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Record W2988142154 · doi:10.1101/830851

High-yield Production of Recombinant Platelet Factor 4 Protein by Harnessing and Honing the Gram-negative Bacterial Secretory Apparatus

2019· preprint· en· W2988142154 on OpenAlexaff
Saeed Ataei, Mohammad Naser Taheri, Fatemeh Taheri, Farahnaz Zare, Niloofar Amirian, Abbas Behzad‐Behbahani, Amir Rahimi, Gholamhossein Tamaddon

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsMcGill University
FundersShiraz UniversityShiraz University of Medical Sciences
KeywordsSecretionRecombinant DNABiochemistrySecretory proteinChemistryPeriplasmic spacelac operonSecretory pathwayEscherichia coliGeneCell

Abstract

fetched live from OpenAlex

Abstract Background Platelet factor 4 is a cytokine released into the bloodstream by activated platelets and plays a pivotal role in heparin-induced thrombocytopenia etiology and diagnosis. Therefore, a sustainable source of recombinant PF4 with structural and functional similarity to its native form is urgently needed to be used in diagnostic procedures. To this end, a three-in-one primary construct was designed and custom synthesized based on the pET26b backbone from which three secondary constructs could be derived each capable of employing either type I, type II secretory or cytoplasmic pathways. Protein expression and secretion were performed in Escherichia coli BL-21 (DE3) and were confirmed by SDS-PAGE and Western blotting. To further enhance protein secretion, the effect of several controllable factors including IPTG, Triton X-100, Sucrose, and Glycine were individually investigated at first. In the next step, according to fractional factorial approach, the synergistic effect of IPTG, Triton X-100, and Glycine on secretion was further investigated. To ascertain the structure and function of the secreted recombinant proteins, Dynamic light scattering was utilized and confirmed rPF4 tetramerization and heparin-mediated ultra-large complex formation. Moreover, Raman spectroscopy was exploited to determine the rPF4 secondary structure. Results Type II secretory pathway was proven to be superior over type I in case of rPF4 secretion into the extracellular milieu. Protein secretion mediated by Type II was enhanced to approximately more than 700 μg/ml. Large quantities of native rPF4 up to 20 mg was purified upon a minor scale up to 40 ml of culture medium. Dynamic light scattering unveiled native rPF4 quaternary structure revealing the formation of tetramers having an average size of 10 nm and formation of larger complexes of approximately 100-1200 nm in size following heparin supplementation, implying proper protein folding, tetramerization, and antigenicity. Analysis of the Zeta potential on approximately 600 μg/ml of rPF4 revealed a 98 mV positive charge which further confirms protein folding. Moreover, rPF4 secondary structure was determined to be 43.5% Random coil, 32.5% β-sheet, 18.6 % α-helix and 4.9 % Turn, which is in perfect agreement with the native structure. Conclusion our results indicate that the gram-negative type II bacterial secretory system holds a great promise to be employed as a reliable protein production strategy with favorable industrial application. However, further efforts are required to realize the full potential of secretory pathways regarding their application to proteins with distinct characteristics. Abstract Figure Graphical Abstract. rPF4 secretion mediated by type 2 secretory system. The pelB signal sequence directs protein export into the extracellular milieu through the SecYEG translocon complex in a process assisted by SecB chaperone. A) Indicates protein secretion before supplementation with additives and B) indicates secretion in the presence of additives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.233
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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