EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Proteomics Unit, Centre for Genomic Regulation (CRG), 08003 Barcelona and Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Proteomics Unit, Centre for Genomic Regulation (CRG), 08003 Barcelona and Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain.
EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Proteomics Unit, Centre for Genomic Regulation (CRG), 08003 Barcelona and Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Proteomics Unit, Centre for Genomic Regulation (CRG), 08003 Barcelona and Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Proteomics Unit, Centre for Genomic Regulation (CRG), 08003 Barcelona and Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain.
Bioinformatics. 2014 Oct 15;30(20):2989-90. doi: 10.1093/bioinformatics/btu428. Epub 2014 Jul 4.
In proteomes of higher eukaryotes, many alternative splice variants can only be detected by their shared peptides. This makes it highly challenging to use peptide-centric mass spectrometry to distinguish and to quantify protein isoforms resulting from alternative splicing events.
We have developed two complementary algorithms based on linear mathematical models to efficiently compute a minimal set of shared and unique peptides needed to quantify a set of isoforms and splice variants. Further, we developed a statistical method to estimate the splice variant abundances based on stable isotope labeled peptide quantities. The algorithms and databases are integrated in a web-based tool, and we have experimentally tested the limits of our quantification method using spiked proteins and cell extracts.
The TAPAS server is available at URL http://davinci.crg.es/tapas/.
luis.serrano@crg.eu or christina.kiel@crg.eu
Supplementary data are available at Bioinformatics online.
在高等真核生物的蛋白质组中,许多选择性剪接变体只能通过它们共有的肽段来检测。这使得使用基于肽段的质谱技术来区分和定量由选择性剪接事件产生的蛋白质同工型变得极具挑战性。
我们开发了两种基于线性数学模型的互补算法,可有效地计算出一组同工型和剪接变体所需的最小共享和独特肽段集。此外,我们还开发了一种基于稳定同位素标记肽段数量的统计方法来估计剪接变体的丰度。该算法和数据库集成在一个基于网络的工具中,我们使用添加的蛋白质和细胞提取物实验测试了我们的定量方法的极限。
TAPAS 服务器可在 URL http://davinci.crg.es/tapas/ 上获取。
luis.serrano@crg.eu 或 christina.kiel@crg.eu
补充数据可在 Bioinformatics 在线获取。