Support for Ginkgo Cloud Lab

scientific-skills/ginkgo-cloud-lab/references/cell-free-protein-expression-validation.md

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+# Cell Free Protein Expression Validation
+
+**URL:** https://cloud.ginkgo.bio/protocols/cell-free-protein-expression-validation
+**Status:** Ginkgo Certified
+**Price:** $39/sample (default: $936 for 8 proteins x 3 replicates = 24 samples)
+**Turnaround:** 5-10 days
+
+## Overview
+
+Fastest path from a protein sequence to a quantitative go/no-go readout on expression. Uses a proprietary reconstituted E. coli transcription-translation (cell-free protein synthesis, CFPS) system. Reactions complete in 4-16 hours. Designed for early-stage screening, novel construct evaluation, and rapid triage of candidate sequences before committing resources to downstream optimization or purification.
+
+## Input
+
+- **DNA sequence** in `.fasta` format
+- Sequences up to 1800 bp supported
+
+## Output
+
+- **Expression Confirmation:** Verification of target protein at expected molecular weight
+- **Baseline Titer:** Initial quantitative yield measurement (mg/L)
+- **Initial Purity:** Percentage of target protein vs. impurities, delivered with virtual gel images
+
+## Automated Workflow
+
+### Phase 1 - CFPS Reaction Setup & Incubation
+
+1. Retrieve plates
+2. Stamp DNA templates
+3. Seal plate
+4. Incubate shaking at 30 deg C
+
+### Phase 2 - Quantification Prep
+
+1. Dispense PBS diluent
+2. Seal plate
+3. Store at 4 deg C
+
+### Phase 3 - LabChip Quantification
+
+1. Unseal plate
+2. LabChip quantification
+3. Seal plate
+4. Store at 4 deg C
+
+## Protocol Parameters
+
+- Payloads & Reagents
+- Bravo Stamp
+- HiG Centrifuge
+- Incubation & Storage
+
+## Ordering
+
+- **Number of Proteins:** configurable
+- **Number of Replicates:** configurable
+- **File Upload:** CSV, Excel, FASTA, TXT, PDF, ZIP
+- **Additional Details:** free-text field for special requirements
+
+## Certification Milestones
+
+- Dry Run Complete
+- Wet Run Complete
+- Biovalidation Complete
+- App Note Complete
+
+## Use Cases
+
+- Screening candidate protein sequences for expressibility
+- Go/no-go decisions before investing in optimization
+- Evaluating novel constructs in a cell-free system
+- Comparing expression levels across sequence variants