The Atlas Explorer

The Atlas Explorer incorporates an easy-to-use search engine which allows users to search for markers or cell types of interest and view summary data visualizations across the following data types:

• Single-nucleus RNA-seq
• Single-cell RNA-seq
• Regional transcriptomics

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Summary of participants by data type

A summary of the data available in the Atlas Explorer is available on the Kidney Tissue Atlas homepage.

The single-nucleus and single-cell datasets are described in detail in this preprint (Note: the v1.0 Atlas Explorer includes only a subset of the samples described); the manuscript also details the approach to assigning cell types to the clustered data.

The cell types noted in the application were established as a joint effort with the HuBMAP Consortium. The HuBMAP ASCT+B Reporter tool can be used to visualize the  anatomical structures, cell types, and biomarkers (ASCT+B) authored by the domain experts. The cell types and anatomical structures are also being represented in the Cell Ontology and Uberon, respectively.

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Search by gene

Searching for a gene presents the user with various visualizations and data tables displaying how the gene is expressed in the selected data type.

Choosing the single-nucleus or single-cell RNA-seq data types yields a visualization page with a "reference UMAP" showing how the full dataset was clustered as well as the inferred cell type/state of each cluster (see this preprint for more details on the clustering and cell attribution methods); a feature plot showing the expression of the selected gene, and a table detailing the expression of the selected gene in each cluster (compared to all other clusters) (Figure 1). Users can also filter the dataset down to only include AKI, CKD, or healthy reference samples - this updates the gene feature plot and the table (but not the reference UMAP image).

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Searching for a gene and choosing the regional transcriptomics data type yields a visualization page with a "bubble plot" showing the expression of the selected gene across all tissue types (AKI, CKD, and healthy reference tissue) and microdissected regions, and a table detailing the expression of the selected gene in each region compared to all other regions (Figure 2). Users can also filter the dataset down to only include AKI, CKD, or healthy reference samples.

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Search by cell type

Users can also begin their search with a cell type instead of a gene. After searching for a cell type or selecting one from the renal corpuscle or nephron schemata (Figure 3), a user can see all of the data currently mapped to that cell type. As of Atlas Explorer v1.0, the available data will be single-nucleus and single-cell clusters or microdissected regions. After choosing one of the clusters/regions, users are presented with a table showing which genes are most differentially expressed in the selected cluster/region.

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The Atlas Repository

The Atlas Repository provides access to the dataset files being generated by KPMP. The datasets available in the repository are a combination of raw and processed data from KPMP participant biopsies and reference tissue samples. Datasets are routinely added as they are generated and have completed a quality control process. Some data files shown in the repository are "controlled access", meaning they can only be retrieved after a data use agreement is in place between KPMP and your organization. A summary of the data available in the repository is available on the Kidney Tissue Atlas homepage.

JUMP TO:

• Filtering

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NAVIGATION

When users enter the Atlas Repository, there are three primary segments of the page. At the top, users can navigate through the Atlas to the Dashboard, Explorer, Repository, and Spatial Viewer applications (Atlas Navigation) as well as navigate to our Help section. Within the page, on the left, is a filter panel allowing users to filter their cohort of interest. To the right is Citation guidance for using KPMP data (Citing KPMP), an index of available data packages (this list changes based on selected filter options) containing information on each package’s Dataset metadata (List of available data packages), options for changing the viewable information within the table (click the three lines, or hamburger), sorting options (click the icon with a down arrow and lines all the way to the right), a CSV download button for downloading a list of selected files (the button with a download icon and the text CSV), and button to download a script allowing for a bulk download of selected files (labeled bulk download).

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FILTERING

Users may immediately filter to the most recently released data packages by clicking the "Recently Released" check box at the top of the filtering panel. Additional filtering options are organized into three main sections:

• Participant metadata
• Clinical metadata
• Data set metadata

Within each section the options are organized alphabetically for ease of navigation.

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Filtering Instructional Video (1:55)

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PARTICIPANT METADATA

• Age: age is a binned value in the publicly available data
• Enrollment Category: The disease or reference study in which participants were enrolled into KPMP (AKI, CKD, DM-R, Healthy Reference). Other miscellaneous categories are based on non-KPMP sample disease categories.
• Primary Adjudication Category: The disease designation based on KPMP internal adjudication efforts
• Race: self-reported from KPMP participants
• Sex: sex at birth

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CLINICAL METADATA

• A1c: reported as binned categories of percent
• Albuminuria: reported as binned categories in units of mg/g
• Baseline eGFR: reported as binned categories in ml/min/1.73m2. Baseline eGFR for AKI calculated with the race-free CKD-EPI equation using: 1)  median of the last 1-3 outpatient serum creatinine measurements from day 7 to 365 prior to enrollment, or 2) imputed serum creatinine when there are no serum creatinine values available for 7 to 365 days prior to enrollment
• Diabetes Duration: Reported as binned categories in Years
• Diabetes History: Has your doctor or health care provider told you that you have diabetes? Responses: Yes, No, or Don’t know.
• Hypertension Duration: Reported as binned categories in Years
• Hypertension History: Has a doctor or other health care provider ever told you that you have high blood pressure or hypertension? Responses: Yes, No, or Don’t know.
• KDIGO Stage: Only for AKI participants. Maximum KDIGO stage by serum creatinine.
• RAAS Blockade: Yes or No on a RAAS Blockade. RAAS blockade is defined by the third level of ATC code from RxCUI: ace inhibitors, angiotensin ii receptor blockers, or aldosterone antagonists excluding Amlodipine, hydrochlorothiazide, chlorthalidone/triamterene, and Hydrochlorothiazide/Triamterene
• Proteinuria: reported as binned categories in units of mg

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DATASET METADATA

• Access: Controlled or Open access. Controlled access requires a Data Use Agreement be put into place for KPMP to share this type of data. Please complete the Controlled Access Request for any controlled access data needs. 
• Data Category: Biomarker, Clinical, Molecular, Pathology
• Data Format: KPMP data comes in various file formats, all available formats are listed here.
• Data Type: 
  
  • Biomarker data types: Biomarker Data, Metabolomics, Proteomics, Transcriptomics
  • Clinical: Clinical Study Data
  • Molecular: Epigenetics, Imaging, Proteomics, Transcriptomics
  • Pathology: Imaging, Pathology Study Data
• DOIs: Any files currently associated with a DOI for a KPMP publication will be assigned to all associated DOIs
• Experimental Strategy: This is a list of all the available technologies KPMP samples have been run on to date.
• Platform: Technology platform name
• Protocol: Indicates which study protocol a sample was enrolled under:  HRT Living Donor Protocol, HRT Percutaneous Nephrolithotomy Protocol, KPMP Main Protocol, KPMP Pilot 1 Protocol, KPMP Pilot1v2 Protocol, Other (non-KPMP) Protocol
• Sample Type: Not all samples come from the KPMP Main Protocol following our participant biopsy protocol. When initially establishing KPMP alternate sample types were included: Transplant Pre-perfusion Biopsy, Intra-operative Biopsy, Percutaneous Needle Biopsy, Intra-operative Needle Biopsy, Tumor Nephrectomy, Deceased Donor Nephrectomy, Partial Tumor Nephrectomy, Total Tumor Nephrectomy, Transplant Surveillance Biopsy, Biopsy
• Tissue Source: identifies, at a high level, the place a specific tissue was supplied.  The KPMP main study samples are sourced from KPMP recruitment sites or KPMP Healthy Reference Sites. Additional tissue has been supplied by DiaComp (Diabetic Complications Consortium), KPMP Tissue Interrogation Sites, or KPMP pilot tissue supplied by KPMP nephrectomy tissue from the University of Michigan.
• Workflow Type: additional detailed information coming from the Experimental Strategy. For example, Light Microscopic Whole Slide Images as an Experimental Strategy is made up of multiple stain types: Frozen H&E stain, H&E stain, PAS stain, SIL stain, TOL stain, TRI stain, and Other stain types.

Multi-select options from any of these sections will help users narrow down to a specific cohort of participants and only focus on the data types of interest.

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DATA TABLE

The data table shows the list of data available in the Atlas Repository based on the selected filtering options.

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DATA TABLE COLUMN HEADERS

• *Access: indicates if files are open or controlled access. Open access files may be downloaded directly from the Atlas Repository. Controlled access files require a Data Use Agreement to be in place with the user’s institution and KPMP.
• *Participant ID: KPMP identification used to align data on the participant level.
• File UUID: a Universally Unique Identifier (UUID) randomly generated to keep all files unique.
• *File Name: name of the file or package generally created at the data generation site.
• *Data Category: there are currently 4 distinct types of data categories: Biomarker, Clinical, Molecular, Pathology
• *Data Format: File format of the data or the files within a data package, some examples include: fastq, bam, xlsx docx pdf
• Data Type: File format of the data or the files within a data package, some examples include: fastq, bam, xlsx docx pdf
• Data Type: a subset of the Data Categories: Biomarker Data, Clinical Study Data, Epigenetics, Imaging, Metabolomics, Pathology Study Data, Proteomics, Transcriptomics
• *DOIs: Specific sets of data found in our DOI Collection.
• Experimental Strategy: available technologies or analysis from KPMP data generators such as Single-cell RNA-Seq, Pathology Descriptor Scoring, Spatial Transcriptomics.
• *Platform: platform a given technology was run on
• Protocol: protocols participants were enrolled under to be part of the KPMP Atlas
• Workflow: more granular details or specific sets of data or analysis for each technology.
• *Size: the actual size of the data file. 

*Column headers that are the default in the Atlas

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DOWNLOAD CSV

Once a discrete list of files has been created based on a user’s specific filtering criteria, a csv format list can be downloaded and used for informing data requests, internal tracking, etc.

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The Atlas Spatial Viewer

The following data types have been incorporated into the Atlas Spatial Viewer:

• Light Microscopic Whole Slide Images
• 3D Tissue Imaging and Cytometry
• Spatial Transcriptomics
• CODEX
• Spatial Metabolomics

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For more details on these spatial technologies, refer to the Technologies help documentation under Imaging and Metabolomics.

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The data available in the Spatial Viewer are routinely added as they are generated and quality checked. A summary of the data available in the Spatial Viewer can be found on the Kidney Tissue Atlas homepage.

The spatial images presented in the application have been pre-processed in order to convert them to OME (Open Microscopy Environment) TIFF (tagged image file format) using Bio-Formats bftools version 5.8.

Each dataset is identified by a sample ID, which is derived from a segment of a participant's biopsy tissue. Every sample ID may be traced back to a single participant ID.

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NAVIGATION

The Atlas Spatial Viewer allows you to search the available KPMP spatial datasets by data-level and participant-level attributes and visualize the associated datasets.

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DATASET LIST

Filter panel

Narrowing your search to a focused selection of datasets is accomplished using the filter panel on the left-hand side of the screen. The filter panel is divided in two tabs, DATASET and PARTICIPANT, with each tab containing  attributes by which to filter the dataset list to the right of the filter panel.

Participant-level filters allow searching for datasets that contain particular participant-level attributes such as age range, tissue type, etc. Dataset-level filters allow a user to search for different types of datasets (Light Microscopy vs 3D Cytometry).

To open a dataset in the viewer, click on the link in the SAMPLE ID column.

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Sorting and resizing columns

Click on a column heading to sort the data in the column ascending order. Click on the column header a second time to sort in descending order.

When hovering over the column heading you will see a blue line that appears at the right hand side of the column. Click and drag the blue line to increase or decrease the column width.

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Showing/hiding columns

By default the dataset list displays the SAMPLE ID, DATA TYPE, and IMAGE TYPE columns. Click the left button at the top of the dataset list and a field chooser will appear which allows you show additional columns or hide the active columns. NOTE:e SAMPLE ID column cannot be hidden.

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Participant information panel

Click on the Participant ID in the dataset list or when viewing an image to view the Participant Information panel. This panel contains clinical information (e.g. disease, age, eGFR) and data available within the Atlas for the selected participant.

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VISUALIZATIONS

The Spatial Viewer uses the Vitessce visualization platform as its visualization engine. The layout and features/functionality of the visualization page will be specific to the data type selected.

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Light Microscopic Whole Slide Images

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‍Data Set panel

The Data Set panel on the left displays information on the selected image, including a reiteration of the type of the selected dataset (e.g. “RGB max projection of 8-channel immunofluorescence image volume.”) The Data Set panel also contains additional image information such as X and Y dimension, pixel size, number of channels, etc.

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Spatial panel

In the Spatial panel, you can zoom in and out of the image by using the scroll wheel on a mouse or with a trackpad. To download the current image, click on the download icon in the upper-right corner of the Spatial panel.

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3D Tissue Imaging and Cytometry

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‍Spatial Layers

For images with multiple channels, a Spatial Layers panel will appear under the Data Set panel. This panel allows you to control which channels appear, designate channel colors, adjust the z axis, and set the opacity of the image.

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Spatial Transcriptomics

‍Expression Levels / Espression Histogram

Search for a gene of interest by typing the gene symbol of interest, select it, and the normalized expression level and corresponding number of cells will be graphed below in the Expression Histogram panel. Additionally, the Spatial and Scatterplot components will be updated to show the relative expression levels at different locations on the tissue.

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Lassoing/Selecting data

In both the Spatial view and the Scatterplot view, there are a few tools that allow you to select certain points and have them highlight on the other view. This can be especially helpful when looking at the expression levels on the scatterplot. If you see a grouping of spots you can see where they live on the tissue itself by using the lasso or box tool to select the points of interest.

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In order to clear your selection, simply reselect the gene of interest from the Expression Levels component on the left.

Search for a gene of interest by typing the gene symbol of interest, select it, and the normalized expression level and corresponding number of cells will be graphed below in the Expression Histogram panel. Additionally, the Spatial and Scatterplot components will be updated to show the relative expression levels at different locations on the tissue.

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Spatial panel

The Spatial panel produces a heatmap showing the expression level for the selected gene on the various points on the tissue sample.

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Scatterplot (UMAP) panel

Displays a scatterplot showing gene expression clusters and expression level for the selected gene as a heatmap.  

In the Scatterplot (UMAP) you can click the gear icon at the top in order to control a number of attributes on the scatterplot itself. The most useful control we have found is the ability to adjust the radius of the points in the scatterplot. In order to do this, you first change the Cell Radius Mode to Manual, and then you can adjust the slider to adjust the size of the points.

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CODEX (CO-DETECTION BY INDEXING)

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Image metadata

The image metadata on the left conveys the following information specific to the image:

• experimental strategy
• tissue type
• sample ID
• participant ID

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‍Data Set panel

The Data Set panel displays the image information for the image shown in the Spatial panel:

• Image description/type (type)
• file name/type of the downloadable image

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Spatial Layers panel

For images with multiple channels, a Spatial Layers panel appears under the Data Set panel. It allows you to add or remove channels, allowing a maximum of six total channels at one time.

Click on the arrow next to the channel / marker name to choose from over 50 markers for the channels. You may also choose from eight different colors for your channels.

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Spatial panel

Zoom in and out of the image by using the scroll wheel on a mouse or with a trackpad.

To download the current image, click on the download icon in the upper-right corner of the Spatial panel. 

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SPATIAL METABOLOMICS, SPATIAL LIPIDOMICS, AND SPATIAL N-GLYCOMICS

METASPACE

Spatial metabolomics, spatial lipidomics, and spatial N-glycomics data visualizations are available via hyperlinks within the Spatial Viewer to metaspace2020.eu.

Users may select data to view as normal and then follow the active hyperlinks for the appropriate visualizations.

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Atlas Ecosystem Releases

Q4 2024 (v16) RELEASE HIGHLIGHTS

Software updates:

Experience the improved filtering features in Repository and Spatial Viewer!‍
The filters panel layout was redesigned and the filter options were expanded, empowering you to effortlessly select data based on attributes from the KPMP publicly available clinical data file.

Now you can easily select data tailored to your specific interests like Primary Adjudicated Category, Baseline eGFR, Diabetes Duration, A1c, and more! Dive in and experience the power of this enhanced functionality:

Video Demo of Updates

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Data released to the Atlas Repository (874):

• 10X Multiome (75)
  • ATAQ-seq (42)
  • Single-nucleus RNAseq (47)
• Clinical Data (1)
• CODEX (136)
• CUT&RUN (207)
• Imaging Mass Cytometry (78)
• Light Microscopy Whole Slide Images (252)
• Multimodal Molecular Imaging (40)
• Single-cell RNAseq (25)
• Spatial Lipidomics (6)
• Spatial Metabolomics (40)

Data released to the Atlas Spatial Viewer (446):

• CODEX (34)
• Imaging Mass Cytometry (124)
• Light Microscopy Whole Slide Images (185)
• Spatial Lipidomics (23)
• Spatial Metabolomics (80)

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Q3 2024 (v15) RELEASE HIGHLIGHTS

Data released to the Atlas Repository (1,008):

• 10X Multiome (203)
  • ATAQ-seq (126)
  • Single-nucleus RNAseq (103)
• Clinical Data (1)
• CODEX (24)
• Pathology Descriptor Scoring (1)
• Light Microscopy Whole Slide Images (307)
• Segmentation Masks & Pathomics Vectors (updated) (222)
• Single-cell RNAseq (224)

Data released to the Atlas Spatial Viewer (455):

• CODEX (6)
• Light Microscopy Whole Slide Images (227)
• Segmentation Masks & Pathomics Vectors (222)

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Q2 2024 (v14) RELEASE HIGHLIGHTS

Data released to the Atlas Repository (1,277):

• 10X Multiome (17)
• ATAQ-seq (193)
• Single-nucleus RNAseq (137)
• Clinical Data (1)
• CODEX (44)
• CUT & RUN (99)
• Spatial Lipidomics (38)
• Spatial Metabolomics (42)
• Light Microscopy Whole Slide Images (706)

Data released to the Atlas Spatial Viewer (790):

• CODEX (11)
• Spatial Lipidomics (151)
• Spatial Metabolomics (84)
• Light Microscopy Whole Slide Images (544)

Review the Data Change Log for details of specific data changes to any of the Atlas applications.

Software Updates:

• The available data tables on the Atlas home page and the Atlas Explorer home page now include a ALL count of available samples/files.
• The single-cell and single-nucleus RNAseq data now link out to both v1.0 and v1.5 in CELLXGENE.
• Review the Known Issues Tracker for details of specific functionality issues, fixes, and workarounds related to functionality in the Atlas.
• We continue to make minor fixes to our applications that will improve our users’ experience and the security of our data and applications.

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‍Q1 2024 (v13.0)

Data released to the Atlas Explorer (2):

• Single-cell RNA-seq v1.5 (79 samples from 77 participants)
• Single-nucleus RNA-seq v1.5 (80 participants)

Note: these datasets will also be available in CELLxGENE in early April 2024

Data released to the Atlas Repository (388):

• 3D Tissue Imaging and Cytometry (63)
• Clinical Data (1)
• CODEX (104)
• Imaging Mass Cytometry (60)
• Single-cell RNA-seq v1.5 (1)
• Single-nucleus RNA-seq v1.5 (1)
• Spatial Lipidomics (2)
• Spatial Metabolomics (48)
• Spatial N-glycomics (16)
• Whole Slide Images (91)

Data released to the Atlas Spatial Viewer (413):

• 3D Tissue Imaging and Cytometry (115)
• CODEX (26)
• Imaging Mass Cytometry (77)
• Spatial Lipidomics (10)
• Spatial Metabolomics (96)
• Spatial N-glycomics (17)
• Light Microscopy Whole Slide Images (72)

Software Updates:

• Overall
  • Minor cosmetic changes have been incorporated across the Atlas.
  • “Enrollment Category” has replaced the term “Tissue Type” when referring to enrollment disease cohorts  AKI, CKD, DM-R, and Healthy Reference. This change is intended to more easily differentiate how participants are categorized at enrollment in the KPMP study and categorized after the KPMP adjudication process.
  • Review the Known Issues Tracker for details of specific functionality issues, fixes, and workarounds.
  • Review the Data Change Log for details of specific data changes to any of the Atlas applications.
• Explorer
  • Links to CELLxGENE for v1.0 and v1.5 of both Single-cell and Single-nucleus RNA-seq data
  • Link to GitHub for Single-nucleus RNA-seq pipelines
  • Adjusted p-value has been corrected in the Differential Expression tables for Regional Transcriptomics
  • Minor fixes for clarity of content
• Atlas Repository
  • Minor display enhancements

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February 2024

Data released to the Atlas Repository (3):

• Primary Adjudicated Category
• SomaScan Plasma Proteomics
• SomaScan Urine Proteomics

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December 2023 (v12.0)

‍Data released to the Atlas Repository (972):

• Whole Slide Images (382)
• 3D Tissue Imaging and Cytometry (297)
• 10X Multiome (197) (note that there is some overlap among these files)

• ATAC-Seq (132)
• Single-nucleus RNA-Seq (107)

• Spatial Transcriptomics (39)
• Spatial Lipidomics (11)
• Spatial N-glycomics (2)
• Regional Proteomics aggregated analysis package (1)
• Clinical Data (1)

Data released to the Atlas Spatial Viewer (642):

• Light Microscopy Whole Slide Images (430)
• 3D Tissue Imaging and Cytometry (165)
• Spatial Lipidomics (44)
• Spatial N-glycomics (3)

Software Updates:

• Explorer Regional Proteomics - The Beta visualization of the Regional Proteomics data is now available in the Atlas Explorer. More features will be available for this data type in Q1 2024. 
• Help menu - We have updated our Help menu in the upper right of the Atlas to show more detail of what resources are available to users.
• Spatial Viewer - We have updated the Spatial Viewer to the most current version of Vitessce.

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October 2023 (v11.0)

Data released to the Atlas Repository (1,721):

• 10X Multiome (193) (note that there is some overlap among these files)

• ATAC-Seq (132)
• Single-nucleus RNA-Seq (99)

• CUT & RUN (143)
• Descriptor Scoring (1)
• DNA Methyl-seq (120)
• Single-cell RNA-Seq (50)
• Biomarker Data: Stool Microbiome Metagenomics (2)
• Regional Proteomics aggregated data package (1)
• Whole Slide Images (579)
• Segmentation Data (222)
• Spatial Lipidomics (34)
• Spatial N-glycomics (18)
• Spatial Transcriptomics (319)
• Clinical Data (1)

Data released to the Atlas Spatial Viewer (615):

• Light Microscopy Whole Slide Images (422)
• Spatial Lipidomics (129)
• Spatial N-glycomics (24)
• Spatial Transcriptomics (40)

Software Updates:

• Repository Participant Information page - This panel, originally featured in the Spatial Viewer and containing participant-specific information (e.g. disease, age, eGFR), is now available in the Atlas Repository with even more information.
• Spatial Viewer Recently Released - In the Spatial Viewer users may now click on the “Recently Released” check box on the File tab to select only those files that are new or updated in the current release.
• Explorer formatting updates - 

• Explorer now has a more clearly defined access to CellXGene for users looking for disease-specific differential expression analysis of the KPMP data.
• The format of the gene expression tables has been updated for easier reading

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June 2023 (v10.0)

‍New publications and their associated DOIs:

• KPMP datasets for “Role of endogenous adenine in kidney failure and mortality with diabetes" (Kumar Sharma)
  https://doi.org/10.48698/b2xn-d827
• KPMP datasets for "The chromatin landscape of healthy and injured cell types in the human kidney". (Debora L. Gisch, Michael Eadon)
  https://doi.org/10.48698/HHE6-YV15

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Data released to the Atlas Repository:

• Single-cell RNA-Seq (50)
• Regional Proteomics (118)
• 10X Multiome (188) (note that there is some overlap among these files)

• ATAC-Seq (123)
• Single-nucleus RNA-Seq (99)

• Whole Slide Images (80)
• Opportunity Pool Biomarker Data:

• Plasma Biomarker Data-BC AU5812-2022 (1)
• Urine Biomarker Data-BC AU5812-2022 (includes timed urine information) (1)
• Urine Biomarker Data-UHPLC MS_MS-2022 (includes timed urine information) (1)
• Plasma Biomarker Data-UHPLC MS_MS-2022 ) (1)
• Urine Biomarker Data-BC AU680-2022 (includes timed urine information) (1)

• Spatial Lipidomics (corrected metadata spreadsheet) (1)
• Updated open access clinical data file (includes DM-R) (1)

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Data released to the Atlas Spatial Viewer:

• Light Microscopy Whole Slide Images (80)
• Spatial Lipidomics (corrected link) (1)

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Software Updates:

• Atlas Repository UI - The Atlas Repository user interface has been updated for consistency across Atlas applications and to allow for future enhancements.
• CSV download - Filter the files you want and create a complete list of the files in a CSV. This will be helpful when making data requests or requesting DOIs be minted and associated with publications. The current CSV file is limited to 1000 rows due to technical issues we will resolve in Q3.
• Diabetes Mellitus - Resilient (DM-R) - The tissue type of “Diabetic Nephropathy Resistor”, which was introduced in Q1 2023 has been relabeled to “Diabetes Mellitus - Resilient” (DM-R) to better reflect this participant group. As you may recall, these participants were originally under the CKD umbrella. You will now see this group addressed in all our filters along with CKD, AKI, and Healthy Reference tissue types.
• File name identifier - The long identifier prefix on file names has been removed for better readability. It is still viewable if you select File UUID from the table column chooser.
• Improved scrolling - Table and filter panel scrolling behavior has been improved for both Spatial Viewer and Repository
• Recently Released - In the Repository you can now click on the “Recently Released” check box on the File tab to select only those files that are new or updated in the current release.
• ‍Participant Portal - Spanish language translation available

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MARCH 2023 (v9.0)

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ATLAS REPOSITORY

New data available

See: Atlas Data Release Notes

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ATLAS SPATIAL VIEWER

New spatial data available:

• Light Microscopy Whole Slide Images (196)
• Spatial Lipidomics (86)
• Spatial Metabolomics (25)
• CODEX (6)

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New feature - Participant Information:

By clicking on the Participant ID, in either the file list or when viewing an image, users will be able to view the Participant Information panel. This panel contains participant-specific information (e.g. disease, age, eGFR) and data available within the Atlas for that specific participant.

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Spatial Metabolomics links updated

The links taking users out to METASPACE have been updated to direct users to a summary landing page for the sample selected. From there, users can navigate to the spatial views with detailed annotations of the data by selecting “Browse annotations”.

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NOVEMBER, 2022 (v7.0)

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ATLAS REPOSITORY

New data available

See: Atlas Data Release Notes

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SEPTEMBER, 2022 (v6.0)

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ATLAS SPATIAL VIEWER

New image types available

• Spatial Metabolomics 
• Spatial N-glycomics 
• Spatial Lipidomics

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ATLAS REPOSITORY

Changes to Participant ID display

• When a file contains information for more than one participant, “Multiple participants” will appear in the participant column instead of the list of participants

New data available

See: Atlas Data Release Notes

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JULY, 2022

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Atlas Spatial Viewer

New image types available:

• CODEX images for 11 participants

New data available:

• Level added as a data type to be made viewable in the table 
• 259 additional Whole Slide Images 

Software Applications Help documentation

• Updated to include documentation on the CODEX images.

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Atlas Explorer

Improved gene search

• Allows two-letter gene searches.
  Please note that some two-letter genes may not show up in the search as there is a cutoff.
  Users can also search by known aliases that have more than two letters.

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Atlas Data Releases

At KPMP we endeavor to maintain that high quality data be made available to our users. In this effort we will occasionally come across data that we have found requires it to be pulled back from the repository or replaced with corrections. We work closely with those that originally supplied the data to ensure not only that the data is replaced but that we also supply information as to why the data was pulled back or replaced.

View Atlas Data Change Log

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Have you run into an issue with KPMP data not reported here? Please report issues through our Give us your feedback link (above).

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Atlas Known Issues

The KPMP Atlas software team acknowledges that the tools may not always work ideally or the same from browser to browser. We want to acknowledge these issues for users and, if possible, provide potential workarounds until these issues can be resolved.

Have you run into an issue not reported here? Please report issues through our Give us your feedback link (above).

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Open the Known Issues Tracker

The KPMP Data Visualization Center (DVC) has developed a variety of internal and external applications to support the gathering, integration, and display of the data generated through this project. All software is freely accessible from our KPMP GitHub page.