|   |
| Research Topics: |
| INDEX |
| AI-chat 4 |
| PRIME 33 |
| aging 7 |
| body 1 |
| brain 9 |
| cancer 10 |
| climate 1 |
| cognition 4 |
| covid-19 4 |
| crime 5 |
| culture 2 |
| dental 2 |
| diabetes 3 |
| diagnostics 1 |
| disease 1 |
| drugs 1 |
| economy 1 |
| election 3 |
| energy 1 |
| eyes 1 |
| gender 1 |
| genetics 4 |
| gut 3 |
| heart 5 |
| immune 4 |
| kidneys 1 |
| language 1 |
| metabolism 3 |
| microbiome 1 |
| misc 1 |
| nutrition 4 |
| obesity 1 |
| pain 1 |
| physical 1 |
| politics 8 |
| pollution 6 |
| privacy 1 |
| psychology 5 |
| quantum 3 |
| reproduction 2 |
| rights 2 |
| sleep 1 |
| soc-media |
| space 2 |
| stress 2 |
| tech 1 |
| unk |
| vaccine 4 |
| virus 3 |
| war-confl |
| war-cyber 4 |
|
Scanned: 2595 Evaluated: 284 Selected: 69 |
| CANCER   GENETICS | ||||||||
Bcb29-003 | A Pan-Cancer Multi-Omic Analysis of Copy Number Signature Clusters and Genomic Instability | |||||||
| Quote: | Feature importance analysis highlighted expression-driven predictors and pathways linked to genomic instability. These findings show that current CNS frameworks capture complementary rather than interchangeable dimensions of tumor genome instability and suggest that multi-omic profiles can extend signature-based stratification to cohorts without whole-genome sequencing. | |||||||
| Article: | https://www.biorxiv.org/content/10.64898/2026.07.20.739333v1 | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Marco Rota Negroni Ilaria Billato Chiara Romualdi, | |||||||
| GENETICS | ||||||||
Bgn29-006 | Comprehensive landscape of potential CTCF-binding sites across the complete telomere-to-telomere human genome | |||||||
| Quote: |
CCCTC-binding factor (CTCF) is a master regulator of the human genome,
directly modulating both transcription and 3D genome organization.
However, previous human genome-wide maps of its binding sites have been
built on an incomplete assembly, leaving out many repetitive,
difficult-to-sequence regions....
Subterminal heterochromatin spacer regions contain CTCF sites deriving largely from ancient LINE elements and lineage-specific segmental duplications act as a site transfer mechanism between species. We believe that our findings will provide the foundation for future studies of CTCFs function in the repetitive parts of the human genome. | |||||||
| Article: | https://www.biorxiv.org/content/10.64898/2026.07.18.739380v1 | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Eleftherios Bochalis Ilias Georgakopoulos-Soares, | |||||||
| GENETICS | ||||||||
Bgn29-011 | Architectural chromatin interactions provide a framework for context-dependent gene regulation | |||||||
| Quote: | Genes connected to these dual-state regulatory elements are enriched for developmental and signaling pathways and exhibit increased expression specificity across cell types, consistent with specialized roles in context-dependent gene regulation. Together, our findings provide a biologically informed framework for classifying and interpreting chromatin interactions and.,.. | |||||||
| Article: | https://www.biorxiv.org/content/10.64898/2026.07.17.739237v1 | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Mary Likhite Gregory R Andrews Mingshi Gao Vivekanandan Ramalingam Vivian Hecht Anshul Kundaje Jill E Moore, | |||||||
| PRIME   AGING   BRAIN   GENETICS | ||||||||
Mne29-009 | Epigenetic Clock Trajectories and Brain Health in Midlife | |||||||
| Quote: | Accelerated biological aging can be assessed with DNA methylation (DNAm)-based epigenetic clocks. Research suggests that greater DNAm is associated with faster cognitive decline and risk of Alzheimer disease (AD) and other dementias. ,,, Conclusion Middle-aged adults with faster 15-year epigenetic aging trajectories demonstrated worse cognitive performance, whereas those with slower biological aging trajectories exhibited cognitive resilience and more favorable AD biomarker profiles. By examining long-term trajectories rather than single timepoints, these findings identify individuals at differential risk for brain health outcomes. | |||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.07.16.26358251v1 | |||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.07.16.26358251v1.full-text | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Ana I. Boeriu Shea J. Andrews Tina Hoang Sejong Bae Kristine Yaffe, | |||||||
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Javilk's Research Links Newsletter for Week 29 Updated 07/25/2026-03:15:16 AM What interests you? What have you found? Tell me! Drop me a note to subscribe or submit something. |