Revealing Missing Human Protein Isoforms Based on Ab Initio Prediction, RNA-seq and Proteomics

In this project, we design a methods to detect novel transcripts integrating ab initio prediction on genomic sequences and filtration with various RNA-seq data. 100 splice sites were selected and RT-PCR on 48 human tissues and cell lines (including a blank negative control) were conducted. The product of the same tissue or cell line were mixed and sequenced with Illumina Mi-seq.

Rights

CC BY 4.0

Data and Resources

Additional Info

Field Value
Theme
Author Zhiqiang Hu (733127), Hamish S. Scott (225858), Guangrong Qin (594367), Guangyong Zheng (525067), Xixia Chu (734060), Lu Xie (55571), David L. Adelson (110514), Bergithe E Oftedal (734061), Parvathy Venugopal (734062), Milena Babic (734063), Christopher N Hahn (734064), Bing Zhang (129), Xiaojing Wang (147040), Nan Li (155066), Chaochun Wei (2214)
Maintainer
Source https://figshare.com/articles/dataset/Revealing_Missing_Human_Protein_Isoforms_Based_on_Ab_Initio_Prediction_RNA_seq_and_Proteomics/1402048
Source Created 2015-05-04T08:14:32Z
Source Modified 2015-05-04T08:14:32
Language English
Spatial
Source Identifier 10.6084/m9.figshare.1402048.v31
Dataset metadata created 1 August 2019, last updated 4 October 2022