Autor: |
Salazar, Ivan L., Louren��o, Ana S. T., Manadas, Bruno, Baldeiras, In��s, Ferreira, Cl��udia, Teixeira, Anabela Claro, Mendes, Vera M., Novo, Ana Margarida, Machado, Rita, Batista, S��nia, Mac��rio, Maria do Carmo, Gr��os, M��rio, Sousa, L��via, Saraiva, Maria Jo��o, Pais, Alberto A. C. C., Duarte, Carlos B. |
Rok vydání: |
2022 |
DOI: |
10.6084/m9.figshare.19144797 |
Popis: |
Additional file 7. Table S1- Principal component analysis considering the results obtained in the proteomics analysis of samples collected from patients with Relapse-Remitting Multiple Sclerosis (RRMS) and other inflammatory diseases of the CNS (INF). Table S2- Principal component analysis considering the results obtained in the proteomics analysis of samples collected from patients with Relapse-Remitting Multiple Sclerosis (RRMS) and non-inflammatory diseases of the CNS (N-INF). Table S3- Protein spots showing a differential distribution between Relapse-Remitting Multiple Sclerosis (RRMS) and other inflammatory diseases of the CNS (INF). Table S4- Protein spots from CSF samples showing a differential distribution between Relapse-Remitting Multiple Sclerosis (RRMS) and non-inflammatory diseases of CNS (N-INF). Table S5- Protein spots showing a significant change in abundance when comparing CSF samples from relapse-remitting multiple sclerosis vs. other inflammatory and non-inflammatory diseases of the CNS (control) as a single group. Table S6- Protein Identification from selected 2D-PAGE spots (SSP) by LC-MS/MS. Table S7- Eigenvalues for the proteins in the study in the CSF dataset. The most relevant proteins are underlined and correspond to eigenvalues superior to 1. Table S8- Loadings of the PCA for CSF scaled data. Loadings with an absolute value ��� 0.40 are underlined. Table S9- Means of the clusters present in the HCA dendrogram representing the similarity between the protein content in the CSF of the three groups of patients, as determined by ELISA. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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