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Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling
To study thyroid hormone (TH) signaling in the human brain, we analyzed published microarray data sets of the temporal pole (Brodmann area 38) of 19 deceased donors. An index of TH signaling built on the expression of 19 well known TH-responsive genes in mouse brains (T3S+) varied from 0.92 to 1.1....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575126/ https://www.ncbi.nlm.nih.gov/pubmed/33123655 http://dx.doi.org/10.1210/jendso/bvaa136 |
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author | Marcelino, Cícera P McAninch, Elizabeth A Fernandes, Gustavo W Bocco, Barbara M L C Ribeiro, Miriam O Bianco, Antonio C |
author_facet | Marcelino, Cícera P McAninch, Elizabeth A Fernandes, Gustavo W Bocco, Barbara M L C Ribeiro, Miriam O Bianco, Antonio C |
author_sort | Marcelino, Cícera P |
collection | PubMed |
description | To study thyroid hormone (TH) signaling in the human brain, we analyzed published microarray data sets of the temporal pole (Brodmann area 38) of 19 deceased donors. An index of TH signaling built on the expression of 19 well known TH-responsive genes in mouse brains (T3S+) varied from 0.92 to 1.1. After Factor analysis, T3S+ correlated independently with the expression of TH transporters (MCT8, LAT2), TH receptor (TR) beta and TR coregulators (CARM1, MED1, KAT2B, SRC2, SRC3, NCOR2a). Unexpectedly, no correlation was found between T3S+ vs DIO2, DIO3, SRC1, or TRα. An unbiased systematic analysis of the entire transcriptome identified a set of 1649 genes (set #1) with strong positive correlation with T3S+ (r > 0.75). Factor analysis of set #1 identified 2 sets of genes that correlated independently with T3S+, sets #2 (329 genes) and #3 (191 genes). When processed through the Molecular Signatures Data Base (MSigDB), both sets #2 and #3 were enriched with Gene Ontology (GO)-sets related to synaptic transmission and metabolic processes. Ranking individual human brain donors according to their T3S+ led us to identify 1262 genes (set #4) with >1.3-fold higher expression in the top half. The analysis of the overlapped genes between sets #1 and #4 resulted in 769 genes (set #5), which have a very similar MSigDB signature as sets #2 and #3. In conclusion, gene expression in the human temporal pole can be assessed through T3S+ and fluctuates with subtle variations in local TH signaling. |
format | Online Article Text |
id | pubmed-7575126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75751262020-10-28 Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling Marcelino, Cícera P McAninch, Elizabeth A Fernandes, Gustavo W Bocco, Barbara M L C Ribeiro, Miriam O Bianco, Antonio C J Endocr Soc Research Articles To study thyroid hormone (TH) signaling in the human brain, we analyzed published microarray data sets of the temporal pole (Brodmann area 38) of 19 deceased donors. An index of TH signaling built on the expression of 19 well known TH-responsive genes in mouse brains (T3S+) varied from 0.92 to 1.1. After Factor analysis, T3S+ correlated independently with the expression of TH transporters (MCT8, LAT2), TH receptor (TR) beta and TR coregulators (CARM1, MED1, KAT2B, SRC2, SRC3, NCOR2a). Unexpectedly, no correlation was found between T3S+ vs DIO2, DIO3, SRC1, or TRα. An unbiased systematic analysis of the entire transcriptome identified a set of 1649 genes (set #1) with strong positive correlation with T3S+ (r > 0.75). Factor analysis of set #1 identified 2 sets of genes that correlated independently with T3S+, sets #2 (329 genes) and #3 (191 genes). When processed through the Molecular Signatures Data Base (MSigDB), both sets #2 and #3 were enriched with Gene Ontology (GO)-sets related to synaptic transmission and metabolic processes. Ranking individual human brain donors according to their T3S+ led us to identify 1262 genes (set #4) with >1.3-fold higher expression in the top half. The analysis of the overlapped genes between sets #1 and #4 resulted in 769 genes (set #5), which have a very similar MSigDB signature as sets #2 and #3. In conclusion, gene expression in the human temporal pole can be assessed through T3S+ and fluctuates with subtle variations in local TH signaling. Oxford University Press 2020-09-22 /pmc/articles/PMC7575126/ /pubmed/33123655 http://dx.doi.org/10.1210/jendso/bvaa136 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Endocrine Society. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Articles Marcelino, Cícera P McAninch, Elizabeth A Fernandes, Gustavo W Bocco, Barbara M L C Ribeiro, Miriam O Bianco, Antonio C Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling |
title | Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling |
title_full | Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling |
title_fullStr | Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling |
title_full_unstemmed | Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling |
title_short | Temporal Pole Responds to Subtle Changes in Local Thyroid Hormone Signaling |
title_sort | temporal pole responds to subtle changes in local thyroid hormone signaling |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575126/ https://www.ncbi.nlm.nih.gov/pubmed/33123655 http://dx.doi.org/10.1210/jendso/bvaa136 |
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