Lung Adenocarcinoma Organoid Secretome Profiles via Nanomagnetic Enrichment

Proteomic data from a workflow for deep secretome profiling of patient-derived lung adenocarcinoma organoids. The dataset was created by Wenhui Wu and published on figshare in March 2026. It includes results from a method that identified 1376 proteins in a single sample, a 4.9-fold increase over conventional analysis.

Use Cases

• Identify novel protein biomarkers for lung adenocarcinoma based on the 1095 proteins undetectable by conventional methods.
• Study intercellular communication in the tumor microenvironment using the detected secreted proteins.
• Validate the performance of the PPSP workflow for secretome profiling against other proteomic methods.
• Correlate secreted protein expression with patient survival data as suggested by the description.

Strengths

• Demonstrated a 4.9-fold increase in protein detection depth over direct analysis.
• Identified 1095 proteins that were undetectable by conventional secretome profiling methods.
• Includes detection of both known biomarkers and previously uncharacterized secreted proteins.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect methodological bias inherent to the specific enrichment and mass spectrometry workflow.

Provenance

Source

figshare, author Wenhui Wu.

Collection Method

Generated using a Protein corona nanomagnetic bead-based PDO Secretome Profiling workflow (PPSP) with high-resolution mass spectrometry data-independent acquisition (HRMS–DIA).

Freshness

Last updated 2026-03-18 18:04:27; freshness should be verified.