Evidence map›Paper›PMID 33481068›Full record

ArticleApplied microbiology and biotechnology2021

High density fermentation of probiotic E. coli Nissle 1917 towards heparosan production, characterization, and modification.

Payel Datta, Li Fu, Paul Brodfuerer, Jonathan S Dordick, Robert J Linhardt

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 34 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Payel DattaCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Li FuCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Paul BrodfuererCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Jonathan S DordickCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA. dordick@rpi.edu.
Robert J LinhardtCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA. linhar@rpi.edu.ORCID http://orcid.org/0000-0003-2219-5833
Rensselaer Polytechnic Institute · US

Funding

NIH HHS CA231074
6 · The paper itself

Abstract

Heparosan is a naturally occurring non-sulfated glycosaminoglycan. Heparosan serves as the substrate for chemoenzymatic synthesis of biopharmaceutically important heparan sulfate and heparin. Heparosan is biologically inert molecule, non-toxic, and non-immunogenic and these qualities of heparosan make it an ideal drug delivery vehicle. The critical-to-quality (CTQ) attributes for heparosan applications include composition of heparosan, absence of any unnatural moieties, and heparosan molecular weight size and unimodal distribution. Probiotic bacteria E. coli Nissle 1917 (EcN) is a natural producer of heparosan. The current work explores production of EcN heparosan and process parameters that may impact the heparosan CTQ attributes. Results show that EcN could be grown to high cell densities (OD

Indexed as

Escherichia coliProbioticsDisaccharidesFermentationDisaccharidesheparosanChemoenzymatic modificationsEcNE. coli K5E. coli Nissle 1917Fed-batch fermentationHeparan sulfateHeparinHeparin lyaseHeparosanHigh cell density fed-batch fermentationN-sulfo heparosanProbiotic Nissle 1917

Identifiers

PMID33481068
OpenAlexW3123118672

What OpenQuestion holds

Textmetadata
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.