Foundational characteristics of cancer include proliferation, angiogenesis, migration, evasion of apoptosis, and cellular immortality. Find key markers for these cellular processes and antibodies to detect them.
The SUMOplot™ Analysis Program predicts and scores sumoylation sites in your protein. SUMOylation is a post-translational modification involved in various cellular processes, such as nuclear-cytosolic transport, transcriptional regulation, apoptosis, protein stability, response to stress, and progression through the cell cycle.
The Autophagy Receptor Motif Plotter predicts and scores autophagy receptor binding sites in your protein. Identifying proteins connected to this pathway is critical to understanding the role of autophagy in physiological as well as pathological processes such as development, differentiation, neurodegenerative diseases, stress, infection, and cancer.Autophagy Receptor Motif PlotterDeveloped by Abcepta, Copyright © 2014 -2025
The autophagy pathway is mediated by selective receptors. They recognize and sort diverse cargo substrates (e.g., proteins, organelles, pathogens) for delivery to the autophagic machinery. Known autophagy receptors are characterized by short linear sequence motifs (autophagy receptor motifs, or ARMs) responsible for the interaction with the Atg8/LC3 family. Many ARM-containing proteins (ARM-CPs) are also involved in autophagosome formation and maturation and a few of them in regulating signaling pathways. The availability of an ever-increasing number of complete eukaryotic genomes poses a grand challenge for characterizing novel ARM-CPs. ARM, a freely available web resource developed by Abcepta scientists, assists in the identification of novel ARM-CPs. Users input a given an amino acid sequence into the web-enabled tool, and ARM identifies internal sequences matching a pattern within the 3 classes of the extended ARM motif (x6-W/F/Yxxx-x2). The program then computes and lists the top four scores for each motif class (W-, F-, Y-). The full sequence of the ARM-CP is displayed, where ARMs are colored by their score and ranked score-values are presented in tabular form. Users citing this tool when used in the development of a publication are recommended to adhere to the rules of the publishing entity in referring to this resource.
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Noda et al (2010) FEBS Letters 584: 1379-85 PMID:20083108 Birgisdottir et al (2013) J Cell Sci 126: 3237-47 PMID:23908376 Rogov et al (2014) Molecular Cell 53: 167-78 PMID:24462201 |
