hetzer

anti-extremist

[Genes & Diseases Journal @GenesNDiseases]

Can NEIL #glycosylases guard #GenomeStability beyond BER?
This review shows NEIL1–3 link repair to replication, transcription, mitochondria, and immunity, with dysregulation driving various diseases. @ShandongUni1901
#GenesAndDiseases: https://t.co/XGJVwUTgjU

[Genes & Diseases Journal @GenesNDiseases]

How does the #nucleolus shape early development?
This review explores its remodeling in oocytes & embryos, highlighting roles in chromatin organization, #epigenetic inheritance, oocyte maturation & #EmbryonicDevelopment.
#GenesAndDiseases: https://t.co/48BBbYpxLW

[Ash Paul @pash22]

Tutorial: guidance on the use of large language models for medical research
https://t.co/gG0vjCzyIl via @DrQiaoJin et al

[Nathaniel David @NathanielEDavid]

CRISPR's ancestor turns out to be a weapon. Viruses built to fight other viruses. Bacteria stole it and pointed it back. @DoudnaLab

https://t.co/NEh3kXZBll

[Cell Reports @CellReports]

SDCBP competes with CBL to stabilize PES1 and promote c-Myc translation in ESCC tumorigenesis https://t.co/so0OB9QEht

[Avi Roy @agingroy]

Tumor cells are literally handing their mitochondria to the T cells meant to kill them.

The T cells can't digest them, so the cancer's mitochondria take over, the T cells go senescent, and killing stops. Researchers spotted it because the T cells carried mitochondrial DNA mutations identical to those of the tumor.

Patients whose tumors had those mutations did worse on immunotherapy.

[Boston Protein Design and Modeling Club @ProteinBoston]

If you missed Natasha Murakowska's really great seminar the other week, don't fret as you can check out the recording 👇
https://t.co/ZjHYsCZXR4

[Nature Biotechnology @NatureBiotech]

Guidance for optimizing lipid nanoparticle formulations is derived using sophisticated biophysical techniques https://t.co/TVq9PT9ja0
https://t.co/p6bq4mMffe

[Alex Zhavoronkov, PhD (aka Aleksandrs Zavoronkovs) @biogerontology]

Oocyte aging finally gets a single-cell proteome+transcriptome map.

Cao, Wu, Jiang, Hou et al. (Zhejiang, Xudong Fu lab) built a single-oocyte co-profiling pipeline (proteins + mRNA from the SAME oocyte), then compared young vs aged mouse GV and MII oocytes in Nature Communications (Sep 21, 2026).

The clean finding: proteome and transcriptome disagree. Post-transcriptional regulation and protein turnover dominate what actually changes as oocytes age. Bulk RNA-seq misses most of it.

Their strongest hit: dysregulated lactate metabolism. MCT4 (SLC16A3, the lactate exporter) is one of the top-ranked age-associated proteins. That pins metabolism, not just DNA damage or spindle defects, as an intrinsic driver of the aging oocyte.

Why this matters for our field: our work on aging biomarkers (Moqri et al., Cell 2023 and Nat Med 2024) has argued that protein-level readouts are underused vs methylation and transcriptomic clocks. Oocytes are the extreme case, long-lived, post-mitotic single cells where post-transcriptional biology has to carry the signal. This is a proof of principle.

Also worth flagging: aging oocytes look nothing like early-life oocytes at the protein level even when the transcriptome looks similar. We need protein clocks for reproductive aging, not just RNA clocks.

Paper (open access): https://t.co/9KilhyDZKW

#aging #longevity #reproductivehealth

[Smart Biology @SmartBiology3D]

Biology is full of things students can't see with their own eyes:

Molecular interactions.
Cellular processes.
Protein structures.
Complex biological pathways.

That's exactly why visualization matters.

Bring biology to life with 3D animation and interactive learning.

https://t.co/lvzLbj5Vkc

#biology #science #3D #animation #EdTech #HigherEd

[Luis J. Castro-Vega, MD, PhD. @LuisJaimeCastr3]

https://t.co/6D7GdueSSB

[BalticWay @BalticDanny]

Beyond uncanny ‼️

Lithuanian media pushes THIS even into the most ancient forms of Baltic culture❗

Their goal is to demoralise our people and desicrate our heritage.

However, they can only mock for so long... Until it all comes back.

The tide is rising.
We will not stop 🌿

[Nature Biomedical Engineering @natBME]

Biomimetic graphitic carbon nitride nanoparticles for multiscale photomodulation and therapeutic intervention https://t.co/kcDtxSI8R5

[Nature Biotechnology @NatureBiotech]

The novel transcripts we keep rediscovering https://t.co/dZ7Tze7OP0

[Ah-Ram Kim @ahramkim1128]

Interpreting human genetic variation at atomic resolution
https://t.co/JewVozANKr

[バイオステーション(Bio-station)/ポッドキャスト @Bio_stations]

RNA修飾の空間分布

近接標識と質量分析を組み合わせた手法APEX-RNA-MSにより、特定の細胞内区画に局在するRNAの修飾状態を検証。DNA損傷箇所にm6Aやm5Cが蓄積したり、ストレス顆粒にtRNAが集積したりするらしい
https://t.co/qrIaoFuQpH

[nature @Nature]

Nature research paper: Rapid patient-specific neural networks for X-ray to volume registration

https://t.co/h14aLFgFr3

[Western Origins @western_origins]

It appears WHG were mostly pale, blue eyed and light haired, looking somewhat like this.

It's high time the outdated WHG images give way to newer reconstructions.

[PensiveCowboy @CowboyPensive]

Latrinas

[Concepcion Campos-Asensio @biblioGetafe]

📚Jin Q, Wan N, Leaman R, Tian S, Wang Z, Yang Y, et al. Tutorial: guidance on the use of large language models for medical research. 2026.
@NatureProtocols
🔗https://t.co/lQsUz3VtLv
#InteligenciaArtificial #InvestigaciónMédica