Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression.
The biology and behavior of adults differ substantially from those of developing animals, and cell-specific information is critical for deciphering the biology of multicellular animals. Thus, adult tissue-specific transcriptomic data are critical for understanding molecular mechanisms that control t...
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2018-08-01
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doaj-ef018f0f09e5443c86c14b693df8f4c42020-11-25T02:33:13ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042018-08-01148e100755910.1371/journal.pgen.1007559Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression.Rachel KaletskyVictoria YaoApril WilliamsAlexi M RunnelsAlicja TadychShiyi ZhouOlga G TroyanskayaColeen T MurphyThe biology and behavior of adults differ substantially from those of developing animals, and cell-specific information is critical for deciphering the biology of multicellular animals. Thus, adult tissue-specific transcriptomic data are critical for understanding molecular mechanisms that control their phenotypes. We used adult cell-specific isolation to identify the transcriptomes of C. elegans' four major tissues (or "tissue-ome"), identifying ubiquitously expressed and tissue-specific "enriched" genes. These data newly reveal the hypodermis' metabolic character, suggest potential worm-human tissue orthologies, and identify tissue-specific changes in the Insulin/IGF-1 signaling pathway. Tissue-specific alternative splicing analysis identified a large set of collagen isoforms. Finally, we developed a machine learning-based prediction tool for 76 sub-tissue cell types, which we used to predict cellular expression differences in IIS/FOXO signaling, stage-specific TGF-β activity, and basal vs. memory-induced CREB transcription. Together, these data provide a rich resource for understanding the biology governing multicellular adult animals.http://europepmc.org/articles/PMC6105014?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rachel Kaletsky Victoria Yao April Williams Alexi M Runnels Alicja Tadych Shiyi Zhou Olga G Troyanskaya Coleen T Murphy |
spellingShingle |
Rachel Kaletsky Victoria Yao April Williams Alexi M Runnels Alicja Tadych Shiyi Zhou Olga G Troyanskaya Coleen T Murphy Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. PLoS Genetics |
author_facet |
Rachel Kaletsky Victoria Yao April Williams Alexi M Runnels Alicja Tadych Shiyi Zhou Olga G Troyanskaya Coleen T Murphy |
author_sort |
Rachel Kaletsky |
title |
Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. |
title_short |
Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. |
title_full |
Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. |
title_fullStr |
Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. |
title_full_unstemmed |
Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. |
title_sort |
transcriptome analysis of adult caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Genetics |
issn |
1553-7390 1553-7404 |
publishDate |
2018-08-01 |
description |
The biology and behavior of adults differ substantially from those of developing animals, and cell-specific information is critical for deciphering the biology of multicellular animals. Thus, adult tissue-specific transcriptomic data are critical for understanding molecular mechanisms that control their phenotypes. We used adult cell-specific isolation to identify the transcriptomes of C. elegans' four major tissues (or "tissue-ome"), identifying ubiquitously expressed and tissue-specific "enriched" genes. These data newly reveal the hypodermis' metabolic character, suggest potential worm-human tissue orthologies, and identify tissue-specific changes in the Insulin/IGF-1 signaling pathway. Tissue-specific alternative splicing analysis identified a large set of collagen isoforms. Finally, we developed a machine learning-based prediction tool for 76 sub-tissue cell types, which we used to predict cellular expression differences in IIS/FOXO signaling, stage-specific TGF-β activity, and basal vs. memory-induced CREB transcription. Together, these data provide a rich resource for understanding the biology governing multicellular adult animals. |
url |
http://europepmc.org/articles/PMC6105014?pdf=render |
work_keys_str_mv |
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