SAMD4-VGLL4-TEAD Pathway Data: Molecular Targets in Cancer Progression

Experimental data from a whole-genome siRNA screen investigating the SAMD4A/B RNA-binding proteins and their role in regulating the YAP1/TAZ-TEAD oncogenic transcription program. The dataset, authored by Akira Suzuki and last updated in April 2026, includes findings on VGLL4 mRNA destabilization and its impact on cancer progression in vitro and in transgenic mouse models. The 160.7 MB file is available in XLSX format under a CC-BY-4.0 license.

Use Cases

• Analyze the relationship between SAMD4A/B expression and TEAD transcriptional activity based on the siRNA screen results described.
• Investigate the molecular mechanism of VGLL4 mRNA destabilization and translational repression by SAMD4 proteins.
• Model the impact of SAMD4B overexpression on tumor development using the described transgenic mouse data.
• Identify potential drug targets within the SAMD4-VGLL4-TEAD regulatory axis for cancer therapy.

Strengths

• Data originates from a whole-genome siRNA library screen, a systematic experimental approach.
• Includes in vitro cancer progression data and in vivo validation from transgenic mouse models.
• File size is 160.7 MB, suggesting a medium-scale dataset with substantial content.
• License is CC-BY-4.0, permitting broad reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality and structure require manual inspection.

Provenance

Source

figshare

Collection Method

Whole-genome siRNA screening and subsequent molecular biology validation experiments in human cancer cells and transgenic mice.

Time Range

Experimental timeframe not specified; dataset last updated in 2026.

Freshness

Last updated 2026-04-23 07:04:24; freshness should be verified.

Geography

Geographic origin of the data or samples is not specified.