Increased expression of peptides from non-coding genes in cancer proteomics datasets suggests potential tumor neoantigens
Rong Xiang et al. analyze the expression of non-coding genes encoded peptides in publicly-available proteomics data from five cancer types and matched controls. They identify peptides from non-coding genes including DGCR9 and RHOXF1P3 that are upregulated in tumors compared to controls, suggesting t...
Guardado en:
Autores principales: | Rong Xiang, Leyao Ma, Mingyu Yang, Zetian Zheng, Xiaofang Chen, Fujian Jia, Fanfan Xie, Yiming Zhou, Fuqiang Li, Kui Wu, Yafeng Zhu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5a2014fe6a764b6aa63f10f649986208 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Neoantigens elicit T cell responses in breast cancer
por: Takafumi Morisaki, et al.
Publicado: (2021) -
Protein citrullination as a source of cancer neoantigens
por: Makoto Kobayashi, et al.
Publicado: (2021) -
Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds
por: Deborah O. Dele-Oni, et al.
Publicado: (2021) -
Dinosaur peptides suggest mechanisms of protein survival.
por: James D San Antonio, et al.
Publicado: (2011) -
Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
por: Bo Wen, et al.
Publicado: (2020)