Evidence map›Paper›PMID 27186887›Full record

ArticlePloS one2016

PHASTpep: Analysis Software for Discovery of Cell-Selective Peptides via Phage Display and Next-Generation Sequencing.

Lindsey T Brinton, Dustin K Bauknight, Siva Sai Krishna Dasa, Kimberly A Kelly

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. mAbs · 2026
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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

4 authors.

Lindsey T BrintonDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, 22908, United States of America.
Dustin K BauknightDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, 22908, United States of America.
Siva Sai Krishna DasaDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, 22908, United States of America.
Kimberly A KellyDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, 22908, United States of America.

Funding

TRAINING IN CELL AND MOLECULAR BIOLOGYT32GM008136 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI STUKENBERG, P. TODD · 1985 to 2020
$8.5M
Highly Specific and Efficient Vectors for Targeting Pancreatic CancerR01CA168712 · NCI · UNIVERSITY OF VIRGINIA · PI FRENCH, BRENT A, KELLY, KIMBERLY A. · 2014 to 2017
$2.0M
Fluorescence molecular tomography to study T cell infiltration into tumorsR21CA185955 · NCI · UNIVERSITY OF VIRGINIA · PI ENGELHARD, VICTOR H, KELLY, KIMBERLY A. · 2014 to 2015
$372k
NCI NIH HHS R01 CA168712NCI NIH HHS R21 CA185955NIGMS NIH HHS T32 GM008136
6 · The paper itself

Abstract

Next-generation sequencing has enhanced the phage display process, allowing for the quantification of millions of sequences resulting from the biopanning process. In response, many valuable analysis programs focused on specificity and finding targeted motifs or consensus sequences were developed. For targeted drug delivery and molecular imaging, it is also necessary to find peptides that are selective-targeting only the cell type or tissue of interest. We present a new analysis strategy and accompanying software, PHage Analysis for Selective Targeted PEPtides (PHASTpep), which identifies highly specific and selective peptides. Using this process, we discovered and validated, both in vitro and in vivo in mice, two sequences (HTTIPKV and APPIMSV) targeted to pancreatic cancer-associated fibroblasts that escaped identification using previously existing software. Our selectivity analysis makes it possible to discover peptides that target a specific cell type and avoid other cell types, enhancing clinical translatability by circumventing complications with systemic use.

Indexed as

Cell Surface Display TechniquesHigh-Throughput Nucleotide SequencingSoftwareAmino Acid SequenceComputational BiologyPeptide LibraryPeptidesReproducibility of ResultsPeptide LibraryPeptides

Identifiers

PMID27186887
PMCPMC4871350

What OpenQuestion holds

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LicenceCC BY
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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.