Mouse Embryo Secretome Proteomics with Over 200 Proteins per Single Embryo

Over 3000 proteins were identified per sample using an automated microvolume workflow requiring less than 20 μL of conditioned medium. The dataset, authored by Jingsheng Xie and last updated in May 2026, enables high-throughput secretome profiling exceeding 96 samples per day. It includes time-resolved data from microscale culture and noninvasive analysis of single mouse embryos.

Use Cases

• Modeling temporal secretome dynamics based on time-resolved profiling mentioned in the description
• Identifying protein biomarkers for embryo development stages based on consistently observed proteins like Sdc4 and Ooep
• Benchmarking low-input proteomics workflows based on the described method using less than 20 μL samples

Strengths

• Deep proteome coverage of over 3000 proteins per sample
• High sample processing throughput exceeding 96 samples per day
• Sensitive profiling from ultralow-input samples of less than 20 μL
• Consistent identification of more than 200 secretome proteins per single mouse embryo

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 temporal or source bias inherent to the specific experimental platform

Provenance

Source

figshare

Collection Method

Automated microvolume secretome profiling workflow integrating optimized sample pretreatment and magnetic bead-based proteome sample preparation, analyzed by LC–MS.

Freshness

Last updated 2026-05-27 16:34:27; freshness should be verified