TY - JOUR
T1 - Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression
AU - Kaletsky, Rachel
AU - Yao, Victoria
AU - Williams, April
AU - Runnels, Alexi M.
AU - Tadych, Alicja
AU - Zhou, Shiyi
AU - Troyanskaya, Olga G.
AU - Murphy, Coleen T.
N1 - Publisher Copyright:
© 2018 Kaletsky et al. http://creativecommons.org/licenses/by/4.0/.
PY - 2018/8
Y1 - 2018/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85053074565&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053074565&partnerID=8YFLogxK
U2 - 10.1371/journal.pgen.1007559
DO - 10.1371/journal.pgen.1007559
M3 - Article
C2 - 30096138
AN - SCOPUS:85053074565
SN - 1553-7390
VL - 14
JO - PLoS genetics
JF - PLoS genetics
IS - 8
M1 - e1007559
ER -