Sold by: Sage Bionetworks
Open data
|
Deployed on AWS
The Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD) study provides
transcriptomic and chromatin accessibility data from single nuclei isolated
from postmortem brain tissue from individuals spanning the Alzheimer's disease
spectrum. The study supports investigation of cellular and molecular changes
associated with Alzheimer's disease progression and includes data generated as
part of the broader SEA-AD effort to characterize brain cell types,
disease-associated cellular states, and related neuropathology.
Overview
The Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD) study provides transcriptomic and chromatin accessibility data from single nuclei isolated from postmortem brain tissue from individuals spanning the Alzheimer's disease spectrum. The study supports investigation of cellular and molecular changes associated with Alzheimer's disease progression and includes data generated as part of the broader SEA-AD effort to characterize brain cell types, disease-associated cellular states, and related neuropathology.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- This study provides transcriptomic and chromatin accessibility data from single nuclei isolated from brain tissue of 84 aged individuals spanning the full spectrum of Alzheimer's disease severity and 5 neurotypical adult reference individuals, as well as genotype data for those individuals.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::sea-ad.opendata.sagebase.org
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://sea-ad.opendata.sagebase.org/
Resources
Vendor resources
Support
Managed By
Sage Bionetworks
How to cite
Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD) Raw Data was accessed on DATE from https://registry.opendata.aws/sage-sea-ad-atlas .
Similar products
The Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD) consortium strives to gain a deep molecular and cellular understanding of the early pathogenesis of Alzheimer's disease and is funded by the National Institutes on Aging (NIA U19AG060909). The SEA-AD datasets available here comprise single cell profiling (transcriptomics and epigenomics) and quantitative neuropathology. To explore gene expression and chromatin accessibility information, the single-cell profiling data includes: snRNAseq and snATAC-seq data from the SEA-AD donor cohort (aged brains which span the spectrum of Alzheimer's Disease pathology) and neurotypical reference brains. To explore key pathological proteins and cell types of interest to Alzheimer's disease, the neuropathology data includes: full resolution brightfield images, images processed and segmented in HALO image analysis software, image annotations, and quantification summary files for the relevant stains including Abeta (6E10), IBA1, a-Synuclein, G[...]
The Seattle Alzheimer's Disease Brain Cell Atlas Integrative Analysis Center
(SEA-AD IAC) reprocesses datasets from SEA-AD and other large-scale
Alzheimer's disease and related dementia studies to support harmonized
cross-study analyses. The study provides uniformly processed single-cell
genomics and multiomic data, harmonized metadata, and representations of
disease pathology mapped to highly annotated BRAIN Initiative Cell Atlas
Network (BICAN) and SEA-AD cell classifications. These resources support
investigation of cell-type-specific molecular changes across Alzheimer's
disease cohorts and stages of disease progression.
This bucket contains multiple datasets (as Quilt packages) created by the Allen Institute for Cell Science. The types of data included in this bucket are listed below:
1) Field of view or cropped images of cells
2) Segmentations of structures in the images (e.g., boundaries of cells, DNA, other intracellular structures, etc.)
3) Processed versions of the above images and segmentations
4) Machine learning predictions and labels of the data listed above
5) Models trained on the previously listed data
6) Additional supporting non-image data related to the above listed data types (e.g., gene expression data, whole genome sequencing data, features derived from the images or model predictions, metadata)
7) Simulation, analysis, and visualization data of in silico cell structures, cells, and cell populations
External funding:
The generation of some datasets was supported by the National Human Genome Research Institute of the National Institutes under Award Number UM1HG011593. The cont[...]
Probabilistic address-level storm forecasts from per-peril machine-learning models, 24 hours to 10 days ahead, refreshed 4 times a day. Each address carries its structure replacement value and people. $0.05 per address.