Evidence map›Paper›PMID 26051157›Full record

ArticleBMC bioinformatics2015

WormGUIDES: an interactive single cell developmental atlas and tool for collaborative multidimensional data exploration.

Anthony Santella, Raúl Catena, Ismar Kovacevic, Pavak Shah, Zidong Yu, Javier Marquina-Solis, Abhishek Kumar, Yicong Wu, James Schaff, Daniel Colón-Ramos and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

34 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  10. Multiscale fluorescence imaging of living samples.Histochemistry and cell biology · 2022
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  15. Delineating the mechanisms and design principles ofComputational and structural biotechnology journal · 2022
    Review
  16. Article
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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

13 authors at 4 institutions in 1 country.

Anthony SantellaDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA. santella@mskcc.org.
Raúl CatenaDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA. raulcatena@gmail.com.
Ismar KovacevicDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA. ismar.kovacevic@gmail.com.
Pavak ShahDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA. shahp2@mskcc.org.
Zidong YuDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA. yuzidong@just.edu.cn.
Javier Marquina-SolisProgram in Cellular Neuroscience, Neurodegeneration and Repair, Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA. javier.marquina@yale.edu.
Abhishek KumarProgram in Cellular Neuroscience, Neurodegeneration and Repair, Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA. abhishek.kumar@nih.gov.
Yicong WuSection on High Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering NIH, Bethesda, MD, USA. wuy7@mail.nih.gov.
James SchaffCenter for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT, USA. Schaff@uchc.edu.
Daniel Colón-RamosProgram in Cellular Neuroscience, Neurodegeneration and Repair, Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA. daniel.colon-ramos@yale.edu.
Hari ShroffSection on High Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering NIH, Bethesda, MD, USA. hari.shroff@nih.gov.
William A MohlerDept. of Genetics & Dev Biology, University of Connecticut Health Center, Farmington, CT, USA. mohler.william@gmail.com.
Zhirong BaoDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY, USA. baoz@mskcc.org.
Kettering University · USYale University · USNational Institute of Biomedical Imaging and Bioengineering · USUConn Health · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Section on High Resolution Optical ImagingZIAEB000074 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI SHROFF, HARI · 2010 to 2022
$15.2M
WormGUIDES: A Resource for Global Understanding in Dynamic Embryonic SystemsR24OD016474 · OD · YALE UNIVERSITY · PI BAO, ZHIRONG, COLON-RAMOS, DANIEL A · 2013 to 2020
$6.5M
Cellular and molecular mechanisms that temporally and spatially restrict synapticR01NS076558 · NINDS · YALE UNIVERSITY · PI COLON-RAMOS, DANIEL A · 2012 to 2022
$4.1M
An integrated system to monitor complex tissues at single-cell resolutionU01HD075602 · NICHD · SLOAN-KETTERING INST CAN RESEARCH · PI BAO, ZHIRONG · 2012 to 2016
$3.1M
Intramural NIH HHSNCI NIH HHS P30 CA008748NICHD NIH HHS U01 HD075602NIH HHS R24 OD016474NIH HHS R24OD016474NINDS NIH HHS R01 NS076558
6 · The paper itself

Abstract

backgroundImaging and image analysis advances are yielding increasingly complete and complicated records of cellular events in tissues and whole embryos. The ability to follow hundreds to thousands of cells at the individual level demands a spatio-temporal data infrastructure: tools to assemble and collate knowledge about development spatially in a manner analogous to geographic information systems (GIS). Just as GIS indexes items or events based on their spatio-temporal or 4D location on the Earth these tools would organize knowledge based on location within the tissues or embryos. Developmental processes are highly context-specific, but the complexity of the 4D environment in which they unfold is a barrier to assembling an understanding of any particular process from diverse sources of information. In the same way that GIS aids the understanding and use of geo-located large data sets, software can, with a proper frame of reference, allow large biological data sets to be understood spatially. Intuitive tools are needed to navigate the spatial structure of complex tissue, collate large data sets and existing knowledge with this spatial structure and help users derive hypotheses about developmental mechanisms.

resultsToward this goal we have developed WormGUIDES, a mobile application that presents a 4D developmental atlas for Caenorhabditis elegans. The WormGUIDES mobile app enables users to navigate a 3D model depicting the nuclear positions of all cells in the developing embryo. The identity of each cell can be queried with a tap, and community databases searched for available information about that cell. Information about ancestry, fate and gene expression can be used to label cells and craft customized visualizations that highlight cells as potential players in an event of interest. Scenes are easily saved, shared and published to other WormGUIDES users. The mobile app is available for Android and iOS platforms.

conclusionWormGUIDES provides an important tool for examining developmental processes and developing mechanistic hypotheses about their control. Critically, it provides the typical end user with an intuitive interface for developing and sharing custom visualizations of developmental processes. Equally important, because users can select cells based on their position and search for information about them, the app also serves as a spatially organized index into the large body of knowledge available to the C. elegans community online. Moreover, the app can be used to create and publish the result of exploration: interactive content that brings other researchers and students directly to the spatio-temporal point of insight. Ultimately the app will incorporate a detailed time lapse record of cell shape, beginning with neurons. This will add the key ability to navigate and understand the developmental events that result in the coordinated and precise emergence of anatomy, particularly the wiring of the nervous system.

Indexed as

SoftwareUser-Computer InterfaceAnimalsCaenorhabditis elegansDatabases, FactualNervous SystemSingle-Cell Analysis

Identifiers

PMID26051157
PMCPMC4459063
OpenAlexW2117697057

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.