Dataset.

Supplementary files of the article "Deciphering biomarkers for leptomeningeal metastasis in malignant hemopathies (Lymphoma/Leukemia) patients by comprehensive multipronged proteomics characterization of cerebrospinal fluid" [Dataset]

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311468
Digital.CSIC. Repositorio Institucional del CSIC
  • Juanes-Velasco, Pablo
  • Galicia, N.
  • Pin, Elisa
  • Jara-Acevedo, Ricardo
  • Carabias-Sánchez, Javier
  • García-Valiente, R.
  • Lécrevisse, Quentin
  • Pedreira, C. E.
  • Góngora, Rafael
  • Sanchez-Santos, Jose Manuel
  • Lorenzo-Gil, Héctor
  • Landeira-Viñuela, Alicia
  • Bareke, Halin
  • Orfao, Alberto
  • Nilsson, Peter
  • Fuentes, Manuel
The following are available online at https://www.mdpi.com/article/10.3390/cancers14020449/s1. Supplementary Figures. Figure S1: Distribution of pathological CSF samples (without healthy ones) among each phase of study and the different groups according to the incidence of the pathology, depending on the infiltration (CSF +/− LM) and the primary tumor (hematologic and solid tumor). Figure S2: Quality control images of the planar protein microarrays generated. Figure S3: A quantile normalization in planar protein microarrays. Figure S4: Coomasie gels which indicate protein distribution across samples. Figure S5: Venn diagrams of total identified proteins with LC-MS/MS. Figure S6: Plots showing the functional proteins using the Reactome for different conditions. Figure S7: Differential protein profiles within CSF + LM according to primary tumor (Lymphoma) by protein microarrays. Figure S8: Differential protein profiles within CSF + LM according to primary tumor (Leukemia) by protein microarrays. Figure S9: Differential protein profiles within CSF + LM according to primary tumor (Lymphoma) by affinity proteomics. Figure S10: Differential protein profiles within CSF + LM according to primary tumor (Leukemia) by affinity proteomics. Figure S11: Summary of the multipronged proteomics characterization among the different phases of study. Supplementary Tables. Table S1: Table of clinical-biological characteristics from the whole CSF samples used in the study. Table S2: Antibodies list used in Planar Protein Microarrays. Table S3: Antibodies list used in Beads Suspension Microarrays. Table S4: Protein identification with LC-MS/MS among the different strategies and their emPAI quantification. Table S5: Boxplots of the protein identified in validation and confirmation phases, respectively, comparing the different groups of study. Table S6: Intensity data results from Planar Protein Microarrays. Table S7: Intensity data results from Beads Suspension Microarrays. Table S8: ROC analysis list of potential biomarker panel on CSF +/− LM and the different comparisons by protein arrays and affinity proteomics., Peer reviewed
 
DOI: http://hdl.handle.net/10261/311468
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311468

HANDLE: http://hdl.handle.net/10261/311468
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311468
 
Ver en: http://hdl.handle.net/10261/311468
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311468

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311468
Dataset. 2022

SUPPLEMENTARY FILES OF THE ARTICLE "DECIPHERING BIOMARKERS FOR LEPTOMENINGEAL METASTASIS IN MALIGNANT HEMOPATHIES (LYMPHOMA/LEUKEMIA) PATIENTS BY COMPREHENSIVE MULTIPRONGED PROTEOMICS CHARACTERIZATION OF CEREBROSPINAL FLUID" [DATASET]

Digital.CSIC. Repositorio Institucional del CSIC
  • Juanes-Velasco, Pablo
  • Galicia, N.
  • Pin, Elisa
  • Jara-Acevedo, Ricardo
  • Carabias-Sánchez, Javier
  • García-Valiente, R.
  • Lécrevisse, Quentin
  • Pedreira, C. E.
  • Góngora, Rafael
  • Sanchez-Santos, Jose Manuel
  • Lorenzo-Gil, Héctor
  • Landeira-Viñuela, Alicia
  • Bareke, Halin
  • Orfao, Alberto
  • Nilsson, Peter
  • Fuentes, Manuel
The following are available online at https://www.mdpi.com/article/10.3390/cancers14020449/s1. Supplementary Figures. Figure S1: Distribution of pathological CSF samples (without healthy ones) among each phase of study and the different groups according to the incidence of the pathology, depending on the infiltration (CSF +/− LM) and the primary tumor (hematologic and solid tumor). Figure S2: Quality control images of the planar protein microarrays generated. Figure S3: A quantile normalization in planar protein microarrays. Figure S4: Coomasie gels which indicate protein distribution across samples. Figure S5: Venn diagrams of total identified proteins with LC-MS/MS. Figure S6: Plots showing the functional proteins using the Reactome for different conditions. Figure S7: Differential protein profiles within CSF + LM according to primary tumor (Lymphoma) by protein microarrays. Figure S8: Differential protein profiles within CSF + LM according to primary tumor (Leukemia) by protein microarrays. Figure S9: Differential protein profiles within CSF + LM according to primary tumor (Lymphoma) by affinity proteomics. Figure S10: Differential protein profiles within CSF + LM according to primary tumor (Leukemia) by affinity proteomics. Figure S11: Summary of the multipronged proteomics characterization among the different phases of study. Supplementary Tables. Table S1: Table of clinical-biological characteristics from the whole CSF samples used in the study. Table S2: Antibodies list used in Planar Protein Microarrays. Table S3: Antibodies list used in Beads Suspension Microarrays. Table S4: Protein identification with LC-MS/MS among the different strategies and their emPAI quantification. Table S5: Boxplots of the protein identified in validation and confirmation phases, respectively, comparing the different groups of study. Table S6: Intensity data results from Planar Protein Microarrays. Table S7: Intensity data results from Beads Suspension Microarrays. Table S8: ROC analysis list of potential biomarker panel on CSF +/− LM and the different comparisons by protein arrays and affinity proteomics., Peer reviewed




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