Proteomics

Dataset Information

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General proteomics and lactylation-modified proteomics were used to detect 5 cases of prostate cancer tissues and 5 cases of benign prostatic hyperplasia tissues

ABSTRACT: Proteomic sequencing was performed on 5 prostate cancer patient tissues and 5 benign prostatic hyperplasia patient tissues collected from Beijing Tongren Hospital Affiliated to Capital Medical University. Differential genes related to the prognosis of prostate cancer were identified, and enrichment analysis was conducted on prostate cancer patients based on these genes to clarify the biological functions in prostate cancer cells that significantly affect cancer cell progression. Lactylation modification proteomic sequencing revealed the sites in prostate cancer that promote prostate cancer progression due to lactylation modification, providing potential therapeutic methods for the treatment of prostate cancer.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Prostate Gland Epithelium, Prostate Cancer Cell Line

SUBMITTER: zou fan  

LAB HEAD: Fan Zou

PROVIDER: PXD066054 | Pride | 2026-01-23

REPOSITORIES: Pride

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Dataset's files

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Action DRS
XB08700B1DA_NAT1_Slot2-20_1_15621.d.zip Other
XB08700B1DA_NAT2_Slot2-21_1_15622.d.zip Other
XB08700B1DA_NAT3_Slot2-22_1_15625.d.zip Other
XB08700B1DA_NAT4_Slot2-23_1_15627.d.zip Other
XB08700B1DA_NAT5_Slot2-24_1_15629.d.zip Other
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Publications

Construction of lactylation (LA) risk signature in prostate cancer based on 4D fast DIA L-lactated quantitative genomics.

Zou Fan F   Jin Yongchen Y   Zhang Ziteng Z   Zhang Yishan Y   Wang Mingdong M   Zhu Fangge F   Qiu Jinming J   Ye Haoyuan H   Fu Yi Y   Ping Hao H  

Journal of translational medicine 20250828 1

<h4>Background</h4>Lactylation (LA) plays a crucial role in regulating protein stability, angiogenesis, and immune modulation. Global lactylation of proteins in prostate cancer cells is a key event in tumor progression. This study aimed to explore the characteristics of LA in patients with prostate cancer (PRAD) and construct a LA-related risk model to predict prognosis.<h4>Methods</h4>LA-related genes in prostate cancer were screened through quantitative lactylation proteomics of human tissues  ...[more]

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