Cargando…
High-throughput hyperdimensional vertebrate phenotyping
Most gene mutations and biologically active molecules cause complex responses in animals that cannot be predicted by cell culture models. Yet animal studies remain too slow and their analyses are often limited to only a few readouts. Here we demonstrate high-throughput optical projection tomography...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573763/ https://www.ncbi.nlm.nih.gov/pubmed/23403568 http://dx.doi.org/10.1038/ncomms2475 |
_version_ | 1782259496006975488 |
---|---|
author | Pardo-Martin, Carlos Allalou, Amin Medina, Jaime Eimon, Peter M. Wählby, Carolina Yanik, Mehmet Fatih |
author_facet | Pardo-Martin, Carlos Allalou, Amin Medina, Jaime Eimon, Peter M. Wählby, Carolina Yanik, Mehmet Fatih |
author_sort | Pardo-Martin, Carlos |
collection | PubMed |
description | Most gene mutations and biologically active molecules cause complex responses in animals that cannot be predicted by cell culture models. Yet animal studies remain too slow and their analyses are often limited to only a few readouts. Here we demonstrate high-throughput optical projection tomography with micrometer resolution and hyperdimensional screening of entire vertebrates in tens of seconds using a simple fluidic system. Hundreds of independent morphological features and complex phenotypes are automatically captured in three dimensions with unprecedented speed and detail in semi-transparent zebrafish larvae. By clustering quantitative phenotypic signatures, we can detect and classify even subtle alterations in many biological processes simultaneously. We term our approach hyperdimensional in vivo phenotyping (HIP). To illustrate the power of HIP, we have analyzed the effects of several classes of teratogens on cartilage formation using 200 independent morphological measurements and identified similarities and differences that correlate well with their known mechanisms of actions in mammals. |
format | Online Article Text |
id | pubmed-3573763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-35737632013-08-12 High-throughput hyperdimensional vertebrate phenotyping Pardo-Martin, Carlos Allalou, Amin Medina, Jaime Eimon, Peter M. Wählby, Carolina Yanik, Mehmet Fatih Nat Commun Article Most gene mutations and biologically active molecules cause complex responses in animals that cannot be predicted by cell culture models. Yet animal studies remain too slow and their analyses are often limited to only a few readouts. Here we demonstrate high-throughput optical projection tomography with micrometer resolution and hyperdimensional screening of entire vertebrates in tens of seconds using a simple fluidic system. Hundreds of independent morphological features and complex phenotypes are automatically captured in three dimensions with unprecedented speed and detail in semi-transparent zebrafish larvae. By clustering quantitative phenotypic signatures, we can detect and classify even subtle alterations in many biological processes simultaneously. We term our approach hyperdimensional in vivo phenotyping (HIP). To illustrate the power of HIP, we have analyzed the effects of several classes of teratogens on cartilage formation using 200 independent morphological measurements and identified similarities and differences that correlate well with their known mechanisms of actions in mammals. 2013 /pmc/articles/PMC3573763/ /pubmed/23403568 http://dx.doi.org/10.1038/ncomms2475 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Pardo-Martin, Carlos Allalou, Amin Medina, Jaime Eimon, Peter M. Wählby, Carolina Yanik, Mehmet Fatih High-throughput hyperdimensional vertebrate phenotyping |
title | High-throughput hyperdimensional vertebrate phenotyping |
title_full | High-throughput hyperdimensional vertebrate phenotyping |
title_fullStr | High-throughput hyperdimensional vertebrate phenotyping |
title_full_unstemmed | High-throughput hyperdimensional vertebrate phenotyping |
title_short | High-throughput hyperdimensional vertebrate phenotyping |
title_sort | high-throughput hyperdimensional vertebrate phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573763/ https://www.ncbi.nlm.nih.gov/pubmed/23403568 http://dx.doi.org/10.1038/ncomms2475 |
work_keys_str_mv | AT pardomartincarlos highthroughputhyperdimensionalvertebratephenotyping AT allalouamin highthroughputhyperdimensionalvertebratephenotyping AT medinajaime highthroughputhyperdimensionalvertebratephenotyping AT eimonpeterm highthroughputhyperdimensionalvertebratephenotyping AT wahlbycarolina highthroughputhyperdimensionalvertebratephenotyping AT yanikmehmetfatih highthroughputhyperdimensionalvertebratephenotyping |