36 research outputs found
Gene-disease associations provided four or more times in Dizeez and not found in Gene Wiki.
<p>Gene-disease associations provided four or more times in Dizeez and not found in Gene Wiki.</p
Number of Gene-Disease assertions vs. number of votes, for real- and random gameplay.
<p>The vertical axis represents the number of associations collected during game play (log scale). Red line: real gameplay. Grey bars: mean number of associations after 100 randomizations, with associated standard deviation. ‘7+’ indicates the sum of associations collected with a number of votes equal or greater than 7.</p
Gene-disease associations provided seven or more times in Dizeez.
<p>Gene-disease associations provided seven or more times in Dizeez.</p
Concordance between Dizeez-mined associations and Disease and Gene Annotations database.
<p>The ‘concordance ratio’ on the vertical axis is the ratio between the associations supported by DGA and the total number of associations for a given number of votes. ‘7+’ indicates the sum of associations collected with a number of votes between 7 and 11.</p
Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease
Tandem
mass spectrometry based shotgun proteomics of distal gut
microbiomes is exceedingly difficult due to the inherent complexity
and taxonomic diversity of the samples. We introduce two new methodologies
to improve metaproteomic studies of microbiome samples. These methods
include the stable isotope labeling in mammals to permit protein quantitation
across two mouse cohorts as well as the application of activity-based
probes to enrich and analyze both host and microbial proteins with
specific functionalities. We used these technologies to study the
microbiota from the adoptive T cell transfer mouse model of inflammatory
bowel disease (IBD) and compare these samples to an isogenic control,
thereby limiting genetic and environmental variables that influence
microbiome composition. The data generated highlight quantitative
alterations in both host and microbial proteins due to intestinal
inflammation and corroborates the observed phylogenetic changes in
bacteria that accompany IBD in humans and mouse models. The combination
of isotope labeling with shotgun proteomics resulted in the total
identification of 4434 protein clusters expressed in the microbial
proteomic environment, 276 of which demonstrated differential abundance
between control and IBD mice. Notably, application of a novel cysteine-reactive
probe uncovered several microbial proteases and hydrolases overrepresented
in the IBD mice. Implementation of these methods demonstrated that
substantial insights into the identity and dysregulation of host and
microbial proteins altered in IBD can be accomplished and can be used
in the interrogation of other microbiome-related diseases
Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease
Tandem
mass spectrometry based shotgun proteomics of distal gut
microbiomes is exceedingly difficult due to the inherent complexity
and taxonomic diversity of the samples. We introduce two new methodologies
to improve metaproteomic studies of microbiome samples. These methods
include the stable isotope labeling in mammals to permit protein quantitation
across two mouse cohorts as well as the application of activity-based
probes to enrich and analyze both host and microbial proteins with
specific functionalities. We used these technologies to study the
microbiota from the adoptive T cell transfer mouse model of inflammatory
bowel disease (IBD) and compare these samples to an isogenic control,
thereby limiting genetic and environmental variables that influence
microbiome composition. The data generated highlight quantitative
alterations in both host and microbial proteins due to intestinal
inflammation and corroborates the observed phylogenetic changes in
bacteria that accompany IBD in humans and mouse models. The combination
of isotope labeling with shotgun proteomics resulted in the total
identification of 4434 protein clusters expressed in the microbial
proteomic environment, 276 of which demonstrated differential abundance
between control and IBD mice. Notably, application of a novel cysteine-reactive
probe uncovered several microbial proteases and hydrolases overrepresented
in the IBD mice. Implementation of these methods demonstrated that
substantial insights into the identity and dysregulation of host and
microbial proteins altered in IBD can be accomplished and can be used
in the interrogation of other microbiome-related diseases
Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease
Tandem
mass spectrometry based shotgun proteomics of distal gut
microbiomes is exceedingly difficult due to the inherent complexity
and taxonomic diversity of the samples. We introduce two new methodologies
to improve metaproteomic studies of microbiome samples. These methods
include the stable isotope labeling in mammals to permit protein quantitation
across two mouse cohorts as well as the application of activity-based
probes to enrich and analyze both host and microbial proteins with
specific functionalities. We used these technologies to study the
microbiota from the adoptive T cell transfer mouse model of inflammatory
bowel disease (IBD) and compare these samples to an isogenic control,
thereby limiting genetic and environmental variables that influence
microbiome composition. The data generated highlight quantitative
alterations in both host and microbial proteins due to intestinal
inflammation and corroborates the observed phylogenetic changes in
bacteria that accompany IBD in humans and mouse models. The combination
of isotope labeling with shotgun proteomics resulted in the total
identification of 4434 protein clusters expressed in the microbial
proteomic environment, 276 of which demonstrated differential abundance
between control and IBD mice. Notably, application of a novel cysteine-reactive
probe uncovered several microbial proteases and hydrolases overrepresented
in the IBD mice. Implementation of these methods demonstrated that
substantial insights into the identity and dysregulation of host and
microbial proteins altered in IBD can be accomplished and can be used
in the interrogation of other microbiome-related diseases
Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease
Tandem
mass spectrometry based shotgun proteomics of distal gut
microbiomes is exceedingly difficult due to the inherent complexity
and taxonomic diversity of the samples. We introduce two new methodologies
to improve metaproteomic studies of microbiome samples. These methods
include the stable isotope labeling in mammals to permit protein quantitation
across two mouse cohorts as well as the application of activity-based
probes to enrich and analyze both host and microbial proteins with
specific functionalities. We used these technologies to study the
microbiota from the adoptive T cell transfer mouse model of inflammatory
bowel disease (IBD) and compare these samples to an isogenic control,
thereby limiting genetic and environmental variables that influence
microbiome composition. The data generated highlight quantitative
alterations in both host and microbial proteins due to intestinal
inflammation and corroborates the observed phylogenetic changes in
bacteria that accompany IBD in humans and mouse models. The combination
of isotope labeling with shotgun proteomics resulted in the total
identification of 4434 protein clusters expressed in the microbial
proteomic environment, 276 of which demonstrated differential abundance
between control and IBD mice. Notably, application of a novel cysteine-reactive
probe uncovered several microbial proteases and hydrolases overrepresented
in the IBD mice. Implementation of these methods demonstrated that
substantial insights into the identity and dysregulation of host and
microbial proteins altered in IBD can be accomplished and can be used
in the interrogation of other microbiome-related diseases
