To complement the protein quantification and histological analysis of tissues from this cohort, RNA Sequencing was run on 377 samples taken from cortical grey (parietal and temporal) and white matter (parietal) and hippocampus, with a minimum of 30M 50bp paired-end reads per sample.
Searching is available using three methods: (1) Gene Search, when looking for a specific gene of interest, (2) Differential Search, to find enhanced gene expression when comparing different brain regions and donors and 3) Correlative Search, to find regions and donors that exhibit similar gene expression to a "seed gene" selected from the results of a Gene or a Differential search.
To browse curated differential searches, click on the desired search term from the RNA-Seq landing page.
When searching for a specific gene of interest, type the unique identifier into the "Filter by Gene Name, Gene Symbol or Entrez Gene ID" text box and either hit enter or click "Search". You can also narrow your search by selecting a brain region(s) and/or filtering by donor. Default searches query over all donors and all regions. Your search results will open in a heat map viewer.
Without a specific gene marker to initiate your search, a differential search can be useful in that it will look for genes enhanced in the brain region or donor you are interested in. To perform a differential search, you must select target and contrasting brain regions and donors. Select one or more brain regions from the drop-down menus. Filtering by donors requires selecting from the matrix that opens when you click in either text box. The toggle switch to the right of the text boxes will exchange the Target and Contrast selections.
Once you have selected your search criteria, clicking "Search" will open up your results in a heatmap viewer.
Each of the different search methods provides an opportunity to limit the donors based on metadata collected in the study. To filter the data, click in the text box associated with donor choice to open a matrix. Filter the parameters by selecting the arrow in the column headers to choose parameters. Filter parameters are listed in the table below. For more information regarding the data collected on this cohort, please see the ACT Cohort whitepaper in Documentation.
Unique Allen Institute Identifier
Age in years
Linear from ages 72-89; binned at 90-94, 95-99, and 100+
Self-reported number of years of education completed
Did this person report a TBI?
Number of self-reported Traumatic Brain Injuries
Age at 1st TBI
Age at which first TBI with loss of consciousness was reported
Ordinal score of length of loss of consciousness
0 (none or unknown), 1 (a few sec or <), 2 (min or <), 3 (1-2 min), 4 (3-5 min), 5 (6-9 min), 6 (10 min-1 hr), and 7 (> 1 hr)
Any dementia noted during subject's tenure in the ACT study.
Classification of diagnosis according to "Diagnostic and Statistical Manual of Mental Disorders, 4th Edition" for dementia presence and subtype
Alzheimer's Disease, Multiple Etiologies, No Dementia, Other Medical, Other or Unknown Cause, Vascular
Presence of at least one allele of this gene known to be involved in late onset Alzheimer's disease
Yes, No, N/A
Staging of severity of amyloid deposition, as defined by CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) score.
0 (none) - 3 (severe)
Postmortem scoring of neurofibrillary tangles in different brain regions
Braak stages 1 and 2 indicate neurofibrillary tangle presence confined primarily to the transentorhinal region of the brain, stages 3 and 4 indicate limbic region involvement i.e. the hippocampus, and stages 5 and 6 indicate extensive neocortical involvement
Likelihood that clinical dementia is a result of Alzheimer's disease
Clinical description of probable or possible Alzheimer's disease based on NINCDS/ADRDA criteria
0 (no dementia), 1 (probable Alzheimer's disease), 2 (possible Alzheimer's disease), and 3 (dementia, type unknown)
Once you have conducted a gene or differential search or have selected one of the curated searches, your results will be loaded into a heatmap viewer. Once you have clicked on a data point in the heat map, metadata will be populated in the summary above the heatmap.
The metadata summary outlines several of the donor categories, metadata on the gene (including symbol, name, expression values and related data) and the find correlates and Genome Browser functions.
The column headers on the x-axis of the heat map are a feature that can be changed by the user. By default, the column headers are Brain Region, Dementia? and Age (in that order), but any of the donor parameters can be used to sort the columns. Clicking the arrow in the box in the upper left-hand corner of the heatmap will open a list of groupings including any customized groupings that the user has created. To create a new grouping, click on "[Create new grouping...]", and a window will open allowing you to create a new grouping. Remember to save your selection.
To remove a grouping, hover the mouse over the grouping and a garbage can will appear, click the can to remove the grouping.
To restrict the amount of data that are displayed in the heatmap, select the "Filter Heatmap" button below the heatmap. Filtering your heatmap is a two-step process: first, select the "..." box to restrict your features, making sure to save your selections, and then toggle the filter heatmap feature between "On" and "Off" by clicking the "Filter Heatmap" button.
Once you have found the data that you are interested in downloading and analyzing off-line, click on the "Download this data" link. There is a limit to the amount of data you can download at one time, choosing the start row and number of rows (up to 2000) a download of three .csv files; one with metadata for the rows, one for the columns and a matrix containing the FPKM values.
To change the contrast of the heatmap display, click and drag the slider bars in the color scale below the heatmap. Clicking on the scale will open a window allowing the user to choose from several color scales or the log2 FPKM view.
Once you have found a gene of interest either by performing a gene or differential search, you can look for brain regions or donors that show a similar pattern of gene expression using the "Find Correlates" feature.
From the heatmap, click on a gene to load that "seed gene" into the search box. You have the option to select a brain region(s) and or donor metadata before clicking "Search". All genes with similar expression patterns as your seed gene will then be displayed in the heat map. If you filtered your search by region or donor, your heatmap will only display those features. Turn off the "Filter Heatmap" function to see all the data.
Once you have selected a seed gene and donor (by clicking on the heatmap), that gene and donor will be available to load into the Genome Browser. If specific donors are not listed in the Donor text box, only the donor associated with the data point selected will be loaded into the genome browser. To load more than one donor, select multiple donors from the donor drop down menu.