Evidence map›Paper›PMID 27576355›Full record

ArticleJournal of theoretical biology2016

Skeletal muscle signal peptide optimization for enhancing propeptide or cytokine secretion.

Manoel Figueiredo Neto, Marxa L Figueiredo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of theoretical biology, 2016. 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. 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

2 authors.

Manoel Figueiredo NetoDepartment of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison St, West Lafayette, IN 47904, United States.
Marxa L FigueiredoDepartment of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison St, West Lafayette, IN 47904, United States. Electronic address: mlfiguei@purdue.edu.

Funding

Disrupting tumor/bone malignant interactions with multifunctional cytokine sonodeliveryR01CA196947 · NCI · PURDUE UNIVERSITY · PI FIGUEIREDO, MARXA L · 2016 to 2020
$1.9M
Pro-peptide gene delivery for treating prostate cancer bone metastasesR21CA179699 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI FIGUEIREDO, MARXA L · 2013 to 2014
$359k
NCI NIH HHS R01 CA196947NCI NIH HHS R21 CA179699
6 · The paper itself

Abstract

We have utilized hidden Markov models using HMMER software to predict and generate putative strong secretory signal peptide sequences for directing efficient secretion of cytokines from skeletal muscle for therapeutic applications. The results show that this approach can analyze signal sequences of a skeletal muscle secretome dataset and classify them, emitting new sequences that are strong candidate skeletal muscle-enriched signal peptides. The emitted signal peptides also were analyzed for their hydropathy and secondary structure profiles as compared to native signal peptides. The emitted signal peptides had a higher degree of hydropathy and helical composition relative to native sequences, which may suggest that these new sequences may hold promize for promoting enhanced secretion of proteins including cytokines or propeptides from skeletal muscle.

Indexed as

CytokinesDatabases, ProteinMuscle ProteinsProtein PrecursorsSequence Analysis, ProteinAdultFemaleHumansMaleMuscle, SkeletalProtein Sorting SignalsCytokinesMuscle ProteinsProtein PrecursorsProtein Sorting SignalsCytokine secretionHidden markov modelNeural networksSignal peptide prediction

Identifiers

PMID27576355
PMCPMC5048591

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.