Evidence map›Paper›PMID 32198631›Full record

ReviewBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2020

Cell-Free Protein Synthesis: A Promising Option for Future Drug Development.

Srujan Kumar Dondapati, Marlitt Stech, Anne Zemella, Stefan Kubick

Open access · hybridAbstract readReview
In one paragraph

Review in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 122 citations in OpenAlex.

  1. Review
  2. Journal of pharmaceutical analysis · 2026
    Article
  3. Article
  4. Recombinant Protein Drugs: A 2025 Update.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  5. Article
  6. Synthetic Biology Approaches to Enzymology in Food and Agriculture Systems.Journal of agricultural and food chemistry · 2026
    Review
  7. Review
  8. Rethinking governance of synthetic cells.Frontiers in bioengineering and biotechnology · 2026
    Article
  9. Virosomes: Beyond Vaccines.Life (Basel, Switzerland) · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Developing anACS synthetic biology · 2025
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Srujan Kumar DondapatiFraunhofer Institute for Cell Therapy and Immunology (IZI), Branch Bioanalytics and Bioprocesses (IZI-BB), Am Mühlenberg 13, 14476, Potsdam, Germany.
Marlitt StechFraunhofer Institute for Cell Therapy and Immunology (IZI), Branch Bioanalytics and Bioprocesses (IZI-BB), Am Mühlenberg 13, 14476, Potsdam, Germany.
Anne ZemellaFraunhofer Institute for Cell Therapy and Immunology (IZI), Branch Bioanalytics and Bioprocesses (IZI-BB), Am Mühlenberg 13, 14476, Potsdam, Germany.
Stefan KubickFraunhofer Institute for Cell Therapy and Immunology (IZI), Branch Bioanalytics and Bioprocesses (IZI-BB), Am Mühlenberg 13, 14476, Potsdam, Germany. stefan.kubick@izi-bb.fraunhofer.de.
Fraunhofer Institute for Cell Therapy and Immunology · DEUniversity of Potsdam · DE

Funding

BMBF 031B0078A
6 · The paper itself

Abstract

Proteins are the main source of drug targets and some of them possess therapeutic potential themselves. Among them, membrane proteins constitute approximately 50% of the major drug targets. In the drug discovery pipeline, rapid methods for producing different classes of proteins in a simple manner with high quality are important for structural and functional analysis. Cell-free systems are emerging as an attractive alternative for the production of proteins due to their flexible nature without any cell membrane constraints. In a bioproduction context, open systems based on cell lysates derived from different sources, and with batch-to-batch consistency, have acted as a catalyst for cell-free synthesis of target proteins. Most importantly, proteins can be processed for downstream applications like purification and functional analysis without the necessity of transfection, selection, and expansion of clones. In the last 5 years, there has been an increased availability of new cell-free lysates derived from multiple organisms, and their use for the synthesis of a diverse range of proteins. Despite this progress, major challenges still exist in terms of scalability, cost effectiveness, protein folding, and functionality. In this review, we present an overview of different cell-free systems derived from diverse sources and their application in the production of a wide spectrum of proteins. Further, this article discusses some recent progress in cell-free systems derived from Chinese hamster ovary and Sf21 lysates containing endogenous translocationally active microsomes for the synthesis of membrane proteins. We particularly highlight the usage of internal ribosomal entry site sequences for more efficient protein production, and also the significance of site-specific incorporation of non-canonical amino acids for labeling applications and creation of antibody drug conjugates using cell-free systems. We also discuss strategies to overcome the major challenges involved in commercializing cell-free platforms from a laboratory level for future drug development.

Indexed as

Cell-Free SystemProtein BiosynthesisAnimalsCHO CellsCricetulusDrug DevelopmentMembrane ProteinsMicrosomesProtein FoldingReceptors, G-Protein-CoupledMembrane ProteinsReceptors, G-Protein-Coupled

Identifiers

PMID32198631
PMCPMC7211207
OpenAlexW3012048634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.