<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ca3b199628a9446f8175bfc1073cbf0b&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ca3b199628a9446f8175bfc1073cbf0b-9b840de7bee3c96d.gif</thumbnail_url><duration>250.773</duration><title>Validating DIA single-cell proteomics identifications</title><description>This Loom discusses how to use Diane for single-cell proteomics identifications with appropriate caution. The speaker evaluates the ReFentyl (turn-down) procedure on a single HeLa cell and finds it identifies more precursors but fewer proteins; ReFentyl-specific precursors have fewer spectrum ion matches on average (about 7 versus about 10 for common precursors), so confident peptide identification may require turning it off. For mouse liver single-cell data searched against a human plus mouse database, human-exclusive precursors exceed 6% across 14 cells, implying an actual “intrepid FDR” up to about 10% due to database size and likely software bias. The Loom also examines match-between-runs and notes low precursor overlap across single HeLa cells (28% appear in only one cell), with increased overlap from 0.54 to 0.74 and extra second-pass findings generally showing lower spectrum and ion support; users should report both first-pass and second-pass results.</description></oembed>