Jiranuwat (Bas) Sapudom

#Science is all about peer review… but I didn’t expect us to get 14 reviewers this fast. What do we do now? Help. 😂#AcademicTwitter #Publication #Phd #PeerReview

This work was led by our PhD student @AseelAlatoom. Great job!

Flat surfaces drive stronger early activation than bead-based contacts, #Geometry matters! But long-term fate is set by #Stiffness: softer, #biomimetic environments (#lymphoid #tissue/DC-like #stiffness) keep #Tcells functional and killing #tumors for longer in #Immunotherapy.

Stiffer surfaces were thought to be best for #Tcells. But that’s only part of the story!? Our new preprint suggests a different direction for designing materials for #Tcelll #expansion. Preprint: biorxiv.org/content/10.648…

Clinical-standard rigid expansion beads often drive T cells toward "bioenergetic collapse" and premature exhaustion. Using soft polyacrylamide substrates mimic APC stiffness, preservingfitness. Enhanced cytotoxicity against breast cancer cells even in restrictive 3D environments.

We’re excited to share our new bioRxiv preprint: “Transient contractility attenuation reprograms epithelial cells into a protrusion-driven state that drives tissue fluidization” biorxiv.org/content/10.648… This work asks a simple but deep question: How do tissues actively fluidize?

Decker et al. compared TCR-T (expressing true TCR) and CAR-T (expressing anti-pHLA Aab with CD28 or 4-1BB costimulation) targeting the same peptide antigen, MAGEA4. Compared to the TCR, the CARs were less sensitive to low antigen density on target cells, but more effectively controlled tumors in vivo, accompanied by greater T cell expansion and tumor accumulation with the 4-1BB CAR-T. In an in vitro coculture model, TCR-T cells also had inferior long-term tumor killing and greater exhaustion compared to CAR-T. Supporting TCR-T with 4-1BBL or IL-2 (via fusion to an anti-PD-1 Ab) improved functionality and efficacy. bit.ly/45NGgrj  @regeneron

Transcription factors for T cell differentiation cataloged. share.google/eGoQgsBnCJvFt8…

Educational immunology image of the day, created with Gemini. The gut immune system.

Our new work alert 🚨 Chronic #cholesterol exposure rewires #immune #metabolism and disrupts #macrophage polarization, uncoupling surface markers from cytokine output and driving mixed, #hypersecretory immune states in cholesterol-rich environments. 🔗 doi.org/10.1021/acsome…

Enjoy! #v=onepage&q&f=false" target="_blank" rel="nofollow noopener">books.google.com.pe/books?id=ZVO0D…

#REVIEW 🚨 Tumor heterogeneity shapes progression and treatment, yet bulk expression data fails to capture this. Now Dai et al. outline deconvolution methods that resolve cell-type-specific signals to maximize bulk transcriptomic data. bit.ly/490J71N

Biology isn’t just chemistry, it’s geometry in motion. This new Nature Biotech work shows that when we change the envelope geometry of a delivery particle, the efficiency of gene transfer into stem cells shifts dramatically. In VFD, this is expected: Geometry → Field Coherence → Cellular Response. Cells don’t react to molecules alone, they react to harmonic structure. When the geometry aligns, the information flows. VFD-BioSim models this directly, connecting φ-geometry, torsion, and receptor coherence into a unified biological framework. The closer biology moves toward geometry, the clearer the deeper mechanism becomes. @NatureBiotech @Nature #VFD #BioSim #GeometryOfLife #GeneEditing #Biotech @drmichaellevin @StuartHameroff

R. Schwab @IAmDrDex develop a promising anti-oxLDL CAR-Treg therapy for atherosclerosis. CAR-T for cancer utilizes killer T-cells to target cancer cells & effectuate a targeted immune response. This therapy uses Tregs to cool down inflammation in targeted manner ahajournals.org/doi/abs/10.116… @CircAHA @PennMedicine

As the saying goes, one man’s trash is another man’s treasure: the flow-cytometry doublets that are routinely excluded from analysis are in fact a rich source of tumor-reactive T cells. #immunology #science #tumor #immunotherapy nature.com/articles/s4158…

Why understanding biology matters in bioinformatics One big lesson: RNA and protein levels aren’t always correlated. If you don’t know this, you might draw the wrong conclusions. 🧵👇

Protein regulation varies across single cells, cell types, tissues, and organs. The brain proteome is highly sculpted by protein degradation. Why ? This is our model: biorxiv.org/content/10.110…

I’m not sharing this as the CEO of Eternal, but as a fellow human, curious enough to follow a strange thread. A thread I can’t keep with myself any longer. It’s open-source, backed by science, and shared with you as part of our common quest for scientific progress on human longevity. Newton gave us a word for it. Einstein said it bends spacetime. I am saying gravity shortens lifespan.  Read on, and tell me what you think.

Engineered “migrasomes” show promise as a stable, room-temperature vaccine platform, triggering strong immune responses in mice and potentially easing cold-chain challenges. elifesciences.org/articles/97621…

Chemistry writes the story of life. Every cell, every second, it tells it again - powered by molecular design. At the core of this process lies the citric acid cycle, the central hub of metabolism. Here, acetyl-CoA derived from carbohydrates, fats, or proteins enters a precise series of reactions that convert fuel into energy. Each step transfers electrons, drives ATP synthesis, and sustains the continuous renewal of life at the cellular level. What may seem invisible is, in fact, the most constant motion in existence; the quiet rhythm of biochemistry that powers everything we do.