Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Meichen Yu
Avian functional space occupancy and trait–environment associations along a composite urbanisation gradient in urban green spaces
CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. DATA AVAILABILITY STATEMENT Data are available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.nk98sf88q (Xu et al., 2026). Supporting Information Filename Description jpe70588-sup-0001-TableS1-S14-FigureS1-S2.docxWord 2007 document , 611.8 KB Table S1. Overview of the 24 urban green-space patches, field sampling effort and classification into composite urbanisation gradient groups. Table S2.
Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data
Abstract Single cell RNA-seq (scRNA-seq) technologies provide unprecedented resolution representing transcriptomics at the level of single cell. One of the biggest challenges in scRNA-seq data analysis is the cell type annotation, which is usually inferred by cell separation approaches. In-silico algorithms that accurately identify individual cell types in ongoing single-cell sequencing studies are crucial for unlocking cellular heterogeneity and understanding the biological basis of diseases.
TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues - Nature Communications
Abstract The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. However, the topological principles governing interactions among cell types within spatial patterns remain poorly understood.
Cell Type Differentiation Using Network Clustering Algorithms
Abstract Single cell RNA-seq (scRNA-seq) technologies provide unprecedented resolution representing transcriptomics at the level of single cell. One of the biggest challenges in scRNA-seq data analysis is the cell type annotation, which is usually inferred by cell separation approaches. In-silico algorithms that accurately identify individual cell types in ongoing single-cell sequencing studies are crucial for unlocking cellular heterogeneity and understanding the biological basis of diseases.
CYP1B1-RMDN2 Alzheimer’s disease endophenotype locus identified for cerebral tau PET - Nature Communications
|
Abstract Determining the genetic architecture of Alzheimer’s disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron emission tomography in 3046 participants from 12 independent studies. The CYP1B1-RMDN2 locus is associated with tau deposition.
By Shannon L. Risacher, Paula J Bice, Jared Brosch, Kelley Faber, Martin R Farlow, Tatiana Foroud, Thea J. Rosewood, Jun kim, Kelly Nudelman, Meichen Yu, Reisa Sperling, William Jagust, Aparna Vasanthakumar, Vincent Doré, Simon Laws, Tenielle Porter, Christopher Rowe, Timothy J. Hohman, Rachel Buckley, Hyun-Sik Yang, Ronald Petersen, Vijay Ramanan, Nilüfer Ertekin-Taner, Prashanthi Vemuri, M. Ilyas Kamboh, Oscar Lopez Verified, Muhammad Shoaib Ali, Carlos Cruchaga, Diana A. Hobbs, Vaishnavi Jadhav, Bruce Lamb, Andy P. Tsai, Isabel Castanho, Jonathan Mill, Lifestyle study
|
Nature
Verified
Community Diversity of Fungi Carried by Four Common Woodpeckers in Heilongjiang Province, China
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Spatial transcriptomic patterns underlying amyloid-β and tau pathology are associated with cognitive dysfunction in Alzheimer’s disease
Highlights • Regional gene expression profiles are related to regional vulnerability to Aβ and tau • Distinct biochemical pathways are correlated with the gene-to-pathology associations • Gene-to-Aβ and gene-to-tau associations are linked to cognitive dysfunction in AD Summary Amyloid-β (Aβ) and tau proteins accumulate within distinct neuronal systems in Alzheimer’s disease (AD).
The human connectome in Alzheimer disease — relationship to biomarkers and genetics - Nature Reviews Neurology
1. Squire, L. R., Stark, C. E. L. & Clark, R. E. The medial temporal lobe. Annu. Rev. Neurosci. 27, 279–306 (2004). CAS PubMed Article Google Scholar 2. Dubois, B. et al. Clinical diagnosis of Alzheimer’s disease: recommendations of the International Working Group. Lancet Neurol. 4422, 1–13 (2021). Google Scholar 3. Sperling, R. A. et al. Amyloid deposition is associated with impaired default network function in older persons without dementia. Neuron 63, 178–188 (2009).
Linking antidepressant performance with pain network connectivity
1 Wang Y Bernanke J Peterson BS et al. The association between antidepressant treatment and brain connectivity in two double-blind, placebo-controlled clinical trials: a treatment mechanism study. the authors set out to examine the effects of two SNRI antidepressant class medications (duloxetine and desvenlafaxine) on resting state functional connectivity and the association of these medications with alleviation of symptoms of depression.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Meichen
Contact Meichen, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack