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Pourya Naderi

@pouryany.bsky.social
82 followers 225 following 15 posts

Comp bio | Networks | Noncoding RNAs | Neurodegeneration. Scientist @HarvardMed. UNCcharlotte Alum.

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Reposted by Pourya Naderi
Winston Hide @winhide.bsky.social · 12/07/2026
@curealzheimersfund.bsky.social People who have Alzheimer's disease pathology but no loss of cognition. Why? Discoveries we are making give new insights! See presentations by Isabel Castanho @isabelscst.bsky.social Pourya Naderi @pouryany.bsky.social and Giulia Pegoraro at #AAIC26 here in London.
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Reposted by Pourya Naderi
BIDMC Cancer Center @bidmc-cancercenter.bsky.social · 24/04/2026
🏆 Congratulations to our #RNAMedicine2026 poster award winners for their extraordinary research! ⭐️ Mahima Dewani, PhD @harvardmed.bsky.social: Translational Science ⭐️ Marsel Lino, PhD: Basic Science ⭐️ Michelle Luo: Basic Science ⭐️ @pouryany.bsky.social: Collaborative Science
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Reposted by Pourya Naderi
Kuchroo Lab @kuchroolab.bsky.social · 28/04/2025
Our research on how the immune checkpoint TIM-3 regulates microglia & Alzheimer's disease highlighted in the @harvard.edu Gazette 👇 🧪 news.harvard.edu/gazette/stor...
news.harvard.edu
Immune-system strategy used to treat cancer may help with Alzheimer’s — Harvard Gazette
Turning off checkpoint molecules freed microglia to attack plaques in brain, improved memory in mice.
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Pourya Naderi @pouryany.bsky.social · 04/04/2025
This is a really cool study. Congratulations
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Reposted by Pourya Naderi
Scripps Research @scripps.edu · 03/04/2025
The Lipp Lab (@lippilab.bsky.social) has uncovered how microRNAs guide the development of Purkinje cells—rare neurons tied to movement and autism. Published in Neuron, a @cellpress.bsky.social journal, the study maps how precise timing and gene regulation shape these cells’ identity and structure.
scripps.edu
How microRNAs act as a “blueprint” for the developing brain
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Pourya Naderi @pouryany.bsky.social · 04/04/2025
If you’re attending #adpd2025 drop by to hear about our latest research on #Alzheimers drug target discovery Title: Bringing precision modeling to Alzheimer's Disease. Fri, 04.04.2025 | 18:40 - 19:40 | Hall C
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Reposted by Pourya Naderi
Winston Hide @winhide.bsky.social · 03/04/2025
#adpd2025 insights into the Alzheimer’s continuum. 4/4/25 @19:25 @pouryany.bsky.social will present our new approach to discovering validated targets for AD therapy
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Reposted by Pourya Naderi
Arjun Raj @arjunraj.bsky.social · 12/03/2025
Labeling your axes and then explaining them slowly is perhaps the biggest bang for the buck you can get for making your slides more understandable.
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Reposted by Pourya Naderi
Rodrigo Suárez, PhD @rsuarezsaa.bsky.social · 23/01/2025
p38 MAPK-MK2 inhibitors (e.g. losmapimod) show new promises in treating Alzheimer's disease. Today @cp-neuron.bsky.social www.cell.com/neuron/fullt...
cell.com
Integrative pathway analysis across humans and 3D cellular models identifies the p38 MAPK-MK2 axis as a therapeutic target for Alzheimer’s disease
Naderi and Kwak et al. developed IPAA, an integrated cellular/bioinformatics platform. IPAA derisks drug discovery by integrating Alzheimer’s brain gene expression with cellular model functional reado...
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Reposted by Pourya Naderi
Jonathan Pritchard @jkpritch.bsky.social · 26/01/2025
Modern GWAS can identify 1000s of significant hits but it can be hard to turn this into biological insight. What key cellular functions link genetic variation to disease? I'm very excited to present our new work combining associations and Perturb-seq to build interpretable causal graphs! A 🧵
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Reposted by Pourya Naderi
Winston Hide @winhide.bsky.social · 22/01/2025
What are the molecular and cellular hallmarks of resilience and resistance to Alzheimer's Disease? Awesome discoveries with @pouryany.bsky.social @isabelscst.bsky.social We’re growing our team—deliver translation with omics! #cureAlzheimersFund #Postdoc shorturl.at/bGyUqhife hidelab.net
Elderly woman  hands are steady with resistance and resilience to Alzheimer's disease
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
Many thanks to our funders: National Institute on Aging (NIA), CureAlzheimer's Fund, Beth Israel Deaconess Medical Center. 11/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
Shout out to Carles Boix, Sarah Morgan, Hansruedi Mathys, Dmitry Prokopenko, Bartholomew White, Larisa Soto, Giulia Pegoraro, Saloni Shah, Athanasios Ploumakis, Nikolas Kalavros, David Bennett, Christoph Lange, Doo Yeon Kim, Lars Bertram, Li-Huei Tsai, Manolis Kellis, and Rudolph Tanzi. 10/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
We welcome your comments and feedback! It really took a village over many years to make this work happen. First and foremost, thanks to Isabel's @isabelscst.bsky.social leadership, persistence, and vision. 9/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
we found a population of MEF2C+ATP8B1+RELN+ excitatory neurons with increased proportions in resilience and significant depletion in AD. In resilient subjects, these neurons uniquely maintained cellular communication with neurons through neurotrophin and angiopoietin signaling pathways. 8/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
Distinct roles for excitatory and inhibitory neurons in resilience/resistance: Using a snRNA seq cohort of AD brains and leveraging genes associated with rare genetic variants of AD, we found subtypes of somatostatin+ inhibitory neurons to be associated with resistance and vulnerability to AD. 7/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
Most of the tissue level changes of gene expression were observed between AD and resilience and were concordantly dysregulated between AD vs healthy. Comparison of AD polygenic risk scores confirmed resilience as an intermediate stage between AD and healthy conditions. 6/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
Resilience is a sustained presymptomatic stage of AD rather than a distinct trajectory. Surprisingly, only two genes showed differential expression between resilience and healthy subjects in a post-mortem brain autopsy cohort: GFAP and KLF4. 5/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
What we found was distinct roles for excitatory and inhibitory neurons in resilience and resistance to AD. Some of our findings👇 4/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
We asked how brain cell populations and their distinct molecular functions contribute to describing resilience. We integrated evidence from bulk RNA sequencing, rare variant genetics, single-nuclei RNA seq, and immunofluorescent imaging. #RNASeq #SingleCell 3/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
Many aged individuals show resilience to AD by maintaining healthy cognition despite having advanced AD pathology. Understanding the biological mechanisms of resilience could lead to the development of much-needed new approaches to combat the disease. #AlzheimersResearch #Bioinformatics 2/n
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Pourya Naderi @pouryany.bsky.social · 22/01/2025
New preprint alert! Check out our manuscript on molecular and cellular hallmarks of resilience and resistance to Alzheimer's Disease (AD) led by @isabelscst.bsky.social and myself from @winhide.bsky.social's Lab. Paper link: doi.org/10.1101/2025... #Alzheimers #Genomics #Aging Details 👇 1/n
doi.org
Molecular hallmarks of excitatory and inhibitory neuronal resilience and resistance to Alzheimer’s disease
Background A significant proportion of individuals maintain healthy cognitive function despite having extensive Alzheimer’s disease (AD) pathology, known as cognitive resilience. Understanding the mol...
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Reposted by Pourya Naderi
BrunetLab @brunetlab.bsky.social · 18/12/2024
Thrilled to see this paper out!! 🧪 Spatial transcriptomics of brain aging and 'spatial aging clocks' identify cells that have pro-aging or pro-rejuvenating effects on their neighbors! Huge CONGRATS to Eric Sun and all authors! Fantastic collaboration with @jameszou.bsky.social! rdcu.be/d33uQ 🧵
rdcu.be
Spatial transcriptomic clocks reveal cell proximity effects in brain ageing
Nature - A spatially resolved single-cell transcriptomics map of the mouse brain at different ages reveals signatures of ageing, rejuvenation and disease, including ageing effects associated with T...
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Reposted by Pourya Naderi
Eric Topol @erictopol.bsky.social · 10/12/2024
Interleukin-23 receptor as a biomarker for aging and potential link to senolytic therapy www.nature.com/articles/s43...
nature.com
IL-23R is a senescence-linked circulating and tissue biomarker of aging - Nature Aging
Using mouse and human plasma, Carver et al. identify factors that are altered with age and test which are reverted by a panel of genetic and pharmacological senolytic interventions in aged mice. They ...
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Pourya Naderi @pouryany.bsky.social · 06/12/2024
Check out our recent work in Neuron! Our platform helps derisk preclinical to clinical translation by precisely pinning down models that recapitulate pathogenic functions in Alzheimer’s disease brains. Feel free to dm if you are interested in knowing more.
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Reposted by Pourya Naderi
Babak Alipanahi @babaka.bsky.social · 22/11/2024
Today was a great day! Our paper on using an AI platform for cell-free RNA liquid biopsy is finally published in Nature Communications! Huge thanks to our amazing team at @exai.bio for making this happen! The code is open-source and readily available. www.nature.com/articles/s41...
nature.com
Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancer - Nature Communications
A generative AI model, Orion, learns a robust and generalizable pattern of non-small cell lung cancer from cancer-specific circulating non-coding RNAs. Orion enhances the performance of liquid biopsy ...
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Reposted by Pourya Naderi
🇲🇽 Leonardo Collado-Torres @lcolladotor.bsky.social · 21/11/2024
On the topic of non-negative matrix factorization (NMF, implemented in #RcppML among other #RStats 📦 s) the #NSF paper by Townes & Engelhart citation #7 was great! 💯 (@lahuuki.bsky.social journal club 📹🔜!) www.nature.com/articles/445... published in 1999 shows how NMF gets face elements unlike PCA
Figure 1 from https://www.nature.com/articles/44565/figures/1: 

Figure 1: Non-negative matrix factorization (NMF) learns a parts-based representation of faces, whereas vector quantization (VQ) and principal components analysis (PCA) learn holistic representations.
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Pourya Naderi @pouryany.bsky.social · 19/11/2024
Just gonna put up some hashtag to find peeps. #genomics #bioinformatics #singlecell #Alzheimer’s #systemsbiology #compbio #omics
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