Evidence map›Paper›PMID 40672302›Full record

ArticlebioRxiv : the preprint server for biology2025

An Automated End-to-End Workflow for Production of Secreted Proteins in Transfected Mammalian Cells.

Pavee Vasnarungruengkul, Michael A Anaya, Annie W Lam, Elisa Gonzalez, An Zhang, Maxine L Wang, Woj M Wojtowicz, Kai Zinn, Jost Vielmetter

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Pavee VasnarungruengkulDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Michael A AnayaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-6944-3614
Annie W LamDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Elisa GonzalezDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
An ZhangDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Maxine L WangDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-5285-1857
Woj M WojtowiczDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Kai ZinnDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-6706-5605
Jost VielmetterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-4314-7163

Funding

A Global Map of Interactions Among Human Cell Surface Proteins and Secreted LigandsR01GM150125 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GARCIA, KENAN CHRISTOPHER, THOMSON, MATTHEW W. · 2022 to 2025
$11.3M
NIGMS NIH HHS R01 GM150125
6 · The paper itself

Abstract

The advancement of automation technologies has helped to enable a surge in large-scale screening efforts across fields such as molecular biology, protein biochemistry, cell biology, and structural biology. In the context of this "omics"-driven research, there is a need to generate automation platforms that are more flexible and less expensive, so that they can be utilized for basic research conducted by small groups. A key challenge in automation lies in developing methods that can replicate fine motor techniques that are normally performed manually by researchers at the bench. We are engaged in a large-scale project to map interactions among human cell-surface and secreted proteins and assess their effects on cells. This project involves production of a library of more than 2000 recombinant His-tagged fusion proteins secreted from transfected Expi293 cells. To execute such a project with a small group at an academic institution required construction of an affordable automated system that could also be used by other investigators. This led us to develop a high-throughput, 96-well format automation platform for end-to-end protein production. The workflow includes transformation of E. coli, plasmid DNA preparation, transient transfection, protein purification, desalting and buffer exchange, protein quantification, and normalization of protein concentrations, resulting in assay-ready proteins. The system is built around an in-house engineered modular robotic platform that integrates liquid handling with a suite of interchangeable 'plug-and-play' mobile enclosed device modules. Housed within a BSL-2 sterile environment, the platform enables flexible, fully automated workflows and can be readily customized for diverse user-defined protocols.

Identifiers

PMID40672302
PMCPMC12265673

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.