Dataset Information

Longitudinal proteomic analysis of influenza HA-reactive IgG antibody repertoire over multiple years and repeated vaccinations

ABSTRACT: Longitudinal proteomic analysis of H1N1 A/California/7/2009 (CA09) hemagglutinin (HA)-reactive serum IgG antibody repertoire over 5 years and multiple (yearly) vaccinations (both pre- and post-vaccination samples) in a donor. Dataset consists of steady-state (pre-vaccination at day 0) and peak-response (2-3 weeks post-vaccination) serum IgG samples enriched by affinity chromatography against hemagglutinin protein from H1 A/California/7/2009.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: George Georgiou

PROVIDER: MSV000083120 | MassIVE | Thu Nov 08 14:37:00 GMT 2018

SECONDARY ACCESSION(S): PXD011636

REPOSITORIES: MassIVE

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Publications

Hydroxy-PCBs, PBDEs, and HBCDDs in serum from an elderly population of Swedish fishermen's wives and associations with bone density.

Weiss Jana J Wallin Ewa E Axmon Anna A Jönsson Bo A G BA Akesson Helene H Janák Karel K Hagmar Lars L Bergman Ake A

Environmental science & technology 20061001 20

Lack of human exposure data is frequently reported as a critical gap in risk assessments of environmental pollutants, especially regarding "new" pollutants. The objectives of this study were to assess serum levels of the persistent 2,2',4,4',5,5'-hexachlorobiphenyl (CB-153), hydroxylated polychlorinated biphenyl metabolites (OH-PCBs), polybrominated diphenyl ethers (PBDEs), and hexabromocyclodode-canes (HBCDDs) in a group of Swedish middle-aged and elderly women expected to be relatively highly ...[more]

PMID: 17120554

Similar Datasets

Project description:The DALIA-1 trial was designed to evaluate the safety and immunogenicity of a DC-based vaccine generated by culturing blood monocytes with GM-CSF and IFN-a. DCs were pulsed for 24 hrs with the ANRS LIPO5 peptide pool and activated for the last 6 hrs with LPS. In total, 19 asymptomatic HAART-treated patients were included in the study. Microarray samples were collected in both the treatment phase and follow-up phase of the study. Whole blood RNA samples were collected at two time points prior to the first vaccination (Weeks -8 and -4) and served as a pre-vaccination baseline. Additional whole blood RNA samples were collected at the time of vaccination (Weeks 0, 4, 8, 12) and post-vaccination at weeks 16, 22, and 24. At week 24, an analytical treatment interruption (ATI) was initiated during which HAART was suspended. During this post-ATI follow-up phase, whole blood RNA samples were collected at weeks 25, 26, 27, 28, 32, 36, 40, , 44, and 48). Additionally, at weeks -4, 16, and 48 patients were apheresed. 18 samples are constituents of both the pre-ATI and post-ATI datasets, which were normalized separately. The normalised data underwent the following preprocessing: First a normal-exponential convolution model was applied (Xie et al, Bioinformatics, 2009; Shi et al, Nucleid Acids Research, 2010) to correct for the background noise. An offset of 16 (default value) was then added to the data (to improve precision and avoid a compression of the fold changes) before a quantile-quantile normalization was performed. Finally, data were log2 transformed. Only probes whose pval-detection (provided by Illumina Genome-Studio software) was below 0.01 in at least one sample were kept further on. At last, the ComBat method (Johnson et al, Biostatistics, 2007) was applied to those data in order to correct for batch effects (namely a small hybridization chamber effect, that was identified through Principal Variance Component Analysis - Li et al, chap. 12, Batch Effects and Noise in Microarray Experiments: Sources and Solutions, Wiley, 2009).

Project description:Purpose: There is evidence that therapeutic cancer vaccines can lengthen survival for some cancer patients, but responses vary widely from one person to another. Methods to predict clinical outcomes will advance the field and provide new insights into critical determinants of in vivo efficacy. This study uses a high-throughput glycan microarray to assess correlations between a subject's overall survival after receiving PROSTVAC-VF and his baseline serum anti-glycan antibody levels. Results: Pre-vaccination antibody levels to blood group A trisaccharide (BG-Atri) were found to have a statistically significant correlation with survival. Long-term survival was approximately doubled in subjects with abundant anti-BG-Atri IgM relative to subjects with little or no pre-existing IgM for BG-Atri. This survival correlation was specific to vaccine treatment, as no correlation was observed in control patients immunized with wild-type poxviruses lacking the key tumor antigen, prostate specific antigen (PSA). Moreover, anti-BG-Atri IgM levels were not correlated with general measures of disease severity, such as PSA levels, Gleason score, or Halabi predicted survival. Conclusion: In addition to reporting a new potentially predictive biomarker for PROSTVAC-VF, this study highlights the potential of glycan microarray technology for personalized medicine. The overall study was a retrospective analysis of 141 subjects from phase II trials of PROSTVAC-VF, a poxvirus based cancer vaccine currently in phase III clinical trials for advanced prostate cancer. The subjects were divided into a training set (n=28) and a validation set (n=113). A glycan microarray was used to profile pre-vaccination anti-glycan antibody populations in sera as potential biomarkers for PROSTVAC-VF. For both the training set and validation set, the anti-glycan profiles were measured using four variations of serum dilution and isotype specific secondary antibody (IgM at 1:50, IgG at 1:50, total Ig at 1:50, and total Ig at 1:200). IgG levels for the training set measured at serum dilution of 1:50 are detailed here. The screen for predictive biomarkers identified anti-glycan antibodies that consistently stratified subjects into groups with different Kaplan Meier survival estimates. Due to the potential for overfitting, a permutation test was used to estimate the false discovery rate. Raw data on superSeries GSE42184 record.

Project description:Purpose: There is evidence that therapeutic cancer vaccines can lengthen survival for some cancer patients, but responses vary widely from one person to another. Methods to predict clinical outcomes will advance the field and provide new insights into critical determinants of in vivo efficacy. This study uses a high-throughput glycan microarray to assess correlations between a subject's overall survival after receiving PROSTVAC-VF and his baseline serum anti-glycan antibody levels. Results: Pre-vaccination antibody levels to blood group A trisaccharide (BG-Atri) were found to have a statistically significant correlation with survival. Long-term survival was approximately doubled in subjects with abundant anti-BG-Atri IgM relative to subjects with little or no pre-existing IgM for BG-Atri. This survival correlation was specific to vaccine treatment, as no correlation was observed in control patients immunized with wild-type poxviruses lacking the key tumor antigen, prostate specific antigen (PSA). Moreover, anti-BG-Atri IgM levels were not correlated with general measures of disease severity, such as PSA levels, Gleason score, or Halabi predicted survival. Conclusion: In addition to reporting a new potentially predictive biomarker for PROSTVAC-VF, this study highlights the potential of glycan microarray technology for personalized medicine. The overall study was a retrospective analysis of 141 subjects from phase II trials of PROSTVAC-VF, a poxvirus based cancer vaccine currently in phase III clinical trials for advanced prostate cancer. The subjects were divided into a training set (n=28) and a validation set (n=113). A glycan microarray was used to profile pre-vaccination anti-glycan antibody populations in sera as potential biomarkers for PROSTVAC-VF. For both the training set and validation set, the anti-glycan profiles were measured using four variations of serum dilution and isotype specific secondary antibody (IgM at 1:50, IgG at 1:50, total Ig at 1:50, and total Ig at 1:200). IgG levels for the validation set measured at serum dilution of 1:50 are detailed here. The screen for predictive biomarkers identified anti-glycan antibodies that consistently stratified subjects into groups with different Kaplan Meier survival estimates. Due to the potential for overfitting, a permutation test was used to estimate the false discovery rate. Raw data on superSeries GSE42184 record.

Project description:Purpose: There is evidence that therapeutic cancer vaccines can lengthen survival for some cancer patients, but responses vary widely from one person to another. Methods to predict clinical outcomes will advance the field and provide new insights into critical determinants of in vivo efficacy. This study uses a high-throughput glycan microarray to assess correlations between a subject's overall survival after receiving PROSTVAC-VF and his anti-glycan humoral responses occuring in the first months after treatment with PROSTVAC-VF. Results: Humoral responses to the terminal Forssman disaccharide (Fsdi) were found to have a statistically significant correlation with survival. Long-term survival was approximately doubled in subjects with four-fold or larger anti-Fsdi responses relative to subjects with little or no anti-Fsdi response. This survival correlation was specific to vaccine treatment, as no correlation was observed in control patients immunized with wild-type poxviruses lacking the key tumor antigen, prostate specific antigen (PSA). Moreover, anti-Fsdi humoral responses were not correlated with general measures of disease severity, such as PSA levels, Gleason score, or Halabi predicted survival. Conclusion: In addition to reporting a new biomarker for monitoring benefical responses to PROSTVAC-VF, this study highlights the potential of glycan microarray technology for personalized medicine. The overall study was a retrospective analysis of 141 subjects from phase II trials of PROSTVAC-VF, a poxvirus based cancer vaccine currently in phase III clinical trials for advanced prostate cancer. The subjects were divided into a training set (n=28) and a validation set (n=113). A glycan microarray was used to profile pre-vaccination and post-vaccination anti-glycan antibody populations in sera as potential biomarkers for PROSTVAC-VF. For both the training set and validation set, the anti-glycan profiles were measured using four variations of serum dilution and isotype specific secondary antibody (IgM at 1:50, IgG at 1:50, total Ig at 1:50, and total Ig at 1:200). IgG levels for the training set measured at serum dilution of 1:50 are detailed here. The screen for response biomarkers identified anti-glycan humoral responses that consistently stratified subjects into groups with different Kaplan Meier survival estimates. Raw data on SuperSeries GSE50410 record.

Project description:Purpose: There is evidence that therapeutic cancer vaccines can lengthen survival for some cancer patients, but responses vary widely from one person to another. Methods to predict clinical outcomes will advance the field and provide new insights into critical determinants of in vivo efficacy. This study uses a high-throughput glycan microarray to assess correlations between a subject's overall survival after receiving PROSTVAC-VF and his anti-glycan humoral responses occuring in the first months after treatment with PROSTVAC-VF. Results: Humoral responses to the terminal Forssman disaccharide (Fsdi) were found to have a statistically significant correlation with survival. Long-term survival was approximately doubled in subjects with four-fold or larger anti-Fsdi responses relative to subjects with little or no anti-Fsdi response. This survival correlation was specific to vaccine treatment, as no correlation was observed in control patients immunized with wild-type poxviruses lacking the key tumor antigen, prostate specific antigen (PSA). Moreover, anti-Fsdi humoral responses were not correlated with general measures of disease severity, such as PSA levels, Gleason score, or Halabi predicted survival. Conclusion: In addition to reporting a new biomarker for monitoring benefical responses to PROSTVAC-VF, this study highlights the potential of glycan microarray technology for personalized medicine. The overall study was a retrospective analysis of 141 subjects from phase II trials of PROSTVAC-VF, a poxvirus based cancer vaccine currently in phase III clinical trials for advanced prostate cancer. The subjects were divided into a training set (n=28) and a validation set (n=113). A glycan microarray was used to profile pre-vaccination and post-vaccination anti-glycan antibody populations in sera as potential biomarkers for PROSTVAC-VF. For both the training set and validation set, the anti-glycan profiles were measured using four variations of serum dilution and isotype specific secondary antibody (IgM at 1:50, IgG at 1:50, total Ig at 1:50, and total Ig at 1:200). IgG levels for the validation set measured at serum dilution of 1:50 are detailed here. The screen for response biomarkers identified anti-glycan humoral responses that consistently stratified subjects into groups with different Kaplan Meier survival estimates. Raw data on SuperSeries GSE50410 record.