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claude-scientific-skills/scientific-skills/ginkgo-cloud-lab/references/cell-free-protein-expression-validation.md
2026-03-02 09:53:41 -08:00

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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