Dataset Information

Fibrinogen-like protein 1 is a novel biomarker for predicting disease activity and prognosis of rheumatoid arthritis

ABSTRACT: A total of 762 proteins were identified from 35 pooled rheumatoid arthritis (RA) patients with moderate to high disease activity and 60 pooled healthy serum samples. Among them, 142 proteins including 68 up-regulation and 74 down-regulation were identified in RA compared to healthy subjects.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

SUBMITTER: zhou wei

LAB HEAD: Wei Zhou

PROVIDER: PXD021689 | Pride | 2021-09-09

REPOSITORIES: Pride

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Publications

Fibrinogen-Like Protein 1 Is a Novel Biomarker for Predicting Disease Activity and Prognosis of Rheumatoid Arthritis.

Liu Shijia S Guo Yunke Y Lu Lu L Lu Jiawei J Ke Mengying M Xu Tingting T Lu Yan Y Chen Wenjun W Wang Jue J Kong Deshun D Shen Qiuxiang Q Zhu Youjuan Y Tan WenFeng W Ji Wei W Zhou Wei W

Frontiers in immunology 20201006

Rheumatoid arthritis (RA), afflicting over 1% of the population, is an inflammatory joint disease leading to cartilage damage and ultimately impaired joint function. Disease-modifying anti-rheumatic drugs are considered as the first-line treatment to inhibit the progression of RA, and the treatment depends on the disease status assessment. The disease activity score 28 as clinical gold standard is extensively used for RA assessment, but it has the limitations of delayed assessment and the need f ...[more]

PMID: 33123164

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Project description:It is generally accepted that human cancers derive from a mutated single cell. However, the genetic steps characterizing various stages of progression remain unclear. Studying a unique case of metastatic melanoma, we observed that cell lines derived from metachronous metastases arising over a decade retained a central core of genetic stability in spite of divergent phenotypes. In the present study we expanded our previous observations comparing these autologous cell lines of clonal derivation with heterologous ones and correlated array Comparative Genomic Hybridization (aCGH) with gene expression profiling to determine their relative contribution to the dynamics of disease progression. aCGH and gene expression profiling were performed on autologous cell lines and heterologous melanoma cell lines originated from other patients. A striking correlation existed between total extent of genetic imbalances, global transcriptional patterns and cellular phenotypes; they did not follow a strict temporal progression but stemmed independently at various time points from a central core of genetic stability best explained according to the cancer stem cell hypothesis; although their contribution was intertwined, genomic imbalances detectable by aCGH contributed only 25% of the transcriptional traits determining autologous tumors distinctiveness. Our study provides important insights about the dynamics of cancer progression and supports the development of targeted anti-cancer therapies against stable genetic factors determining the individuality of each patientâs disease that are maintained throughout the end stage of disease. Keywords: genetic modification design PBMC from a female donor were Ficoll gradient separated and used throughout the study as reference.. Validation of array CGH accuracy was done by obtaining six additional PBMC from female donors and six PBMC from male donors to confirm stability of gene representation in autosomes and sex-determined imbalances within the X and Y chromosome regions. Five melanoma cell lines were generated from distinct cutaneous melanoma metastases that progressively appeared in patient 888. Other melanoma cell lines were generated from cutaneous melanoma metastases from other patients. The melanoma cell line A375 was purchased from the American Type Culture Collection. For each cell line arrayCGh has been performed.

Dataset Information

Fibrinogen-like protein 1 is a novel biomarker for predicting disease activity and prognosis of rheumatoid arthritis

Publications

Fibrinogen-Like Protein 1 Is a Novel Biomarker for Predicting Disease Activity and Prognosis of Rheumatoid Arthritis.

Similar Datasets

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