induced pluripotent stem cells from a hutchinson-gilford Progeria Syndrome patient Gustavo Monnerat, Tais Hanae Kasai-Brunswick, Karina Dutra Asensi, Danubia Silva dos Santos, Raiana Andrade Quintanilha Barbosa, Fernanda Cristina Paccola Mesquita, Joao Paulo Calvancanti Albuquerque, Pires Ferreira Raphaela, Camila Wendt, Kildare Miranda, Gilberto Barbosa Domont, Fábio César Sousa Nogueira, Adriana Bastos Carvalho, Antonio Carlos Campos de Carvalho Frontiers in Physiology, 2022
Deep proteomic analysis on biobanked paraffine-archived melanoma with prognostic/predictive biomarker read-out Leticia Szadai, Erika Velasquez, Beáta Szeitz, Natália Pinto de Almeida, Gilberto Domont, Lazaro Hiram Betancourt, Jeovanis Gil, Matilda Marko-Varga, Henriett Oskolas, Ágnes Judit Jánosi, Maria del Carmen Boyano-Adánez, Lajos Kemény, Bo Baldetorp, Johan Malm, Peter Horvatovich, A. Marcell Szász, István Balázs Németh, György Marko-Varga Cancers, 2021
Mapping the melanoma plasma proteome (MPP) using single-shot proteomics interfaced with the WiMT database Natália Almeida, Jimmy Rodriguez, Indira Pla Parada, Yasset Perez-Riverol, Nicole Woldmar, Yonghyo Kim, Henriett Oskolas, Lazaro Betancourt, Jeovanis Gil Valdés, K. Barbara Sahlin, Luciana Pizzatti, A. Marcell Szasz, Sarolta Kárpáti, Roger Appelqvist, Johan Malm, Gilberto B. Domont, Fábio C. S. Nogueira, György Marko-Varga, Aniel Sanchez Cancers, 2021
Quantitative profiling of axonal guidance proteins during the differentiation of human neurospheres Livia Goto-Silva, Michele Martins, Jimmy Rodriguez Murillo, Leticia R.Q. Souza, Gabriela Vitória, Júlia T. Oliveira, Juliana M. Nascimento, Erick Correia Loiola, Fabio C.S. Nogueira, Gilberto B. Domont, Marília Zaluar P. Guimarães, Fernanda Tovar-Moll, Stevens Kastrup Rehen, Magno Junqueira Biochimica Et Biophysica Acta Proteins and Proteomics, 2021
A high-stringency blueprint of the human proteome Subash Adhikari, Edouard C. Nice, Eric W. Deutsch, Lydie Lane, Gilbert S. Omenn, Stephen R. Pennington, Young-Ki Paik, Christopher M. Overall, Fernando J. Corrales, Ileana M. Cristea, Jennifer E. Van Eyk, Mathias Uhlén, Cecilia Lindskog, Daniel W. Chan, Amos Bairoch, James C. Waddington, Joshua L. Justice, Joshua LaBaer, Henry Rodriguez, Fuchu He, Markus Kostrzewa, Peipei Ping, Rebekah L. Gundry, Peter Stewart, Sanjeeva Srivastava, Sudhir Srivastava, Fabio C. S. Nogueira, Gilberto B. Domont, Yves Vandenbrouck, Maggie P. Y. Lam, Sara Wennersten, Juan Antonio Vizcaino, Marc Wilkins, Jochen M. Schwenk, Emma Lundberg, Nuno Bandeira, Gyorgy Marko-Varga, Susan T. Weintraub, Charles Pineau, Ulrike Kusebauch, Robert L. Moritz, Seong Beom Ahn, Magnus Palmblad, Michael P. Snyder, Ruedi Aebersold, Mark S. Baker Nature Communications, 2020
Molecular alterations in the extracellular matrix in the brains of newborns with congenital Zika syndrome Sara Lovisa, Eliot Fletcher-Sananikone, Hikaru Sugimoto, Janine Hensel, Sharmistha Lahiri, Alexandre Hertig, Gangadhar Taduri, Erica Lawson, Rajan Dewar, Ignacio Revuelta, Noritoshi Kato, Chang-Jiun Wu, Roland L. Bassett, Nagireddy Putluri, Michael Zeisberg, Elisabeth M. Zeisberg, Valerie S. LeBleu, Raghu Kalluri Science Signaling, 2020
Novel functional proteins coded by the human genome discovered in metastases of melanoma patients Aniel Sanchez, Magdalena Kuras, Jimmy Rodriguez Murillo, Indira Pla, Krzysztof Pawlowski, A. Marcell Szasz, Jeovanis Gil, Fábio C. S. Nogueira, Yasset Perez-Riverol, Jonatan Eriksson, Roger Appelqvist, Tasso Miliotis, Yonghyo Kim, Bo Baldetorp, Christian Ingvar, Håkan Olsson, Lotta Lundgren, Henrik Ekedahl, Peter Horvatovich, Yutaka Sugihara, Charlotte Welinder, Elisabet Wieslander, Ho Jeong Kwon, Gilberto B. Domont, Johan Malm, Melinda Rezeli, Lazaro Hiram Betancourt, György Marko-Varga Cell Biology and Toxicology, 2020
Different signatures of high cardiorespiratory capacity revealed with metabolomic profiling in Elite Athletes Gustavo Monnerat, Carlos A.R. Sánchez, Caleb G.M. Santos, Dailson Paulucio, Rodolfo Velasque, Geisa P.C. Evaristo, Joseph A.M. Evaristo, Fabio C.S. Nogueira, Gilberto B. Domont, Mauricio Serrato, Antonio S. Lima, David Bishop, Antonio C. Campos de Carvalho, Fernando A.M.S. Pompeu International Journal of Sports Physiology and Performance, 2020
Fire ant venom alkaloids inhibit biofilm formation Danielle Bruno de Carvalho, Eduardo Gonçalves Paterson Fox, Diogo Gama dos Santos, Joab Sampaio de Sousa, Denise Maria Guimarães Freire, Fabio C. S. Nogueira, Gilberto B. Domont, Livia Vieira Araujo de Castilho, Ednildo de Alcântara Machado Toxins, 2019
It is time for top-down venomics Rafael D. Melani, Fabio C. S. Nogueira, Gilberto B. Domont Journal of Venomous Animals and Toxins Including Tropical Diseases, 2017
DiagnoProt: A tool for discovery of new molecules by mass spectrometry André R.F Silva, Diogo B Lima, Alejandro Leyva, Rosario Duran, Carlos Batthyany, Priscila F Aquino, Juliana C Leal, Jimmy E Rodriguez, Gilberto B Domont, Marlon D.M Santos, Julia Chamot-Rooke, Valmir C Barbosa, Paulo C Carvalho Bioinformatics, 2017
A time-based and intratumoral proteomic assessment of a recurrent glioblastoma multiforme Priscila F. de Aquino, Paulo Costa Carvalho, Fábio C. S. Nogueira, Clovis Orlando da Fonseca, Júlio Cesar Thomé de Souza Silva, Maria da Gloria da Costa Carvalho, Gilberto B. Domont, Nilson I. T. Zanchin, Juliana de Saldanha da Gama Fischer Frontiers in Oncology, 2016
CN-GELFrEE - Clear native gel-eluted liquid fraction entrapment electrophoresis Rafael D. Melani, Henrique S. Seckler, Owen S. Skinner, Luis H. F. Do Vale, Adam D. Catherman, Pierre C. Havugimana, Marcelo Valle de Sousa, Gilberto B. Domont, Neil L. Kelleher, Philip D. Compton Journal of Visualized Experiments, 2016
Combination of isoelectric point mass spectrometry and determination of the N-terminal amino acid of peptides for better protein identification in proteomics studies Anales De La Academia De Ciencias De Cuba, 2016
Quest for missing proteins: Update 2015 on chromosome-centric human proteome project Péter Horvatovich, Emma K. Lundberg, Yu-Ju Chen, Ting-Yi Sung, Fuchu He, Edouard C. Nice, Robert J. Goode, Simon Yu, Shoba Ranganathan, Mark S. Baker, Gilberto B. Domont, Erika Velasquez, Dong Li, Siqi Liu, Quanhui Wang, Qing-Yu He, Rajasree Menon, Yuanfang Guan, Fernando J. Corrales, Victor Segura, J. Ignacio Casal, Alberto Pascual-Montano, Juan P. Albar, Manuel Fuentes, Maria Gonzalez-Gonzalez, Paula Diez, Nieves Ibarrola, Rosa M. Degano, Yassene Mohammed, Christoph H. Borchers, Andrea Urbani, Alessio Soggiu, Tadashi Yamamoto, Ghasem Hosseini Salekdeh, Alexander Archakov, Elena Ponomarenko, Andrey Lisitsa, Cheryl F. Lichti, Ekaterina Mostovenko, Roger A. Kroes, Melinda Rezeli, Ákos Végvári, Thomas E. Fehniger, Rainer Bischoff, Juan Antonio Vizcaíno, Eric W. Deutsch, Lydie Lane, Carol L. Nilsson, György Marko-Varga, Gilbert S. Omenn, Seul-Ki Jeong, Jong-Sun Lim, Young-Ki Paik, William S. Hancock Journal of Proteome Research, 2015
Inter-laboratory evaluation of instrument platforms and experimental workflows for quantitative accuracy and reproducibility assessment Andrew J. Percy, Jessica Tamura-Wells, Juan Pablo Albar, Kerman Aloria, Ardeshir Amirkhani, Gabriel D.T. Araujo, Jesus M. Arizmendi, Francisco J. Blanco, Francesc Canals, Jin-Young Cho, Núria Colomé-Calls, Fernando J. Corrales, Gilberto Domont, Guadalupe Espadas, Patricia Fernandez-Puente, Concha Gil, Paul A. Haynes, Maria Luisa Hernáez, Jin Young Kim, Arthur Kopylov, Miguel Marcilla, Mathew J. McKay, Mehdi Mirzaei, Mark P. Molloy, Leanne B. Ohlund, Young-Ki Paik, Alberto Paradela, Mark Raftery, Eduard Sabidó, Lekha Sleno, Daniel Wilffert, Justina C. Wolters, Jong Shin Yoo, Victor Zgoda, Carol E. Parker, Christoph H. Borchers Eupa Open Proteomics, 2015
Unraveling the processing and activation of snake venom metalloproteinases José A. Portes-Junior, Norma Yamanouye, Sylvia M. Carneiro, Paloma S. Knittel, Sávio S. Sant’Anna, Fabio C. S. Nogueira, Magno Junqueira, Geraldo S. Magalhães, Gilberto B. Domont, Ana M. Moura-da-Silva Journal of Proteome Research, 2014
Proteome analysis of plastids from developing seeds of Jatropha curcas L. Camila B. Pinheiro, Mohibullah Shah, Emanoella L. Soares, Fábio C. S. Nogueira, Paulo C. Carvalho, Magno Junqueira, Gabriel D. T. Araújo, Arlete A. Soares, Gilberto B. Domont, Francisco A. P. Campos Journal of Proteome Research, 2013
Major heparin-binding proteins of the seminal plasma from Morada Nova rams Jorge André Matias Martins, Carlos Eduardo Azevedo Souza, Fredy David Albuquerque Silva, Verónica Gonzalez Cadavid, Fabio César Nogueira, Gilberto Barbosa Domont, José Tadeu Abreu de Oliveira, Arlindo A. Moura Small Ruminant Research, 2013
Are gastric cancer resection margin proteomic profiles more similar to those from controls or tumors? Priscila F. Aquino, Juliana S. G. Fischer, Ana G. C. Neves-Ferreira, Jonas Perales, Gilberto B. Domont, Gabriel D. T. Araujo, Valmir C. Barbosa, Jucilana Viana, Sidney R. S. Chalub, Antonia Q. Lima de Souza, Maria G. C. Carvalho, Afonso D. Leão de Souza, Paulo C. Carvalho Journal of Proteome Research, 2012
Proteomic analysis of the reproductive tract fluids from tropically-adapted Santa Ines rams Carlos Eduardo A. Souza, João Paulo A. Rego, Carlos H. Lobo, José Tadeu A. Oliveira, Fábio C.S. Nogueira, Gilberto B. Domont, Mariana Fioramonte, Fabio C. Gozzo, Frederico B. Moreno, Ana Cristina O. Monteiro-Moreira, José Ricardo Figueiredo, Arlindo A. Moura Journal of Proteomics, 2012
Analysis of the salivary proteome in gingivitis patients L. da R. Gonçalves, M. R. Soares, F. C. S. Nogueira, C. H. S. Garcia, D. R. Camisasca, G. Domont, A. C. R. Feitosa, D. A. Pereira, R. B. Zingali, G. Alves Journal of Periodontal Research, 2011
Proteomic analysis of urine in rats chronically exposed to fluoride Claudia Ayumi Nakai Kobayashi, Aline de Lima Leite, Thelma Lopes da Silva, Lucilene Delazari dos Santos, Fábio César Sousa Nogueira, Keity Souza Santos, Rodrigo Cardoso de Oliveira, Mario Sérgio Palma, Gilberto Barbosa Domont, Marília Afonso Rabelo Buzalaf Journal of Biochemical and Molecular Toxicology, 2011
Proteome analysis of castor bean seeds Francisco A. P. Campos, Fabio C. S. Nogueira, Kiara C. Cardoso, Gustavo C. L. Costa, Luiz E. V. Del Bem, Gilberto B. Domont, Marcio J. Da Silva, Raquel C. Moreira, Arlete A. Soares, Tiago L. Jucá Pure and Applied Chemistry, 2010
Proteomic analysis of kidney in rats chronically exposed to fluoride Claudia A.N. Kobayashi, Aline L. Leite, Thelma L. Silva, Lucilene D. Santos, Fábio C.S. Nogueira, Rodrigo C. Oliveira, Mario S. Palma, Gilberto B. Domont, Marília A.R. Buzalaf Chemico Biological Interactions, 2009
Bothrops insularis venomics: A proteomic analysis supported by transcriptomic-generated sequence data Richard H. Valente, Patrícia R. Guimarães, Magno Junqueira, Ana Gisele C. Neves-Ferreira, Márcia R. Soares, Alex Chapeaurouge, Monique R.O. Trugilho, Ileana R. León, Surza L.G. Rocha, Ana Lucia Oliveira-Carvalho, Luciana S. Wermelinger, Denis L.S. Dutra, Luciana I. Leão, Inácio L.M. Junqueira-de-Azevedo, Paulo L. Ho, Russolina B. Zingali, Jonas Perales, Gilberto B. Domont Journal of Proteomics, 2009
Anti-thrombin as a prognostic biomarker candidate for patients with recurrent glioblastoma multiform under treatment with perillyl alcohol Journal of Experimental Therapeutics and Oncology, 2008
Differential protein expression patterns obtained by mass spectrometry can aid in the diagnosis of Hodgkin's disease Journal of Experimental Therapeutics and Oncology, 2007
Expression, purification, and circular dichroism analysis of human CDK9 Andreia Machado Leopoldino, Fernanda Canduri, Hamilton Cabral, Magno Junqueira, Alessandra Bernadete Trovó de Marqui, Luciano H. Apponi, Isabel Osório da Fonseca, Gilberto Barbosa Domont, Diógenes S. Santos, Sandro Valentini, Gustavo Orlando Bonilla-Rodriguez, Marcelo Andrés Fossey, Walter Filgueira de Azevedo, Eloiza Helena Tajara Protein Expression and Purification, 2006
Differential proteomic serum pattern of low molecular weight proteins expressed by adenocarcinoma lung cancer patients Journal of Experimental Therapeutics and Oncology, 2005
Structural studies on allergen RC-13 from Ricinus communis L.: isolation and characterization of a major glycopeptide. Anais Da Academia Brasileira De Ciencias, 1990
Partial characterization of RC-13, a homogeneous fraction isolated from castor bean allergens (CB-1A). Anais Da Academia Brasileira De Ciencias, 1987
Fractionation of castor bean allergens (CB-1A). Isolation of RC-13, a homogeneous allergenic fraction. Anais Da Academia Brasileira De Ciencias, 1985
Chemical and physicochemical characterization of CB-1a, an allergenic fraction isolated from castor bean (Ricinus communis L.). Anais Da Academia Brasileira De Ciencias, 1984
