Evidence map›Paper›PMID 30459825›Full record

ArticleSource code for biology and medicine2018

ProSave: an application for restoring quantitative data to manipulated subsets of protein lists.

Daniel A Machlab, Gabriel Velez, Alexander G Bassuk, Vinit B Mahajan

Abstract read
In one paragraph

Article in Source code for biology and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Daniel A Machlab *1Omics Laboratory, Stanford University, Palo Alto, CA USA.
Gabriel Velez *1Omics Laboratory, Stanford University, Palo Alto, CA USA.
Alexander G Bassuk4Department of Pediatrics, University of Iowa, Iowa City, IA USA.
Vinit B Mahajan1Omics Laboratory, Stanford University, Palo Alto, CA USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Gene Silencing and Gene Editing in PhototransductionR01EY024698 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Stephen H Tsang · 2015 to 2026
$4.7M
Structure and Function of Calpain-5R01EY024665 · NEI · UNIVERSITY OF IOWA · PI MAHAJAN, VINIT B · 2015 to 2019
$1.9M
Mechanistic Studies on Regenerative Medicine Approaches to Childhood BlindnessR01EY026682 · NEI · UNIVERSITY OF IOWA · PI BASSUK, ALEXANDER G, MAHAJAN, VINIT B · 2016 to 2019
$1.6M
Mechanism-based therapies for photoreceptor degenerationR01EY025225 · NEI · UNIVERSITY OF IOWA · PI MAHAJAN, VINIT B · 2015 to 2018
$1.3M
Evaluating GWAS AMD Candidate Loci by Gene Editing in Human iPS CellsR21AG050437 · NIA · UNIVERSITY OF IOWA · PI BASSUK, ALEXANDER G, MAHAJAN, VINIT B · 2015 to 2016
$431k
NEI NIH HHS P30 EY026877NEI NIH HHS R01 EY024665NEI NIH HHS R01 EY024698NEI NIH HHS R01 EY025225NEI NIH HHS R01 EY026682NIA NIH HHS R21 AG050437NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

backgroundIn proteomics studies, liquid chromatography tandem mass spectrometry data (LC-MS/MS) is quantified by spectral counts or by some measure of ion abundance. Downstream comparative analysis of protein content (e.g. Venn diagrams and network analysis) typically does not include this quantitative data and critical information is often lost. To avoid loss of spectral count data in comparative proteomic analyses, it is critical to implement a tool that can rapidly retrieve this information.

resultsWe developed ProSave, a free and user-friendly Java-based program that retrieves spectral count data from a curated list of proteins in a large proteomics dataset. ProSave allows for the management of LC-MS/MS datasets and rapidly retrieves spectral count information for a desired list of proteins.

conclusionsProSave is open source and freely available at https://github.com/MahajanLab/ProSave. The user manual, implementation notes, and description of methodology and examples are available on the site.

Indexed as

JavaPrecision medicineProSaveProteomics

Identifiers

PMID30459825
PMCPMC6233572

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LicenceCC BY
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Registered trials

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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.