Evidence map›Paper›PMID 31217565›Full record

ReviewLab animal2019

Digging deeper: methodologies for high-content phenotyping in Caenorhabditis elegans.

Dhaval S Patel, Nan Xu, Hang Lu

Abstract readReview
In one paragraph

Review in Lab animal, 2019. 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. 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.

Dhaval S PatelSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Nan XuSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Hang LuSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA. hang.lu@gatech.edu.

Funding

Systems variation underlying the genetics of agingR01AG056436 · NIA · UNIVERSITY OF OREGON · PI LU, HANG, PHILLIPS, PATRICK C. · 2017 to 2021
$2.7M
Quantitative microscopy-based rapid phenotyping and screeningR01GM088333 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2011 to 2018
$2.3M
Quantitative Understanding of Mechnosensory Circuit on ChipR01NS096581 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2020
$1.7M
Automated droplet-based platform for combinatorial screens on whole animalsR21EB021676 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2015 to 2016
$429k
Microfluidic assays for hyper-reactive platelets in diabetesR21EB020424 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2017
$405k
An Assay to Screen for Drugs Against Transmembrane Proteins Associated with DeafnessR21DC015652 · NIDCD · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2017 to 2018
$386k
NIA NIH HHS R01 AG056436NIBIB NIH HHS R21 EB020424NIBIB NIH HHS R21 EB021676NIDCD NIH HHS R21 DC015652NIGMS NIH HHS R01 GM088333NINDS NIH HHS R01 NS096581
6 · The paper itself

Abstract

Deep phenotyping is an emerging conceptual paradigm and experimental approach aimed at measuring and linking many aspects of a phenotype to understand its underlying biology. To date, deep phenotyping has been applied mostly in cultured cells and used less in multicellular organisms. However, in the past decade, it has increasingly been recognized that deep phenotyping could lead to a better understanding of how genetics, environment and stochasticity affect the development, physiology and behavior of an organism. The nematode Caenorhabditis elegans is an invaluable model system for studying how genes affect a phenotypic trait, and new technologies have taken advantage of the worm's physical attributes to increase the throughput and informational content of experiments. Coupling of these technical advancements with computational and analytical tools has enabled a boom in deep-phenotyping studies of C. elegans. In this Review, we highlight how these new technologies and tools are digging into the biological origins of complex, multidimensional phenotypes.

Indexed as

Genetic TechniquesPhenotypeAnimalsCaenorhabditis elegansLaboratory Animal Science

Identifiers

PMID31217565
PMCPMC8102135

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.