Articles with "analysis identifies" as a keyword



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Weighted correlation network analysis identifies multiple susceptibility loci for low‐grade glioma

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Published in 2022 at "Cancer Medicine"

DOI: 10.1002/cam4.5368

Abstract: The current molecular classifications cannot completely explain the polarized malignant biological behavior of low‐grade gliomas (LGGs), especially for tumor recurrence. Therefore, we tried to identify suspicious hub genes related to tumor recurrence in LGGs. read more here.

Keywords: grade; analysis identifies; correlation network; network analysis ... See more keywords
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Comparative proteomic analysis identifies differentially expressed proteins associated with meiotic arrest in cattle-yak hybrids.

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Published in 2023 at "Proteomics"

DOI: 10.1002/pmic.202300107

Abstract: Cattle-yak, the interspecific hybrid between yak and taurine cattle, exhibits male-specific sterility. Massive loss of spermatogenic cells, especially spermatocytes, results in azoospermia in these animals. Currently, the mechanisms underlying meiosis block and defects in spermatocyte… read more here.

Keywords: cattle yak; comparative proteomic; proteins associated; analysis identifies ... See more keywords
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Mutational analysis identifies functional Rap1, Su(Hw), and CTCF insulator sites in Arabidopsis thaliana.

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Published in 2020 at "Plant cell reports"

DOI: 10.1007/s00299-020-02601-4

Abstract: KEY MESSAGE Genetic analysis identifies multiple, potential protein binding sites important for insulator function in Arabidopsis thaliana: Rap1 site in UASrpg, Su(Hw) site in UASrpg, and CTCF site in BEAD1c. Three non-plant insulators UASrpg, BEAD1c,… read more here.

Keywords: analysis identifies; arabidopsis thaliana; site; rap1 ... See more keywords
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Comprehensive transcriptomic analysis identifies novel regulators of lung adenocarcinoma

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Published in 2020 at "Journal of Cell Communication and Signaling"

DOI: 10.1007/s12079-020-00565-4

Abstract: Lung adenocarcinoma (LA) is a subtype of lung cancer that accounts for about 40% of all lung cancers. Analysis of molecular mechanisms controlling this cancer can help scientists to detect, control and treat LA. Here,… read more here.

Keywords: lung adenocarcinoma; analysis identifies; transcriptomic analysis; comprehensive transcriptomic ... See more keywords
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A cross-species spatiotemporal proteomic analysis identifies UBE3A-dependent signaling pathways and targets

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Published in 2022 at "Molecular Psychiatry"

DOI: 10.1038/s41380-022-01484-z

Abstract: Angelman syndrome (AS) is a severe neurodevelopmental disorder caused by the loss of neuronal E3 ligase UBE3A. Restoring UBE3A levels is a potential disease-modifying therapy for AS and has recently entered clinical trials. There is… read more here.

Keywords: analysis; spatiotemporal proteomic; species spatiotemporal; analysis identifies ... See more keywords
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Systems analysis identifies melanoma-enriched pro-oncogenic networks controlled by the RNA binding protein CELF1

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Published in 2017 at "Nature Communications"

DOI: 10.1038/s41467-017-02353-y

Abstract: Melanomas are well-known for their altered mRNA expression profiles. Yet, the specific contribution of mRNA binding proteins (mRBPs) to melanoma development remains unclear. Here we identify a cluster of melanoma-enriched genes under the control of… read more here.

Keywords: melanoma; analysis identifies; identifies melanoma; melanoma enriched ... See more keywords
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Epigenome-wide Analysis Identifies Genes and Pathways Linked to Neurobehavioral Variation in Preterm Infants

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Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-42654-4

Abstract: Neonatal molecular biomarkers of neurobehavioral responses (measures of brain-behavior relationships), when combined with neurobehavioral performance measures, could lead to better predictions of long-term developmental outcomes. To this end, we examined whether variability in buccal cell… read more here.

Keywords: analysis identifies; age; wide analysis; preterm infants ... See more keywords
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Structural analysis identifies an escape route from the adverse lipogenic effects of liver X receptor ligands

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Published in 2019 at "Communications Biology"

DOI: 10.1038/s42003-019-0675-0

Abstract: Liver X receptors (LXRs) are attractive drug targets for cardiovascular disease treatment due to their role in regulating cholesterol homeostasis and immunity. The anti-atherogenic properties of LXRs have prompted development of synthetic ligands, but these… read more here.

Keywords: analysis identifies; anti atherogenic; lipogenic effects; adverse lipogenic ... See more keywords
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Selection Analysis Identifies Clusters of Unusual Mutational Changes in Omicron Lineage BA.1 That Likely Impact Spike Function

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Published in 2022 at "Molecular Biology and Evolution"

DOI: 10.1093/molbev/msac061

Abstract: Abstract Among the 30 nonsynonymous nucleotide substitutions in the Omicron S-gene are 13 that have only rarely been seen in other SARS-CoV-2 sequences. These mutations cluster within three functionally important regions of the S-gene at… read more here.

Keywords: function; likely impact; analysis identifies; selection ... See more keywords
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CMap analysis identifies Atractyloside as a potential drug candidate for type 2 diabetes based on integration of metabolomics and transcriptomics

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Published in 2020 at "Journal of Cellular and Molecular Medicine"

DOI: 10.1111/jcmm.15357

Abstract: This research aimed at exploring the mechanisms of alterations of metabolites and pathways in T2D from the perspective of metabolomics and transcriptomics, as well as uncovering novel drug candidate for T2D treatment. read more here.

Keywords: cmap analysis; drug candidate; metabolomics transcriptomics; analysis identifies ... See more keywords
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Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer

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Published in 2022 at "Journal of Diabetes Research"

DOI: 10.1155/2022/4629419

Abstract: Background So far, type 2 diabetes (T2D) is considered as an independent risk factor for various cancers, but the underlying mechanism remains unclear. Methods. SLC24A2 was first identified as a key gene strongly associated with… read more here.

Keywords: multiomics integrated; analysis identifies; analysis; type diabetes ... See more keywords