19 datasets

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Introduction<p>The emergence of SARS-CoV-2 Omicron subvariants has presented a significant challenge to global health, as these variants show resistance to most antibodies developed early in the pandemic. Therapeutic antibodies with potent efficacy to the Omicron variants are urgently demanded.</p>Methods<p>Utilizing the rapid antibody discovery platform, Berkeley Lights Beacon, we isolated two mo

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Introduction<p>The emergence of SARS-CoV-2 Omicron subvariants has presented a significant challenge to global health, as these variants show resistance to most antibodies developed early in the pandemic. Therapeutic antibodies with potent efficacy to the Omicron variants are urgently demanded.</p>Methods<p>Utilizing the rapid antibody discovery platform, Berkeley Lights Beacon, we isolated two mo

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Introduction<p>The emergence of SARS-CoV-2 Omicron subvariants has presented a significant challenge to global health, as these variants show resistance to most antibodies developed early in the pandemic. Therapeutic antibodies with potent efficacy to the Omicron variants are urgently demanded.</p>Methods<p>Utilizing the rapid antibody discovery platform, Berkeley Lights Beacon, we isolated two mo

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

Introduction<p>The emergence of SARS-CoV-2 Omicron subvariants has presented a significant challenge to global health, as these variants show resistance to most antibodies developed early in the pandemic. Therapeutic antibodies with potent efficacy to the Omicron variants are urgently demanded.</p>Methods<p>Utilizing the rapid antibody discovery platform, Berkeley Lights Beacon, we isolated two mo

HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Single-cell RNA sequencing

<p>Single-cell RNA sequencing (scRNA-seq) methods are widely used in life sciences, including immunology. Typical scRNA-seq analysis pipelines quantify the abundance of particular transcripts without accounting for alternative splicing. However, a well-established pan-leukocyte surface marker, CD45, encoded by the PTPRC gene, presents alternatively spliced variants that define different immune cel

HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Single-cell RNA sequencing

<p>Single-cell RNA sequencing (scRNA-seq) methods are widely used in life sciences, including immunology. Typical scRNA-seq analysis pipelines quantify the abundance of particular transcripts without accounting for alternative splicing. However, a well-established pan-leukocyte surface marker, CD45, encoded by the PTPRC gene, presents alternatively spliced variants that define different immune cel

HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This repository contains the raw datasets, images, and associated analyses generated in this study evaluating the effect of human metapneumovirus (hMPV) infection on bone marrow-derived macrophages (BMDMs). The repository includes the underlying data associated with both the main and supplementary figures presented in the manuscript. The deposited materials include Excel files contain

HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Single-cell RNA sequencing

<p>Single-cell RNA sequencing (scRNA-seq) methods are widely used in life sciences, including immunology. Typical scRNA-seq analysis pipelines quantify the abundance of particular transcripts without accounting for alternative splicing. However, a well-established pan-leukocyte surface marker, CD45, encoded by the PTPRC gene, presents alternatively spliced variants that define different immune cel

HKU DataHub + figshare + Loughborough Research Repository2026 · Single-cell RNA sequencing

<p dir="ltr">This dataset accompanies the study “Atlas of the immune cell development in the human fetal blood”. It includes processed single-cell RNA sequencing data, T-cell and B-cell receptor annotations, flow cytometry data, Olink normalized protein expression (NPX) measurements, single-cell pseudobulk expression data, bulk transcriptomic data from PHA-stimulated peripheral blood mononuclear c

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">Raw data for manuscript "Pre-existing systemic inflammation modulates acute neuroinflammatory responses following mild traumatic brain injury"</p>

figshare2026 · Astronomical catalogue

<p dir="ltr">Venetoclax (VEN), in combination with hypomethylating agent, has become the standard of care for unfit and elderly patients with acute myeloid leukemia (AML) but relapse is common. Mechanisms of drug resistance are thought to be intrinsic to leukemic cells. We reported a hitherto undescribed mechanism of venetoclax resistance (VR) pertinent to CD8⁺ T cells activity and iden

figshare2026 · Astronomical catalogue

<p dir="ltr">PPI network of highly spatial variable genes consistent in both Vedo CosMx cohort 1 and 2</p>

figshare2026 · Astronomical catalogue

<p dir="ltr"> and contain Seahorse extracellular flux data from a number of plates run on a Seahorse XFp analyzer. Cells were pretreated with media or inhibitor and then treated with OxLDL to determine kinetic metabolic responses.</p><p dir="ltr">Column 1 is an auto-generated data point number.</p><p dir="ltr">Column 2 [Measurement] is the sequential measurement number for each assay.</p><p dir="l

figshare2026 · Astronomical catalogue

<p dir="ltr"> contains data from microscopy experiments. Cells were treated with media or OxLDL and stained for mitochondrial reactive oxygen species production. Fluorescence values were recorded in ImageJ and corrected against background.</p><p dir="ltr">Column 1 [ID] is the subject ID number.</p><p dir="ltr">Column 2 [Med] is the corrected fluorescence intensity for media-treated cells.</p><p di

figshare2026 · Astronomical catalogue

<p dir="ltr"> and contain qPCR data from gene expression experiments. Cells from Seahorse assays were lysed in Trizol and processed for mRNA isolation and reverse transcription to cDNA. Both datasets are similarly structured.</p><p dir="ltr">Column 1 [Sample] is an internal number used for sample storage and location.</p><p dir="ltr">Column 2 [Subj] is a recoded subject number used for pairing in

figshare2026 · Astronomical catalogue

<p dir="ltr"> and contain Seahorse extracellular flux data from a number of plates run on a Seahorse XFp analyzer. Cells were pretreated with media or inhibitor and then treated with OxLDL to determine kinetic metabolic responses.</p><p dir="ltr">Column 1 is an auto-generated data point number.</p><p dir="ltr">Column 2 [Measurement] is the sequential measurement number for each assay.</p><p dir="l

figshare2026 · Astronomical catalogue

<p dir="ltr"> contains data from microscopy experiments. Cells were treated with DiI-labeled OxLDL in the presence or absence of inhibitor, and counts reflect the number of cells positive for OxLDL.</p><p dir="ltr">Column 1 [ID] is the subject ID number.</p><p dir="ltr">Column 2 [Treat] is the treatment condition. [OxLDL = DiI-OxLDL only; Mdivi = DiI-OxLDL + Mdivi-1]</p><p dir="ltr">Column 3 [Perc

figshare2026 · Astronomical catalogue

<p dir="ltr"> and contain qPCR data from gene expression experiments. Cells from Seahorse assays were lysed in Trizol and processed for mRNA isolation and reverse transcription to cDNA. Both datasets are similarly structured.</p><p dir="ltr">Column 1 [Sample] is an internal number used for sample storage and location.</p><p dir="ltr">Column 2 [Subj] is a recoded subject number used for pairing in

Teesside University Research Data Repository2020 · dataset

This dataset includes the cytokine secretion data as concentrations measured from each cell culture supernatant. The data corresponds to Figures 4 and 5 and Table 1 in the manuscript, in which the data is presented as secretion indices calculated from the cytokine concentrations.