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21
datasets available to search
ShareScore release 0.9.0
Dataset results
21 results for “ligand identification”
Fig. 6. Overlapped top-scored poses for ligands 19 in Monoterpene indole alkaloids from Vinca minor L. (Apocynaceae): Identification of new structural scaffold for treatment of Alzheimer's disease
Fig. 6. Overlapped top-scored poses for ligands 19 (blue) and crystal structure of tacrine (green) in the active site of hBuChE (PDB ID: 4BDS). Amino acid residues involved in the interactions with ligands are depicted as either grey or yellow (catalytic triad) lines. The rest of the receptor is displayed in light-grey cartoon conformation. The Figure was created with The PyMOL Molecular Graphics System, Version 2.4.1, Schr¨odinger, LLC. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Data from: High specificity in circulating tumor cell identification is required for accurate evaluation of programmed death-ligand 1
Background: Expression of programmed-death ligand 1 (PD-L1) in non-small cell lung cancer (NSCLC) is typically evaluated through invasive biopsies; however, recent advances in the identification of circulating tumor cells (CTCs) may be a less invasive method to assay tumor cells for these purposes. These liquid biopsies rely on accurate identification of CTCs from the diverse populations in the blood, where some tumor cells share characteristics with normal blood cells. While many blood cells can be excluded by their high expression of CD45, neutrophils and other immature myeloid subsets have low to absent expression of CD45 and also express PD-L1. Furthermore, cytokeratin is typically used to identify CTCs, but neutrophils may stain non-specifically for intracellular antibodies, including cytokeratin, thus preventing accurate evaluation of PD-L1 expression on tumor cells. This holds even greater significance when evaluating PD-L1 in epithelial cell adhesion molecule (EpCAM) positive and EpCAM negative CTCs (as in epithelial-mesenchymal transition (EMT)). Methods: To evaluate the impact of CTC misidentification on PD-L1 evaluation, we utilized CD11b to identify myeloid cells. CTCs were isolated from patients with metastatic NSCLC using EpCAM, MUC1 or Vimentin capture antibodies and exclusion-based sample preparation (ESP) technology. Results: Large populations of CD11b+CD45lo cells were identified in buffy coats and stained non-specifically for intracellular antibodies including cytokeratin. The amount of CD11b+ cells misidentified as CTCs varied among patients; accounting for 33–100% of traditionally identified CTCs. Cells captured with vimentin had a higher frequency of CD11b+ cells at 41%, compared to 20% and 18% with MUC1 or EpCAM, respectively. Cells misidentified as CTCs ultimately skewed PD-L1 expression to varying degrees across patient samples. Conclusions: Interfering myeloid populations can be differentiated from true CTCs with additional staining criteria, thus improving the specificity of CTC identification and the accuracy of biomarker evaluation.
Data from: High specificity in circulating tumor cell identification is required for accurate evaluation of programmed death-ligand 1
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Identification of an alternative ligand binding pocket in PPAR-γ and its corelated selective agonist for promoting beige adipocyte differentiation
GEO Series GSE267657. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification of Notch ligand useage by splenic B cells using Dll1 and Dll4 Notch ligand blockade.
GEO Series GSE274991. Mus musculus. 45 samples. Type: Expression profiling by high throughput sequencing.
Identification of the Notch ligand DLK1 as an immunotherapeutic target and regulator of tumor cell plasticity and chemoresistance in adrenocortical carcinoma
GEO Series GSE294644. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Identification of Ligand-Receptor Pairs that Drive Human Astrocyte Development
GEO Series GSE213245. Homo sapiens. 101 samples. Type: Expression profiling by high throughput sequencing.
hGRβ: Elucidation of its Role in Transcriptional Regulation and Identification of a Ligand
GEO Series GSE5310. Homo sapiens. 24 samples. Type: Expression profiling by array.
Dataset for "Identification of Potential inhibitors of the SARS-CoV2 NSP13 Helicase via Structure-Based Ligand Design, Molecular Docking and Nonequilibrium Alchemical Simulations"
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Identification of Murine Uterine Genes Regulated in a Ligand-Dependent Manner by the Progesterone Receptor.
GEO Series GSE39920. Mus musculus. 24 samples. Type: Expression profiling by array.
Identification of gene expression changes induced by ligands for RXR and its partners in differentiating human monocyte-derived dendritic cells
GEO Series GSE48573. Homo sapiens. 30 samples. Type: Expression profiling by array.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer [NRG1_MyCCaP_10722-AH]
GEO Series GSE271740. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer (ASPN)
GEO Series GSE271579. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Identification of a DAMP receptor and its cognate peptide ligand in sweet potato (Ipomoea batatas)
GEO Series GSE227409. Ipomoea batatas. 12 samples. Type: Expression profiling by high throughput sequencing.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer (NRG1)
GEO Series GSE271580. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer [VCaP_EnzaResistant_9817-HYW]
GEO Series GSE271742. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer [ASPN_MyCCaP_10111-AH]
GEO Series GSE271738. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer [LNCaP_EnzaResistant_9445-HYW]
GEO Series GSE271739. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification of Ligands for the human gamma-delta TCR
GEO Series GSE39709. Homo sapiens. 12 samples. Type: Expression profiling by array.
Identification of Asporin as a HER3 ligand that exposes a therapeutic vulnerability in metastatic prostate cancer
GEO Series GSE284054. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.