E-PROT-109
Ontology highlight
ABSTRACT:
PROVIDER: E-PROT-109 | ExpressionAtlas | 2023-06-21
REPOSITORIES: ExpressionAtlas
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Project description:Animal toxins are of interest to a wide range of scientists, due to their numerous applications in pharmacology, neurology, hematology, medicine, and drug research. This, and to a lesser extent the development of new performing tools in transcriptomics and proteomics, has led to an increase in toxin discovery. In this context, providing publicly available data on animal toxins has become essential. The UniProtKB/Swiss-Prot Tox-Prot program (http://www.uniprot.org/program/Toxins) plays a crucial role by providing such an access to venom protein sequences and functions from all venomous species. This program has up to now curated more than 5000 venom proteins to the high-quality standards of UniProtKB/Swiss-Prot (release 2012_02). Proteins targeted by these toxins are also available in the knowledgebase. This paper describes in details the type of information provided by UniProtKB/Swiss-Prot for toxins, as well as the structured format of the knowledgebase.
| S-EPMC3393831 | biostudies-literature
Project description:Identification and validation of stage-associated serum biomarkers in colorectal cancer stages.
2023-06-21 | E-PROT-107 | ExpressionAtlas
Project description:The present study describes a novel xenograft-based biomarker discovery platform and proves its usefulness in the discovery of novel serum markers for prostate cancer (PCa). By immunizing immuno-competent mice with serum from nude mice bearing PCa xenografts, an antibody response against xenograft-derived antigens was elicited. By probing protein microarrays with serum from immunized mice, several PCa-derived antigens were identified, of which a subset was successfully retrieved in serum from mice bearing PCa xenografts and validated in human serum samples of PCa patients. In conclusion, this novel method allows for the identification of low abundant cancer-derived serum proteins, circumventing dynamic range and host-response issues in standard patient cohort proteomics comparisons.
2011-12-16 | GSE16220 | GEO
Project description:Dilated cardiomyopathy (DCM) is the most common form of cardiomyopathy and main indication for heart transplantation in children. Therapies specific to pediatric DCM remains limited due to lack of a disease model. Our previous study showed that treatment of neonatal rat ventricular myocytes (NRVMs) with non-failing or DCM pediatric patient serum activates the fetal gene program (FGP). Here we show that serum treatment with Proteinase K prevents activation of the FGP, whereas RNase treatment exacerbates it, suggesting that circulating proteins, but not circulating microRNAs, promote these pathological changes. Evaluation of the protein secretome showed that midkine (MDK) is up-regulated in DCM serum, and NRVM treatment with MDK activates the FGP. Changes in gene expression in serum-treated NRVMs, evaluated by next-generation RNA sequencing (RNA-Seq), indicates extracellular matrix remodeling and focal adhesion pathways are upregulated in pediatric DCM serum and serum-treated NRVMs, suggesting alterations in cellular stiffness. Cellular stiffness was evaluated by Atomic Force Microscopy, which showed an increase in stiffness in DCM serum-treated NRVMs. Of the proteins increased in DCM sera, secreted frizzled related protein 1 (sFRP1) was a potential candidate for the increase in cellular stiffness, and sFRP1 treatment of NRVMs recapitulated the increase in cellular stiffness observed in response to DCM-serum treatment. Our results show that serum circulating proteins promote pathological changes in gene expression and cellular stiffness, and circulating miRNAs are protective against pathological changes.
2021-07-31 | GSE181091 | GEO
Project description:BackgroundThe accuracy of protein 3D structure prediction has been dramatically improved with the help of advances in deep learning. In the recent CASP14, Deepmind demonstrated that their new version of AlphaFold (AF) produces highly accurate 3D models almost close to experimental structures. The success of AF shows that the multiple sequence alignment of a sequence contains rich evolutionary information, leading to accurate 3D models. Despite the success of AF, only the prediction code is open, and training a similar model requires a vast amount of computational resources. Thus, developing a lighter prediction model is still necessary.ResultsIn this study, we propose a new protein 3D structure modeling method, A-Prot, using MSA Transformer, one of the state-of-the-art protein language models. An MSA feature tensor and row attention maps are extracted and converted into 2D residue-residue distance and dihedral angle predictions for a given MSA. We demonstrated that A-Prot predicts long-range contacts better than the existing methods. Additionally, we modeled the 3D structures of the free modeling and hard template-based modeling targets of CASP14. The assessment shows that the A-Prot models are more accurate than most top server groups of CASP14.ConclusionThese results imply that A-Prot accurately captures the evolutionary and structural information of proteins with relatively low computational cost. Thus, A-Prot can provide a clue for the development of other protein property prediction methods.
| S-EPMC8925138 | biostudies-literature
Project description:CDI HuProt™ (Human Proteome Microarray), was used to study Pituitary Adenomas PAs (Acromegaly, Cushing's and NFPA) using serum samples, from around 14 individuals (4 Healthy control, 4 Acromegaly, 3 Cushing’s and 3 NFPAs patient samples) were used study their autoantibody profiles. Patient serum samples in dilution 1:500 ratio were used for primary incubation. Secondary incubation was performed with anti-human IgG conjugated with Cy5 (Jackson Immuno Research, catalogue number 109-175-064) in 1:5000 dilutions was used. This CDI HuProt™ array was scanned with GenePix 4000B Microarray Scanner (Molecular Devices), with a PMT gain of 500, Scan Power 100 and Laser power of 1.31.
2022-09-30 | E-MTAB-11947 | biostudies-arrayexpress
Project description:Protein microarray was used to identify proteins with elevated interactions with serum autoantibodies in a responding patient with rhabdomyosarcoma before and after multiple doses of HER2 CAR T cell therapy. Elevated signals were observed for multiple proteins interacting with serum autoantibodies following multiple doses of HER2-CAR T cell treatment when compared to pre-treatment serum.
2020-06-09 | GSE152029 | GEO
Project description:Background: Microarray technology may offer a new opportunity to gain insight into disease-specific global protein expression profiles. The present study was performed to apply a serum cytokine-array to screen for potential molecular biomarkers for Parkinson's disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). Methodology/Principal Findings: Serum samples were obtained from patients with clinical diagnoses of PD (n=117), MSA (n=31) and PSP/CBS (n=38) and 99 controls. Cytokine profiles of sera of patients and controls were analyzed with a semiquantitative human cytokine antibody array. In a next step, significantly altered cytokines were individually validated by immunoassays. The cytokine array revealed a significantly altered expression of 12 cytokines. Immunoassay validation confirmed a significant increase of PDGF-BB in PSP/CBS, MSA and PD and a decrease of Prolactin in PD (Kruskal-Wallis p<0.05). A multivariate analysis taking into account diagnoses anti-Parkinsonian treatment, sex and age revealed that PDGF-BB levels were influenced only by the diagnoses (p<0.001), whereas Prolactin levels were influenced only by anti-Parkinsonian treatment (p<0.001). These findings could be corroborated by a subgroup analysis in untreated patients. Conclusions/Significance: In our unbiased cytokine array screening approach we found PDGF-BB to be elevated in PSP/CBS, MSA and PD. Increased PDGF-BB levels might be of relevance in a model of molecular biomarkers for Parkinsonian syndromes. Screen serum samples from patients with Parkinson's disease, progressive supranuclear palsy, corticobasal syndrome, multisystem atrophy and controls for deregulation of serum proteins using a cytokine-array detecting 174 secreted signaling proteins.
2011-11-23 | E-GEOD-32037 | biostudies-arrayexpress
Project description:Background: Microarray technology may offer a new opportunity to gain insight into disease-specific global protein expression profiles. The present study was performed to apply a serum cytokine-array to screen for potential molecular biomarkers for Parkinson's disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). Methodology/Principal Findings: Serum samples were obtained from patients with clinical diagnoses of PD (n=117), MSA (n=31) and PSP/CBS (n=38) and 99 controls. Cytokine profiles of sera of patients and controls were analyzed with a semiquantitative human cytokine antibody array. In a next step, significantly altered cytokines were individually validated by immunoassays. The cytokine array revealed a significantly altered expression of 12 cytokines. Immunoassay validation confirmed a significant increase of PDGF-BB in PSP/CBS, MSA and PD and a decrease of Prolactin in PD (Kruskal-Wallis p<0.05). A multivariate analysis taking into account diagnoses anti-Parkinsonian treatment, sex and age revealed that PDGF-BB levels were influenced only by the diagnoses (p<0.001), whereas Prolactin levels were influenced only by anti-Parkinsonian treatment (p<0.001). These findings could be corroborated by a subgroup analysis in untreated patients. Conclusions/Significance: In our unbiased cytokine array screening approach we found PDGF-BB to be elevated in PSP/CBS, MSA and PD. Increased PDGF-BB levels might be of relevance in a model of molecular biomarkers for Parkinsonian syndromes. Screen serum samples from patients with Parkinson's disease, progressive supranuclear palsy, corticobasal syndrome, multisystem atrophy and controls for deregulation of serum proteins using a cytokine-array detecting 174 secreted signaling proteins.
2011-11-23 | E-GEOD-32040 | biostudies-arrayexpress
Project description:Background: Microarray technology may offer a new opportunity to gain insight into disease-specific global protein expression profiles. The present study was performed to apply a serum cytokine-array to screen for potential molecular biomarkers for Parkinson's disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). Methodology/Principal Findings: Serum samples were obtained from patients with clinical diagnoses of PD (n=117), MSA (n=31) and PSP/CBS (n=38) and 99 controls. Cytokine profiles of sera of patients and controls were analyzed with a semiquantitative human cytokine antibody array. In a next step, significantly altered cytokines were individually validated by immunoassays. The cytokine array revealed a significantly altered expression of 12 cytokines. Immunoassay validation confirmed a significant increase of PDGF-BB in PSP/CBS, MSA and PD and a decrease of Prolactin in PD (Kruskal-Wallis p<0.05). A multivariate analysis taking into account diagnoses anti-Parkinsonian treatment, sex and age revealed that PDGF-BB levels were influenced only by the diagnoses (p<0.001), whereas Prolactin levels were influenced only by anti-Parkinsonian treatment (p<0.001). These findings could be corroborated by a subgroup analysis in untreated patients. Conclusions/Significance: In our unbiased cytokine array screening approach we found PDGF-BB to be elevated in PSP/CBS, MSA and PD. Increased PDGF-BB levels might be of relevance in a model of molecular biomarkers for Parkinsonian syndromes. Screen serum samples from patients with Parkinson's disease, progressive supranuclear palsy, corticobasal syndrome, multisystem atrophy and controls for deregulation of serum proteins using a cytokine-array detecting 174 secreted signaling proteins.
2011-11-23 | E-GEOD-32039 | biostudies-arrayexpress