Evidence map›Paper›PMID 38979374›Full record

ArticlebioRxiv : the preprint server for biology2025

Comparative Approaches for Quantification of Product Yield in the Production of Recombinant Green Fluorescent Protein (GFPuv) Expressed in

Gabrielle Rusch, Junhyeong Wang, Keith Breau, Katie Kilgour, Gary Gilleskie, Jeff Keele, Kurt Selle, Scott T Magness, Stefano Menegatti, Michael Daniele

Abstract readPreprint
PubMed Full text at PMC Publisher
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

10 authors.

Gabrielle RuschJoint Department of Biomedical Engineering, North Carolina State University and University of North Carolina, Chapel Hill, 911 Oval Dr., Raleigh, NC 27695 (USA).
Junhyeong WangDepartment of Electrical & Computer Engineering, North Carolina State University, 890 Oval Dr., Raleigh NC, 27695 (USA).
Keith BreauDepartment of Cell Biology and Physiology, University of North Carolina, Chapel Hill, 111 Mason Farm Road, Chapel Hill, NC 27599 (USA).
Katie KilgourDepartment of Chemical Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695 (USA).
Gary GilleskieGolden LEAF Biomanufacturing Training and Education Center (BTEC), NC State University, Raleigh, NC 27695 (USA).
Jeff KeeleGolden LEAF Biomanufacturing Training and Education Center (BTEC), NC State University, Raleigh, NC 27695 (USA).
Kurt SelleGolden LEAF Biomanufacturing Training and Education Center (BTEC), NC State University, Raleigh, NC 27695 (USA).
Scott T MagnessJoint Department of Biomedical Engineering, North Carolina State University and University of North Carolina, Chapel Hill, 911 Oval Dr., Raleigh, NC 27695 (USA).
Stefano MenegattiDepartment of Chemical Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695 (USA).ORCID 0000-0001-5633-434X
Michael DanieleJoint Department of Biomedical Engineering, North Carolina State University and University of North Carolina, Chapel Hill, 911 Oval Dr., Raleigh, NC 27695 (USA).

Funding

NC State Chemistry of Life Training Program (CLTP)T32GM141887 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI PIERCE, JOSHUA G. · 2021 to 2025
$1.3M
NIGMS NIH HHS T32 GM141887
6 · The paper itself

Abstract

Process Analytical Technologies (PAT) are critical for efficient and automated bioprocessing; moreover, sensor and assay-driven automation will be necessary for the realization of Industry 4.0. Herein, we demonstrate methods for analyzing product yield from a pilot-scale bioreactor (300L) and conduct cross-method comparisons. We used a system of recombinant green fluorescent protein (GFPuv) expressed in

Indexed as

fluorescence microscopyGFPuvgreen fluorescent proteinimage analysispilot-scale bioreactorprocess analytical technologies

Identifiers

PMID38979374
PMCPMC11230288

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.