Spatial Profiling Reveals Equivalence-Derived Molecular Signatures of Brain Mimicry and Adaptation in Breast Cancer Brain Metastases

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Umeh-Garcia, Maxine

Description

This collection of data accompanies the study: Umeh Garcia et al. Spatial Profiling Reveals Equivalence-Derived Molecular Signatures of Brain Mimicry and Adaptation in Breast Cancer Brain Metastases. (2024). Data collected and processed as a part of this study of breast cancer brain metastases (BCBM) include: Nanostring GeoMx Digitial Spatial Profiling collected from 149 unique patients, across 235 tissue tissue cores, generating 473 Area Of Interest (AOI) transcriptome profiles (reduced to 450 after quality control filtering), including technical replicates.Tissue cores from BCBM (including adjacent normal brain), primary invasive breast cancers, and normal (non-cancer) brainAnalysis of 18,677 RNAs (whole transcriptome atlas probe set) in 450 areas of interest (AOIs)Introduction the “Equivalent Expression Index” a highly specific and accurate algorithm that identifies statistically significant "Equivalently-Expressed Genes" (EEGs)Uploaded data include: DCC count filesLabWorksheet / Annotation file including biospecimen metadata informationProbe Kit Configuration (PKC) fileCount MatricesProcessed raw data frame (AOI x gene matrix)Processed Q3 normalized data frame (AOI x gene matrix)GeoMx DSP Scan Images: high resolution PNGs of DSP slides (w/ AOIs)PNG file names correspond to "scan name" column in Lab Worksheet / Annotation fileEquivalence Expression Index (EEI) Folder containing: LICENSEEEI README.mdEquivalent_Expression_Index.RmdInputs - example files for demoOutputs - example files for demo

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

54%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution Non Commercial No Derivatives 4.0 International

Assigned Domain

Subfield

Neurology

Field

Neuroscience

Domain

Life Sciences

Confidence Score

54%

Source

Scholar Data Model

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00