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Protein Arrays

Protein Arrays are a powerful research tool that allow for the simultaneous analysis of multiple proteins or protein interactions.
These arrays can be used to profile protein expression, identify protein-protein interactions, and screen for protein-ligand binding.
PubCompare.ai's innovative platform revolutionizes protein array research by helping scientists locate the best protocols from literature, pre-prints, and patents using smart comparisosn.
Optimize your experiments with PubCompare.ai's intuitive tools and discover new insights into protein function and disease biomarkers.

Most cited protocols related to «Protein Arrays»

1
Comprehensive Multi-Omics Profiling of Breast Cancer
Specimens were obtained from patients with appropriate consent from institutional review boards. Using a co-isolation protocol, DNA and RNA were purified. In total, 800 patients were assayed on at least one platform. Different numbers of patients were used for each platform using the largest number of patients available at time of data freeze; 466 samples (463 patients) were in common across 5/6 platforms (excluding RPPA) and 348 patients were in common on 6/6 platforms. Technology platforms used include: 1) gene expression DNA microarrays51 (link), 2) DNA methylation arrays, 3) microRNA sequencing, 4) Affymetrix SNP arrays, 5) exome sequencing, and 6) Reverse Phase Protein Arrays. Each platform, except for the exome sequencing, was used in a de novo subtype discovery analysis (Supplemental Methods) which were included in a single analysis to define an overall subtype architecture. Additional integrated across platform computational analyses were preformed including PARADIGM32 (link) and MEMo40 (link).
All of the primary sequence files are deposited in CGHub (https://cghub.ucsc.edu/); all other data including mutation annotation file are deposited at the Data Coordinating Center (DCC) (http://cancergenome.nih.gov/). Sample lists, data matrices and supporting data can be found at (http://tcga-data.nci.nih.gov/docs/publications/brca_2012/). The data can be explored via the ISB Regulome Explorer (http://explorer.cancerregulome.org/) and the cBio Cancer Genomics Portal (http://cbioportal.org). Data descriptions can be found at (https://wiki.nci.nih.gov/display/TCGA/TCGA+Data+Primer) and in Supplementary Methods. Reprints and permissions information is available at www.nature.com/reprints.
Comprehensive molecular portraits of human breast tumors. (2012). Nature, 490(7418), 61-70.
Publication 2012
DNA Chips Ethics Committees, Research Freezing Gene Expression isolation Malignant Neoplasms Methylation MicroRNAs Mutation Oligonucleotide Primers Patients Protein Arrays
2
Comprehensive Molecular Profiling of Prostate Cancer

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Publication 2015
Blindness Cells DNA Chips Ethics Committees, Research Exome Freezing Malignant Neoplasms Methylation MicroRNAs Microtubule-Associated Proteins Neoplasm Metastasis Neoplasms Pathologists Patients Prostate Prostate Cancer Prostatic Intraepithelial Neoplasias Protein Arrays Proteins RNA Degradation Seminal Vesicles System, Genitourinary Tissues
3
Multi-Omics Profiling of Gastric Cancer
Fresh frozen gastric adenocarcinoma and matched germline DNA samples were obtained from 295 patients under IRB approved protocols. Genomic material and (when available) protein were subjected to single nucleotide polymorphism array somatic copy-number analysis, whole-exome sequencing, mRNA sequencing, miRNA sequencing, array-based DNA methylation profiling and reverse-phase protein arrays. A subset of samples was subjected to whole-genome sequencing. Initial analysis centred on the development of a classification scheme for gastric cancer. Subsequent analysis identified key features from each of the genomic/molecular platforms, looking both for features found across gastric cancer and those characteristic of individual gastric cancer subtypes. Primary and processed data are deposited at the Data Coordinating Center (https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp); primary sequence files are deposited in CGHub (https://cghub.ucsc.edu/). Sample lists, and supporting data can be found at (https://tcga-data.nci.nih.gov/docs/publications/stad_2014/).
Comprehensive molecular characterization of gastric adenocarcinoma. (2014). Nature, 513(7517), 202-209.
Publication 2014
Adenocarcinoma Diploid Cell Freezing Gastric Cancer Genome Germ Line Methylation MicroRNAs Patients Protein Arrays Proteins RNA, Messenger Single Nucleotide Polymorphism Stomach
4
Multi-Platform Molecular Profiling
Specimens were obtained from patients, with appropriate consent from institutional review boards. Using a co-isolation protocol, DNA and RNA were purified. In total, 446 patients were assayed on at least one molecular profiling platform, which platforms included: (1) RNA sequencing; (2) DNA methylation arrays; (3) miRNA sequencing; (4) Affymetrix SNP arrays; (5) exome sequencing; and (6) reverse phase protein arrays. As described above and in the Supplemental Methods, both single platform analyses and integrated cross-platform analyses were performed.
COMPREHENSIVE MOLECULAR CHARACTERIZATION OF CLEAR CELL RENAL CELL CARCINOMA. (2013). Nature, 499(7456), 43-49.
Publication 2013
DNA Chips Ethics Committees, Research isolation Methylation MicroRNAs Patients Protein Arrays
5
Gastric Cancer Multi-Omics Profiling
Fresh frozen gastric adenocarcinoma and matched germline DNA samples were obtained from 295 patients under IRB approved protocols. Genomic material and (when available) protein were subjected to single nucleotide polymorphism array somatic copy-number analysis, whole-exome sequencing, mRNA sequencing, miRNA sequencing, array-based DNA methylation profiling and reverse-phase protein arrays. A subset of samples was subjected to whole-genome sequencing. Initial analysis centred on the development of a classification scheme for gastric cancer. Subsequent analysis identified key features from each of the genomic/molecular platforms, looking both for features found across gastric cancer and those characteristic of individual gastric cancer subtypes. Primary and processed data are deposited at the Data Coordinating Center (https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp); primary sequence files are deposited in CGHub (https://cghub.ucsc.edu/). Sample lists, and supporting data can be found at (https://tcga-data.nci.nih.gov/docs/publications/stad_2014/).
Comprehensive molecular characterization of gastric adenocarcinoma. (2014). Nature, 513(7517), 202-209.
Publication 2014
Adenocarcinoma Diploid Cell Freezing Gastric Cancer Genome Germ Line Methylation MicroRNAs Patients Protein Arrays Proteins RNA, Messenger Single Nucleotide Polymorphism Stomach

Most recents protocols related to «Protein Arrays»

1
Quantitative DNA Methylation Analysis

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Publication 2023
ammonium acetate Buffers Cells Chemiluminescence Chloroform Cold Temperature Densitometry Edetic Acid Ethanol Genome Immunoglobulins Methylene Blue Mice, House Milk, Cow's Nylons Phenols Protein Arrays Rabbits Saline Solution Sodium Acetate Sodium Citrate Technique, Dilution Tissue, Membrane Vacuum
2
Comprehensive Pan-Cancer Multiomics Analysis
The STGs were retrieved from the VThunter database (https://db.cngb.org/VThunter) (13 (link)) and literature. Clinical parameters (n = 11,160) as well as gene expression (n = 10,471), Single-nucleotide variations (SNV) (n = 10,234), copy number variation (CNV) (n = 11,461), and methylation (n = 10,063) were obtained and processed from GSCA (Gene Set Cancer Analysis, http://bioinfo.life.hust.edu.cn/GSCA/#/), which collected the pan-cancer data of the Cancer Genome Atlas (TCGA) database (https://portal.gdc.cancer.gov/) (14 (link)–16 (link)). Reverse phase protein array (RPPA) data from The Cancer Proteome Atlas (TCPA) (https://tcpaportal.org/tcpa/index.html) was used to investigate pathways (17 (link)). The analysis between the gene expression and drug sensitivity was based on the Genomics of Drug Sensitivity in Cancer (GDSC) database (www.cancerrxgene.org) (18 (link)). The deadline for database website access and data download is September 15, 2022. Thirty-three cancer types with the number of samples included in this study (Table 1).
Liao Y., Wang J., Zou J., Liu Y., Liu Z, & Huang Z. (2023). Multi-omics analysis reveals genomic, clinical and immunological features of SARS-CoV-2 virus target genes in pan-cancer. Frontiers in Immunology, 14, 1112704.
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Publication 2023
Copy Number Polymorphism Gene Expression Gene Expression Profiling Genes Genome Hypersensitivity Malignant Neoplasms Methylation Nucleotides Pharmaceutical Preparations Protein Arrays Proteome Staging, Cancer
3
Multiplex Cytokine Profiling Assay
Cytokine analysis was performed using the Human Cytokine Array Q4000 (RayBiotech, Norcross, GA, USA) which included 200 human inflammation factors, growth factors, chemokines, cytokines and receptors. Then, a customised antibody array which included 24 prioritised proteins from the Q4000 array was analysed. Briefly, the arrays were blocked with the blocking buffer (provided by the kit) for 30 min and incubated with 1 mL of conditioned medium for 2 h at room temperature. After washing, the arrays were incubated with biotinylated antibody cocktail at room temperature for 2 h, and then with Cy3 equivalent dye‐streptavidin for another 1 h at room temperature. Detection was performed according to the manufacturer's instructions.
Wu Y., Clark K.C., Niranjan B., Chüeh A.C., Horvath L.G., Taylor R.A, & Daly R.J. (2023). Integrative characterisation of secreted factors involved in intercellular communication between prostate epithelial or cancer cells and fibroblasts. Molecular Oncology, 17(3), 469-486.
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Publication 2023
Buffers Chemokine Combined Antibody Therapeutics Culture Media, Conditioned cyanine dye 3 Cytokine Growth Factor Homo sapiens Immunoglobulins Inflammation Protein Arrays Streptavidin
4
Blocking Assays for Autoantibodies
Serum samples that had been characterized previously using protein arrays were obtained from hospitalized patients with COVID-19 from Philipps University Marburg between April and June 2020 (n = 18, IRB no. 57/20) (5 (link)). Two samples with high levels of ACA were selected to develop blocking assays.
Feng A., Yang E.Y., Moore A.R., Dhingra S., Chang S.E., Yin X., Pi R., Mack E.K., Völkel S., Geßner R., Gündisch M., Neubauer A., Renz H., Tsiodras S., Fragkou P.C., Asuni A.A., Levitt J.E., Wilson J.G., Leong M., Lumb J.H., Mao R., Pinedo K., Roque J., Richards C.M., Stabile M., Swaminathan G., Salagianni M.L., Triantafyllia V., Bertrams W., Blish C.A., Carette J.E., Frankovich J., Meffre E., Nadeau K.C., Singh U., Wang T.T., Luning Prak E.T., Herold S., Andreakos E., Schmeck B., Skevaki C., Rogers A.J, & Utz P.J. (2023). Autoantibodies are highly prevalent in non–SARS-CoV-2 respiratory infections and critical illness. JCI Insight, 8(3), e163150.
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Publication 2023
Biological Assay COVID 19 Patients Protein Arrays Serum
5
Lipidomic Analysis of CES1 and SCD
All data are presented as the mean ± SEM or mean ± SD. All statistical analyses were performed using GraphPad Prism 8. The unpaired 2-tailed Student’s t test or 2-tailed Mann-Whitney U test was used to compare the differences between the 2 groups in the meta-analysis. One-way ANOVA was used to compare the differences among multiple experimental groups. The Dunnett T3 test was applied for the post hoc test. There is a correction for multiple comparisons using statistical hypothesis testing. Two-way ANOVA followed by Tukey multiple-comparison test was used to for the tumor volume comparison. Pearson’s correlation was used to analyze the relationship between CES1 and SCD protein levels in the tissue array samples. Statistical significance was set at P < 0.05. For the lipidomic analysis, raw peak intensity was represented by normalized Z scores, and pairwise P values were calculated using 2-tailed Student’s t test and 2-tailed unequal variations to convey the significant abundance in the treated groups compared with the controls.
Li G., Li X., Mahmud I., Ysaguirre J., Fekry B., Wang S., Wei B., Eckel-Mahan K.L., Lorenzi P.L., Lehner R, & Sun K. (2023). Interfering with lipid metabolism through targeting CES1 sensitizes hepatocellular carcinoma for chemotherapy. JCI Insight, 8(2), e163624.
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Publication 2023
CES1 protein, human neuro-oncological ventral antigen 2, human prisma Protein Arrays Student Tissues

Top products related to «Protein Arrays»

1
Proteon xpr36 protein interaction array system by Bio-Rad
Sourced in United States
The ProteOn XPR36 Protein Interaction Array system is a lab equipment product by Bio-Rad that allows for the label-free, real-time analysis of biomolecular interactions. The system utilizes surface plasmon resonance (SPR) technology to measure and monitor the kinetics and affinity of molecular binding events.
2
Bio plex protein array system by Bio-Rad
Sourced in United States
The Bio-Plex Protein Array System is a powerful multiplex assay platform designed for the simultaneous quantification of multiple protein analytes from a single sample. The system utilizes magnetic bead-based technology to enable the rapid and efficient detection and measurement of a wide range of protein targets, making it a versatile tool for various applications.
3
Xmap technology by DiaSorin
Sourced in United States, Japan, Germany
XMAP technology is a multiplex detection platform developed by DiaSorin. It enables simultaneous measurement of multiple analytes in a single sample. The technology utilizes color-coded magnetic beads to capture and detect specific target molecules.
4
Protoarray by Thermo Fisher Scientific
Sourced in United States
The ProtoArray is a high-throughput protein microarray platform designed for the identification and characterization of protein-protein, protein-small molecule, and protein-antibody interactions. The ProtoArray contains over 9,000 unique human proteins expressed in a baculovirus system, providing a comprehensive platform for studying a wide range of protein interactions.
5
Bio plex protein arrays by Bio-Rad
Sourced in United States
Bio-Plex protein arrays are multiplex assay platforms that allow for the simultaneous detection and quantification of multiple analytes in a single sample. The core function of the Bio-Plex system is to provide a flexible and efficient tool for researchers to analyze complex biological samples.
6
Genepix 4000b by Molecular Devices
Sourced in United States, Denmark
The GenePix 4000B is a microarray scanner designed for high-throughput analysis of gene expression and protein arrays. It features a dual-laser excitation system and high-resolution imaging capabilities to accurately detect and quantify fluorescent signals on microarray slides.
7
Prism 5 by GraphPad
Sourced in United States, Germany, United Kingdom, Israel, Canada, Austria, Belgium, Poland, Lao People's Democratic Republic, Japan, China, France, Brazil, New Zealand, Switzerland, Sweden, Australia
GraphPad Prism 5 is a data analysis and graphing software. It provides tools for data organization, statistical analysis, and visual representation of results.
8
Innoscan 300 microarray scanner by Innopsys
Sourced in France, United States
The InnoScan 300 Microarray Scanner is a high-performance device used for the analysis of microarray samples. It is designed to capture and digitize images of microarray slides with exceptional precision and accuracy.
9
Protein array by RayBiotech
Sourced in United States
Protein array is a high-throughput analytical tool used to detect and quantify multiple proteins simultaneously in a sample. It consists of an ordered array of capture agents, such as antibodies or other protein-binding molecules, immobilized on a solid surface. Samples are introduced to the array, and the captured proteins are detected and measured using various detection methods.
10
Human phospho kinase array by R&D Systems
Sourced in United States, Germany
The Human Phospho-Kinase Array is a multiplex assay designed to detect and quantify the relative phosphorylation levels of 43 different human kinases and 2 related total proteins. It provides a snapshot of the activation state of multiple signaling pathways simultaneously in a single experiment.

More about "Protein Arrays"

Protein arrays are a powerful research tool that enable the simultaneous analysis of multiple proteins or protein interactions.
These arrays can be used to profile protein expression, identify protein-protein interactions, and screen for protein-ligand binding.
The ProteOn XPR36 Protein Interaction Array system and the Bio-Plex Protein Array System are examples of widely used protein array platforms that leverage XMAP technology to deliver high-throughput, multiplexed protein analysis.
Researchers can also leverage the ProtoArray platform and Bio-Plex protein arrays to gain deep insights into protein function and disease biomarkers.
The GenePix 4000B microarray scanner and GraphPad Prism 5 software are commonly used tools for analyzing and visualizing protein array data.
The InnoScan 300 Microarray Scanner is another popular instrument for high-resolution scanning and quantification of protein arrays.
PubCompare.ai's innovative AI-driven platform revolutionizes protein array research by helping scientists locate the best protocols from literature, pre-prints, and patents using smart comparisons.
This allows researchers to optimize their experiments and discover new insights more efficiently.
With PubCompare.ai's intuitive tools, scientists can explore the latest advancements in the field of protein arrays and stay at the forefront of this rapidly evolving research area.