Sarah Picaud,Panagis Filippakopoulos
Sarah Picaud
Post translational modifications have been recognized as chemical signals that create docking sites for evolutionary conserved effector modules, allowing for signal integration within large networks of interactions. Lysine acetylation in pa...
Identification of Copy Number Aberrations in Breast Cancer Subtypes Using Persistence Topology [0.03%]
利用持久同调识别乳腺癌亚型中的拷贝数异常
Javier Arsuaga,Tyler Borrman,Raymond Cavalcante et al.
Javier Arsuaga et al.
DNA copy number aberrations (CNAs) are of biological and medical interest because they help identify regulatory mechanisms underlying tumor initiation and evolution. Identification of tumor-driving CNAs (driver CNAs) however remains a chall...
Data Mining of Gene Arrays for Biomarkers of Survival in Ovarian Cancer [0.03%]
基因数据挖掘在卵巢癌生存生物标记物中的应用
Clare Coveney,David J Boocock,Robert C Rees et al.
Clare Coveney et al.
The expected five-year survival rate from a stage III ovarian cancer diagnosis is a mere 22%; this applies to the 7000 new cases diagnosed yearly in the UK. Stratification of patients with this heterogeneous disease, based on active molecul...
Manish Biyani,Takanori Ichiki
Manish Biyani
Advances in lithographic approaches to fabricating bio-microarrays have been extensively explored over the last two decades. However, the need for pattern flexibility, a high density, a high resolution, affordability and on-demand fabricati...
"Upstream Analysis": An Integrated Promoter-Pathway Analysis Approach to Causal Interpretation of Microarray Data [0.03%]
“上游分析”：一种整合启动子通路的微阵列数据因果解释方法
Jeannette Koschmann,Anirban Bhar,Philip Stegmaier et al.
Jeannette Koschmann et al.
A strategy is presented that allows a causal analysis of co-expressed genes, which may be subject to common regulatory influences. A state-of-the-art promoter analysis for potential transcription factor (TF) binding sites in combination wit...
Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks [0.03%]
微阵列数据集成：基因调控网络的增强推断
Alina Sîrbu,Martin Crane,Heather J Ruskin
Alina Sîrbu
Microarray technologies have been the basis of numerous important findings regarding gene expression in the few last decades. Studies have generated large amounts of data describing various processes, which, due to the existence of public d...
Re-Punching Tissue Microarrays Is Possible: Why Can This Be Useful and How to Do It [0.03%]
二次制作组织芯片是可行的：为何有用及如何操作
Aurélien Lacombe,Vincenza Carafa,Sandra Schneider et al.
Aurélien Lacombe et al.
Tissue microarray (TMA) methodology allows the concomitant analysis of hundreds of tissue specimens arrayed in the same manner on a recipient block. Subsequently, all samples can be processed under identical conditions, such as antigen retr...
Amir Syahir,Kenji Usui,Kin-Ya Tomizaki et al.
Amir Syahir et al.
Protein microarray technology has gone through numerous innovative developments in recent decades. In this review, we focus on the development of protein detection methods embedded in the technology. Early microarrays utilized useful chromo...
Paula Díez,María González-González,Lucía Lourido et al.
Paula Díez et al.
Nucleic Acid Programmable Protein Arrays (NAPPA) have emerged as a powerful and innovative technology for the screening of biomarkers and the study of protein-protein interactions, among others possible applications. The principal advantage...
Sarah Schumacher,Sandra Muekusch,Harald Seitz
Sarah Schumacher
This review addresses up-to-date applications of Protein Microarrays. Protein Microarrays play a significant role in basic research as well as in clinical applications and are applicable in a lot of fields, e.g., DNA, proteins and small mol...