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What factors contribute to proteome heterogeneity in blood especially in cancer? 


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Proteome heterogeneity in cancer, particularly in blood, is influenced by various factors. Tumor heterogeneity within solid malignancies, including the presence of non-tumor cellular populations like immune cells, significantly impacts proteomic diversity . Additionally, the dynamic changes in gene and protein expression within colorectal tumors, both intratumor and intertumor, contribute to proteome heterogeneity in cancer . Epigenetic modifications, such as DNA methylation and histone remodeling, can lead to the emergence of multiple phenotypic states, wider kinetic distributions, and increased protein concentration fluctuations, further enhancing cancer heterogeneity at the molecular level . Integrating multi-omic datasets through methods like Multi-Omics Factor Analysis (MOFA) can uncover hidden sources of variation, shedding light on the complex proteomic landscape in cancer, including blood-related malignancies .

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Open accessJournal ArticleDOI
Cong Chen, Jin Wang, Jin Wang 
08 Feb 2016-Scientific Reports
30 Citations
Epigenetic factors like DNA methylation and histone modifications, along with slower protein regulation compared to synthesis and degradation, contribute to proteome heterogeneity in cancer blood samples.
Tumour proteome heterogeneity in blood, particularly in cancer, is influenced by the complex interplay of tumour and non-tumour cellular populations, reflecting the intricate tumour microenvironment.
Journal ArticleDOI
Lay Cheng Lim, Yang Mooi Lim 
01 Feb 2018-Proteomics
11 Citations
Proteome heterogeneity in blood, especially in cancer, is influenced by dynamic changes in gene and protein expression, tumor subtypes, and variations between primary and metastatic sites.
Single-cell proteomics reveals diverse protein fluctuations in cancer cells, influencing proliferation, metastasis, and therapy resistance. This heterogeneity impacts cancer progression and treatment outcomes in blood samples.
Multi-Omics Factor Analysis (MOFA) identifies factors driving proteome heterogeneity in blood cancer, including known factors like IGHV status and novel factors like response to oxidative stress.

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