Mengying Zhang (@milarochester) 's Twitter Profile
Mengying Zhang

@milarochester

Age research of genetics and single-cell multimodal data of aging related disorders in university of Rochester

ID: 1830022496600358912

calendar_today31-08-2024 23:19:12

160 Tweet

16 Followers

122 Following

Marios Georgakis (@mariosgeorgakis) 's Twitter Profile Photo

This is a landmark paper on the heritability of human traits👇 Using WGS data from 350K UK Biobank participants, the study shows that rare (>0.01%) and common (>1%) variants across coding and non-coding regions explain almost all (on average 88%) of the heritability (as

This is a landmark paper on the heritability of human traits👇

Using WGS data from 350K UK Biobank participants, the study shows that rare (>0.01%) and common (>1%) variants across coding and non-coding regions explain almost all (on average 88%) of the heritability (as
Ming "Tommy" Tang (@tangming2005) 's Twitter Profile Photo

8 Resources to study Transcription factor binding, enhancers and histone modification distribution  1. ENCODE encodeproject.org

8 Resources to study Transcription factor binding, enhancers and histone modification distribution
 1. ENCODE encodeproject.org
Epigenome Technologies Inc. (@epigenometech) 's Twitter Profile Photo

Epigenetics Update - Lineage-determining transcription factors constrain cohesin to drive multi-enhancer oncogene regulation go.nature.com/3Me82WO #Epigenetics #Cohesin #Chromatin --- Discover the breakthrough at epigenometech.com

Epigenetics Update - Lineage-determining transcription factors constrain cohesin to drive multi-enhancer oncogene regulation go.nature.com/3Me82WO

#Epigenetics #Cohesin #Chromatin
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Discover the breakthrough at epigenometech.com
Cell (@cellcellpress) 's Twitter Profile Photo

Now online! Retraction notice to: Transcriptome-scale RNA-targeting CRISPR screens reveal essential lncRNAs in human cells dlvr.it/TPdpN6

Marios Georgakis (@mariosgeorgakis) 's Twitter Profile Photo

Biobank Japan now offers GWAS data for NMR metabolomics (N=37,969), as well as a multi-ancestry meta-analysis with UK Biobank & Estonian Biobank (total N=657,341). The data cover 248 metabolites and expand our metabolomics resources for following-up GWAS signals.

Biobank Japan now offers GWAS data for NMR metabolomics (N=37,969), as well as a multi-ancestry meta-analysis with UK Biobank & Estonian Biobank (total N=657,341).

The data cover 248 metabolites and expand our metabolomics resources for following-up GWAS signals.
Stern-Ginossar lab (@sginossarlab) 's Twitter Profile Photo

Our new paper is out nature 🎉. We show that m1Ψ in mRNA vaccines doesn’t just quiet immunity, it also directly enhance translation by reshaping ribosome dynamics in a sequence-dependent way 🧬 Full paper : rdcu.be/eY5gx

Marios Georgakis (@mariosgeorgakis) 's Twitter Profile Photo

New GWAS of age-related hearing loss in a massive sample of 456,613 cases & 1,053,834 controls detects 140 loci. Hearing loss is a huge unmet need with >25% of people >60y affected and no available pharmacotherapy. If you want to find promising drug targets, start here!

New GWAS of age-related hearing loss in a massive sample of 456,613 cases & 1,053,834 controls detects 140 loci.

Hearing loss is a huge unmet need with >25% of people >60y affected and no available pharmacotherapy. If you want to find promising drug targets, start here!
antisense. (@razoralign) 's Twitter Profile Photo

ctOTVelo: Cell type-specific gene regulatory network inference from single cell transcriptomics biorxiv.org/content/10.648…

ctOTVelo: Cell type-specific gene regulatory network inference from single cell transcriptomics biorxiv.org/content/10.648…
bioRxiv Genomics (@biorxiv_genomic) 's Twitter Profile Photo

Comparing bulk and single-cell methodologies and models to profile gene expression, chromatin accessibility and regulatory links in ... biorxiv.org/content/10.648… #biorxiv_genomic

Epigenome Technologies Inc. (@epigenometech) 's Twitter Profile Photo

Epigenetics Update - An H3K4me3 reader recruits the positive transcription elongation factor B complex to facilitate transcription elongation in Arabidopsis bit.ly/4bqInnQ #Epigenetics #H3K4me3 #Plants #Arabidopsis --- Discover the breakthrough: epigenometech.com

Epigenetics Update - An H3K4me3 reader recruits the positive transcription elongation factor B complex to facilitate transcription elongation in Arabidopsis bit.ly/4bqInnQ

#Epigenetics #H3K4me3 #Plants #Arabidopsis
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Discover the breakthrough: epigenometech.com
Cell Metabolism (@cell_metabolism) 's Twitter Profile Photo

New! Online now: Metabolic polygenic risk scores for prediction of obesity, type 2 diabetes, and related morbidities dlvr.it/TRWmz4

New!  Online now: Metabolic polygenic risk scores for prediction of obesity, type 2 diabetes, and related morbidities dlvr.it/TRWmz4
Marios Georgakis (@mariosgeorgakis) 's Twitter Profile Photo

AGT (angiotensinogen) is a key component of the renin-angiotensin-aldosterone system (RAAS). RAAS is the target of multiple successful hypertension therapies. AGT is produced in the liver by hepatocytes, making it a promising target for GalNAc-delivered RNA-based therapeutics.

AGT (angiotensinogen) is a key component of the renin-angiotensin-aldosterone system (RAAS). RAAS is the target of multiple successful hypertension therapies.

AGT is produced in the liver by hepatocytes, making it a promising target for GalNAc-delivered RNA-based therapeutics.
nature (@nature) 's Twitter Profile Photo

Nature research paper: Multidimensional profiling of heterogeneity in supratentorial ependymomas go.nature.com/4brosUV

Science News (@sciencnews) 's Twitter Profile Photo

Macrophage senescence is a central driver of chronic inflammation in aging and metabolic liver disease, and a tractable therapeutic target.

Macrophage senescence is a central driver of chronic inflammation in aging and metabolic liver disease, and a tractable therapeutic target.
Ruslan Rust 🧬🧠 (@rust_ruslan) 's Twitter Profile Photo

New preprint: mass cytometry across 351 blood + CSF samples, two cohorts, full AD continuum. Peripheral immune signatures (pAkt in naïve T killer cells, pPLCγ2 in granulocytes) emerge in preclinical AD, before plasma ptau217, CSF ptau181, and DCE-MRI BBB disruption. Not seen in

New preprint: mass cytometry across 351 blood + CSF samples, two cohorts, full AD continuum.

Peripheral immune signatures (pAkt in naïve T killer cells, pPLCγ2 in granulocytes) emerge in preclinical AD, before plasma ptau217, CSF ptau181, and DCE-MRI BBB disruption. Not seen in