Evidence map›Paper›PMID 41028467›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Cloning of MFα Secretion Signal Variants for Protein Secretion by Pichia pastoris.

Magdalena Merkaš, Odyssefs-Ioannis Pantelakis, Anita Emmerstorfer-Augustin

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Engineering small peptide secretion inFrontiers in bioengineering and biotechnology · 2026
    Article
  3. Review
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

3 authors.

Magdalena MerkašInstitute of Molecular Biotechnology, Graz University of Technology, NAWI Graz, Graz, Austria.
Odyssefs-Ioannis PantelakisInstitute of Molecular Biotechnology, Graz University of Technology, NAWI Graz, Graz, Austria.
Anita Emmerstorfer-AugustinInstitute of Molecular Biotechnology, Graz University of Technology, NAWI Graz, Graz, Austria. emmerstorfer-augustin@tugraz.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein secretion is a complex, multistep process that relies on signal sequences to guide recombinant proteins through various stages of the secretion pathway, ultimately targeting these proteins to the extracellular matrix. The mating factor alpha (MFα) signal peptide, initially identified for its role in the mating factor protein export in Saccharomyces cerevisiae, has emerged as the most effective tool for the secretory production of recombinant proteins in yeast expression systems, including Komagataella phaffii (reclassified from Pichia pastoris). Over the years, numerous studies have aimed at enhancing the efficiency and processability of the MFα signal sequence, resulting in several optimized variants. In this chapter, we highlight the most frequently used and highly effective MFα signal leader variants. We present a streamlined and universal cloning strategy using pPpT4_MFα as a vector backbone and the gene encoding eGFP as the gene of interest to facilitate the use of these variants for recombinant protein secretion. This step-by-step approach also provides the precise (codon optimized) nucleotide and amino acid sequences of these MFα signal leader variants.

Indexed as

Cloning, MolecularFungal ProteinsMating FactorPichiaProtein Sorting SignalsSaccharomycetalesGenetic VectorsGreen Fluorescent ProteinsProtein TransportRecombinant ProteinsFungal ProteinsGreen Fluorescent ProteinsMating FactorProtein Sorting SignalsRecombinant ProteinsKomagataella phaffiiMFαMutational analysisPichia pastorisProtein secretion

Identifiers

What OpenQuestion holds

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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.