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

Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study

基于真实世界和基因组数据的哮喘网络分析研究(REGAIN 研究):一项新型回顾性和前瞻性纵向哮喘队列研究方案

Kasarskis, Andrew; Wang, Eileen; Bryce, Paul J; Savic, Radoslav; Pan, Qi; Weisman, Rachelle; Barnhart, Ellen; Sifuentes, Andrea; Mosso, Eliseo; Zhang, Lu; Lee, Eunjee; Zhang, Zhongyang; Hao, Ke; Schadt, Eric; Nestle, Frank; de Rinaldis, Emanuele; Rogers, Linda

Genetic liability to psoriasis predicts severe disease outcomes

银屑病遗传易感性预示着严重的疾病后果。

Saklatvala, Jake R; Lessard, Samuel; Teder-Laving, Maris; Thomas, Laurent F; Ramessur, Ravi; Zierer, Jonas; Åsvold, Bjørn Olav; Barton, Anne; Baudry, David; Bowes, John; Brumpton, Ben; Bruno, Sandro; Chandran, Vinod; Chatelain, Clément; de Rinaldis, Emanuele; Elder, James T; Ellinghaus, David; Foerster, John; Franke, Andre; Gladman, Dafna D; Gulliver, Wayne; Hüffmeier, Ulrike; Huilaja, Laura; Hveem, Kristian; Khader, Shameer; Kingo, Külli; Klinger, Katherine; Kolbinger, Frank; Kõks, Sulev; Liao, Wilson; Nair, Rajan P; Nititham, Joanne; Rahman, Proton; Reis, André; Sagoo, Manpreet K; Stuart, Philip E; Tasanen, Kaisa; Traks, Tanel; Tsoi, Lam C; Uebe, Steffen; Watts, Katie; Barker, Jonathan N; Mahil, Satveer K; Langan, Sinéad M; Brown, Sara J; Løset, Mari; Paternoster, Lavinia; Dand, Nick; Smith, Catherine H; Simpson, Michael A

Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients

深度学习揭示了与癌症患者疾病侵袭性相关的YAP1/TEAD活性组织学模式

Schmauch, Benoit; Cabeli, Vincent; Domingues, Omar Darwiche; Le Douget, Jean-Eudes; Hardy, Alexandra; Belbahri, Reda; Maussion, Charles; Romagnoni, Alberto; Eckstein, Markus; Fuchs, Florian; Swalduz, Aurélie; Lantuejoul, Sylvie; Crochet, Hugo; Ghiringhelli, François; Derangere, Valentin; Truntzer, Caroline; Pass, Harvey; Moreira, Andre L; Chiriboga, Luis; Zheng, Yuanning; Ozawa, Michael; Howitt, Brooke E; Gevaert, Olivier; Girard, Nicolas; Rexhepaj, Elton; Valtingojer, Iris; Debussche, Laurent; de Rinaldis, Emanuele; Nestle, Frank; Spanakis, Emmanuel; Fantin, Valeria R; Durand, Eric Y; Classe, Marion; Von Loga, Katharina; Pronier, Elodie; Cesaroni, Matteo

Molecular subtypes explain lupus epigenomic heterogeneity unveiling new regulatory genetic risk variants

分子亚型解释了狼疮表观基因组异质性,揭示了新的调控遗传风险变异

Castellini-Pérez, Olivia; Povedano, Elena; Barturen, Guillermo; Martínez-Bueno, Manuel; Iakovliev, Andrii; Kerick, Martin; López-Domínguez, Raúl; Marañón, Concepción; Martín, Javier; Ballestar, Esteban; Borghi, María Orietta; Qiu, Weiliang; Zhu, Cheng; Shankara, Srinivas; Spiliopoulou, Athina; de Rinaldis, Emanuele; Carnero-Montoro, Elena; Alarcón-Riquelme, Marta E

GENIX enables comparative network analysis of single-cell RNA sequencing to reveal signatures of therapeutic interventions.

GENIX 能够对单细胞 RNA 测序进行比较网络分析,从而揭示治疗干预的特征

Nouri Nima, Gaglia Giorgio, Mattoo Hamid, de Rinaldis Emanuele, Savova Virginia

Leveraging large-scale multi-omics evidences to identify therapeutic targets from genome-wide association studies

利用大规模多组学证据从全基因组关联研究中识别治疗靶点

Lessard, Samuel; Chao, Michael; Reis, Kadri; Beauvais, Mathieu; Rajpal, Deepak K; Sloane, Jennifer; Palta, Priit; Klinger, Katherine; de Rinaldis, Emanuele; Shameer, Khader; Chatelain, Clément

Genetic analyses of inflammatory polyneuropathy and chronic inflammatory demyelinating polyradiculoneuropathy identified candidate genes

对炎症性多发性神经病和慢性炎症性脱髓鞘性多发性神经根神经病的基因分析鉴定出了候选基因。

Du, Zhaohui; Lessard, Samuel; Iyyanki, Tejaswi; Chao, Michael; Hammond, Timothy; Ofengeim, Dimitry; Klinger, Katherine; de Rinaldis, Emanuele; Shameer, Khader; Chatelain, Clément

Novel biomarkers of preterm brain injury from blood transcriptome in sheep model of intrauterine asphyxia

绵羊宫内窒息模型血液转录组中早产儿脑损伤的新型生物标志物

Ek, C Joakim; Alkmark, Mårten; Baburamani, Ana A; Supramaniam, Veena G; Sood, Sanjana; Melchiotti, Rossella; de Rinaldis, Emanuele; Hagberg, Henrik; Mallard, Carina

Immune disease dialogue of chemokine-based cell communications as revealed by single-cell RNA sequencing meta-analysis.

单细胞 RNA 测序荟萃分析揭示了基于趋化因子的细胞通讯在免疫疾病中的对话

Rahman Mouly F, Kurlovs Andre H, Vodnala Munender, Meibalan Elamaran, Means Terry K, Nouri Nima, de Rinaldis Emanuele, Savova Virginia

A marker gene-based method for identifying the cell-type of origin from single-cell RNA sequencing data

一种基于标记基因的单细胞RNA测序数据细胞类型鉴定方法

Nouri, Nima; Gaglia, Giorgio; Kurlovs, Andre H; de Rinaldis, Emanuele; Savova, Virginia