日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Severe Asthma Exacerbations: From Risk Factors to Precision Management Strategies

严重哮喘急性发作:从风险因素到精准管理策略

Paredes, Marina; Osorio, Jeisson; García de la Fuente, Alberto; Rodríguez, Elena; Picado, César; Ojanguren, Iñigo; Arismendi, Ebymar

A multi-omics approach reveals dysregulated TNF-related signaling pathways in circulating NK and T cell subsets of young children with autism

多组学方法揭示了自闭症幼儿循环NK细胞和T细胞亚群中TNF相关信号通路失调

Nour-Eldine, Wared; Ltaief, Samia M; Ouararhni, Khalid; Abdul Manaph, Nimshitha P; de la Fuente, Alberto; Bensmail, Ilham; Abdesselem, Houari B; Al-Shammari, Abeer R

A multi-omics reciprocal analysis for characterization of bacterial metabolism

多组学互惠分析用于表征细菌代谢

Arini, Gabriel Santos; Borelli, Tiago Cabral; Ferreira, Elthon Góis; de Felício, Rafael; Rezende-Teixeira, Paula; Pedrino, Matheus; Rabiço, Franciene; de Siqueira, Guilherme Marcelino Viana; Mencucini, Luiz Gabriel; Tsuji, Henrique; Neves Andrade, Lucas Sousa; Garrido, Leandro Maza; Padilla, Gabriel; Gil-de-la-Fuente, Alberto; Wang, Mingxun; Lopes, Norberto Peporine; Barbosa Trivella, Daniela Barretto; Costa-Lotufo, Letícia Veras; Guazzaroni, María-Eugenia; Roberto da Silva, Ricardo

An evaluation methodology for machine learning-based tandem mass spectra similarity prediction

一种基于机器学习的串联质谱相似性预测评估方法

Strobel, Michael; Gil-de-la-Fuente, Alberto; Zare Shahneh, Mohammad Reza; Abiead, Yasin El; Bushuiev, Roman; Bushuiev, Anton; Pluskal, Tomáš; Wang, Mingxun

Next Decade Research in Asthma: Broad Omics-Based Exploration Versus Targeted Airway Epithelium Studies

哮喘研究未来十年展望:基于组学的广泛探索与靶向气道上皮研究

Picado, César; Garcia de la Fuente, Alberto; Arismendi, Ebymar; Roca-Ferrer, Jordi

Proteomics analysis of extracellular vesicles for biomarkers of autism spectrum disorder

利用蛋白质组学分析细胞外囊泡寻找自闭症谱系障碍的生物标志物

Ali Moussa, Houda Yasmine; Shin, Kyung Chul; de la Fuente, Alberto; Bensmail, Ilham; Abdesselem, Houari B; Ponraj, Janarthanan; Mansour, Said; Al-Shaban, Fouad A; Stanton, Lawrence W; Abdulla, Sara A; Park, Yongsoo

Blood Proteomics Analysis Reveals Potential Biomarkers and Convergent Dysregulated Pathways in Autism Spectrum Disorder: A Pilot Study

血液蛋白质组学分析揭示自闭症谱系障碍的潜在生物标志物和趋同的失调通路:一项初步研究

Mesleh, Areej; Ehtewish, Hanan; de la Fuente, Alberto; Al-Shamari, Hawra; Ghazal, Iman; Al-Faraj, Fatema; Al-Shaban, Fouad; Abdesselem, Houari B; Emara, Mohamed; Alajez, Nehad M; Arredouani, Abdelilah; Decock, Julie; Albagha, Omar; Stanton, Lawrence W; Abdulla, Sara A; El-Agnaf, Omar M A

Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia

基于血液的蛋白质组学分析可识别痴呆症的潜在生物标志物候选物和致病通路

Ehtewish, Hanan; Mesleh, Areej; Ponirakis, Georgios; De la Fuente, Alberto; Parray, Aijaz; Bensmail, Ilham; Abdesselem, Houari; Ramadan, Marwan; Khan, Shafi; Chandran, Mani; Ayadathil, Raheem; Elsotouhy, Ahmed; Own, Ahmed; Al Hamad, Hanadi; Abdelalim, Essam M; Decock, Julie; Alajez, Nehad M; Albagha, Omar; Thornalley, Paul J; Arredouani, Abdelilah; Malik, Rayaz A; El-Agnaf, Omar M A

Integrating the potential of ion mobility spectrometry-mass spectrometry in the separation and structural characterisation of lipid isomers

将离子迁移谱-质谱联用技术应用于脂质异构体的分离和结构表征

Camunas-Alberca, Sandra M; Moran-Garrido, Maria; Sáiz, Jorge; Gil-de-la-Fuente, Alberto; Barbas, Coral; Gradillas, Ana

A rigorous in silico genomic interrogation at 1p13.3 reveals 16 autosomal dominant candidate genes in syndromic neurodevelopmental disorders

对1p13.3区域进行严谨的计算机基因组分析,揭示了16个与综合征性神经发育障碍相关的常染色体显性候选基因。

Ben-Mahmoud, Afif; Jun, Kyung Ran; Gupta, Vijay; Shastri, Pinang; de la Fuente, Alberto; Park, Yongsoo; Shin, Kyung Chul; Kim, Chong Ae; da Cruz, Aparecido Divino; Pinto, Irene Plaza; Minasi, Lysa Bernardes; Silva da Cruz, Alex; Faivre, Laurence; Callier, Patrick; Racine, Caroline; Layman, Lawrence C; Kong, Il-Keun; Kim, Cheol-Hee; Kim, Woo-Yang; Kim, Hyung-Goo