Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9
datasets available to search
ShareScore release 0.7.1
Dataset results
9 results for “bacterial display”
Data for: High-throughput profiling of sequence recognition by tyrosine kinases and SH2 domains using bacterial peptide display
<p>Tyrosine kinases and SH2 (phosphotyrosine recognition) domains have binding specificities that depend on the amino acid sequence surrounding the target (phospho)tyrosine residue. Although the preferred recognition motifs of many kinases and SH2 domains are known, we lack a quantitative description of sequence specificity that could guide predictions about signaling pathways or be used to design sequences for biomedical applications. Here, we present a platform that combines genetically-encoded peptide libraries and deep sequencing to profile sequence recognition by tyrosine kinases and SH2 domains. We screened several tyrosine kinases against a million-peptide random library and used the resulting profiles to design high-activity sequences. We also screened several kinases against a library containing thousands of human proteome-derived peptides and their naturally-occurring variants. These screens recapitulated independently measured phosphorylation rates and revealed hundreds of phosphosite-proximal mutations that impact phosphosite recognition by tyrosine kinases. We extended this platform to the analysis of SH2 domains and showed that screens could predict relative binding affinities. Finally, we expanded our method to assess the impact of non-canonical and post-translationally modified amino acids on sequence recognition. This specificity profiling platform will shed new light on phosphotyrosine signaling and could readily be adapted to other protein modification/recognition domains.</p>
Data for: High-throughput profiling of sequence recognition by tyrosine kinases and SH2 domains using bacterial peptide display
Open the record for dataset details and reuse information.
Flow Cytometry Data from "Bacterial cell surface characterization by phage display coupled to high-throughput sequencing"
<p>This record contains the flow cytometry data from the manuscript "Bacterial cell surface characterization by phage display coupled to high-throughput sequencing."</p> <p>Files are in <a href="https://docs.flowjo.com/flowjo/advanced-features/fj-acs/">Archive Cytometry Standard (ACS) format</a> . Each <code>.acs</code> file is a zip container which holds both the raw <code>.fcs</code> files and a FlowJo workspace (<code>.wsp</code>) file.</p> <p>Keywords in the workspace file identify which primary antibody (<code>primary</code>) was used and which cell genotype (<code>strain</code>) was used for each sample. The workspace also encodes the gating scheme and compensation matrix applied to each sample. Plots in the manuscript are exported from Layout views in the workspace.</p>
Bacterial cell surface characterization by phage display coupled to high-throughput sequencing
<p>This record contains the processed high-throughput sequencing data from the manuscript "Bacterial cell surface characterization by phage display coupled to high-throughput sequencing." Data was generated using the <a href="https://github.com/caseygrun/phage-seq">Snakemake workflows and Jupyter notebooks in this repository</a> and is intended to be analyzed further using the notebooks in that repository</p> <p>Each tarball within this record, when expanded, populates the <code>results</code> and <code>intermediate</code> directories of one of those workflows: <code>alpaca-library</code> ,<code>panning-small</code>, <code>panning-massive</code>, or <code>panning-extended</code>. Clone the <a href="https://github.com/caseygrun/phage-seq"><code>phage-seq</code> repository</a>, then download one or more of these tarballs to the corresponding directory of that directory. For example:</p> <blockquote> <pre><code>git clone https://github.com/caseygrun/phage-seq.git cd panning-extended wget https://zenodo.org/records/11246658/files/panning-extended-results.tar.gz tar vzxf panning-extended-results.tar.gz</code></pre> </blockquote> <p>More detailed instructions are included in the README for the <a href="https://github.com/caseygrun/phage-seq"><code>phage-seq</code> repository</a>.</p>
Genome-wide mapping of fluoroquinolone-induced gyrase cleavage sites displays drug specific effects that correlate with bacterial persistence
GEO Series GSE206608. Escherichia coli. 72 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Next Generation Sequencing of bacterial surface-displayed ENAH EVH1 ligand peptides after a FACS titration sort (MassTitr)
GEO Series GSE166938. Escherichia coli. 97 samples. Type: Other.
Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries [HiSeq]
GEO Series GSE94529. Escherichia coli str. K-12 substr. W3110. 4 samples. Type: Other.
Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries
GEO Series GSE94531. Escherichia coli str. K-12 substr. W3110. 12 samples. Type: Other.
Next-Generation Antimicrobial Discovery through Bacterial Self-Screening of Surface-Displayed Peptide Libraries [MiSeq]
GEO Series GSE94530. Escherichia coli str. K-12 substr. W3110. 8 samples. Type: Other.
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.