Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA107635 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we screened 90 antibodies directed against a panel of cell surface markers as well as 4 isotype controls to compare resting human naive CD4+ T cells versus CD4+ T cells activated for 48 h with anti-CD3/anti-CD28 coated beads. Keywords: protein profiling, response to stimulus
2008-03-03 | GSE10665 | GEO
Project description:We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we screened 90 antibodies directed against a panel of cell surface markers as well as 4 isotype controls to compare human naive CD4+ T cells activated in the presence or absence of TGF-β. Keywords: response to stimulus
2008-03-08 | GSE10762 | GEO
Project description:We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we screened 90 antibodies directed against a panel of cell surface markers as well as 4 isotype controls to compare human naive CD4+ T cells activated in the presence or absence of TGF-β. Keywords: response to stimulus Two-condition experiment, with or without TGF-β. Biological replicates: 3 normal human donors, each donor served as an internal control. One replicate per array. One of the biological replicates was performed as a dye-swap to monitor dye-bias.
2010-05-26 | E-GEOD-10762 | biostudies-arrayexpress
Project description:We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we screened 90 antibodies directed against a panel of cell surface markers as well as 4 isotype controls to compare resting human naive CD4+ T cells versus CD4+ T cells activated for 48 h with anti-CD3/anti-CD28 coated beads. Keywords: protein profiling, response to stimulus Two-condition experiment, activated versus resting cells. Biological replicates: 3 normal human donors, each donor served as an internal control. One replicate per array. One of the biological replicates was performed as a dye-swap to monitor dye-bias. We also performed a self-self comparison between activated cells from two different donors.
2010-05-26 | E-GEOD-10665 | biostudies-arrayexpress
Project description:DIPG is a devastating paediatric and young adult brainstem tumour with no cure and a median overall survival of 9 months. Cellular immunotherapy approaches require specific targeting of unique and tumour specific cell surface antigens, however, there is a paucity of known targets for DIPG. Here we used a proteomics platform approach to interrogate an array of patient derived DIPG cell lines to facilitate a multi-omics based approach to identify cell surface protein candidates enriched or unique to DIPG.
2023-09-25 | PXD038271 | Pride
Project description:Array CGH of interspecific hybrid yeasts using multi-species array platform
| PRJNA152665 | ENA
Project description:We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we coupled 44 of the tags to aliquots of an IgG1 isotype negative control antibody and the 4 remaining tags we coupled to anti-CD3, anti-CD4, anti-CD19, and anti-CD20 to create a 48-plex HIT cocktail. We then used this cocktail to stain 1 x 10^6 T or B cells and during amplification incorporated either cyanine 3-UTP (Cy3-UTP) or Cy5-UTP. Additionally, we snap froze and thawed an aliquot of the cocktail (FT). Keywords: protein profiling, cell type comparison Two-condition experiment, T cells versus B cells, including dye-swaps and self-self experiments. We also tested an array that had been frozen and thawed.
2010-05-26 | E-GEOD-10761 | biostudies-arrayexpress
Project description:Leveraging AAV's versatile tropism and labeling capacity, we expanded the scale of in vivo CRISPR screen with single-cell transcriptomic phenotyping across embryonic to adult brains and peripheral nervous systems. Through extensive tests of 86 AAV serotypes, combined with transposon systems, we substantially amplified labeling and accelerated in vivo gene delivery from weeks to days. Our proof-of-principle in utero screen identified the pleiotropic effects of Foxg1, highlighting its tight regulation of distinct networks essential for cell fate specification of Layer 6 corticothalamic neurons. Notably, our platform can label >6% of cerebral cells, surpassing the current state-of-the-art efficacy at <0.1% by lentivirus, to achieve analysis of over 30,000 cells in one experiment and enable massively parallel in vivo Perturb-seq. Compatible with various phenotypic measurements (single-cell or spatial multi-omics), it presents a flexible approach to interrogate gene function across cell types in vivo, translating gene variants to their causal function.
2023-12-05 | GSE249416 | GEO
Project description:We have developed a multi-analyte fluid-phase protein array technology termed high-throughput immunophenotyping using transcription (HIT). This method employs a panel of monoclonal antibodies, each tagged with a unique oligonucleotide sequence that serves as a molecular barcode. After staining a sample, T7 polymerase amplifies the tags which are then hybridized to a DNA microarray for indirect measurement of each analyte. Here we coupled 44 of the tags to aliquots of an IgG1 isotype negative control antibody and the 4 remaining tags we coupled to anti-CD3, anti-CD4, anti-CD19, and anti-CD20 to create a 48-plex HIT cocktail. We then used this cocktail to stain 1 x 10^6 T or B cells and during amplification incorporated either cyanine 3-UTP (Cy3-UTP) or Cy5-UTP. Additionally, we snap froze and thawed an aliquot of the cocktail (FT). Keywords: protein profiling, cell type comparison
2008-03-08 | GSE10761 | GEO
Project description:The recent advance of single cell sequencing (scRNA-seq) technology such as Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) allows researchers to quantify cell surface protein abundance and RNA expression simultaneously at single cell resolution. Although CITE-seq and other similar technologies have quickly gained enormous popularity, novel methods for analyzing this new type of single cell multi-omics data are still in urgent need. A limited number of available tools utilize data-driven approach, which may undermine the biological importance of surface protein data. In this study, we developed SECANT, a biology-guided SEmi-supervised method for Clustering, classification, and ANnoTation of single-cell multi-omics. SECANT can be used to analyze CITE-seq data, or jointly analyze CITE-seq and scRNA-seq data. The novelties of SECANT include 1) using confident cell type labels identified from surface protein data as guidance for cell clustering, 2) providing general annotation of confident cell types for each cell cluster, 3) fully utilizing cells with uncertain or missing cell type labels to increase performance, and 4) accurate prediction of confident cell types identified from surface protein data for scRNA-seq data. Besides, as a model-based approach, SECANT can quantify the uncertainty of the results, and our framework can be easily extended to handle other types of multi-omics data. We successfully demonstrated the validity and advantages of SECANT via simulation studies and analysis of public and in-house real datasets. We believe this new method will greatly help researchers characterize novel cell types and make new biological discoveries using single cell multi-omics data.
2022-09-03 | GSE168264 | GEO