David

Biochemistry & Biomedical Sciences PhD student at #WVU. MSc Biology. #UN. Bassist. #Proteomics #Transcriptomics

[David @Pictus_Lycaon]

Thrilled to share my PhD work 🚀: “unlocking” the 20S proteasome (α3ΔN) in C. elegans speeds IDP/misfolded-protein clearance, lowers oxidative damage, and extends lifespan/stress resilience, supporting a 20S-centric proteostasis pathway https://t.co/8SpzJASKPq

[David @Pictus_Lycaon]

@YiChenNeumann @biorxiv @JswLab @labs_mann @Lougrauvogel @KatieEYost @EdwinNNeumann @WesleySuen @BenGewurz @elledge_stephen Hi Yichen, fascinating work! I’m studying C-terminal motifs in viral proteins and would like to cross-l reference them with your ORFeome screens. I couldn’t find the ORF dataset or effect data from Datasets S1–S3 in bioarxiv. Would you be willing to share them? Thank you!

[David @Pictus_Lycaon]

New PhD paper! mapping TRiC/CCT interactors in mouse photoreceptors showed chaperone failure is more than a proteostasis defect and it drives an energy crisis. Misfolded clients can sequester TRiC, creating a feed-forward path to degeneration.

https://t.co/Xw6l9m8j6N

[Asimov Press @AsimovPress]

New essay: A Brief History of Bioinformatics Software

Although the word "bioinformatics" wasn't coined until 1970, the first computer program to analyze protein sequences, named COMPROTEIN, was published in 1962.

From our forthcoming book, "Making the Modern Laboratory."

[David @Pictus_Lycaon]

Que crack !!

[CONMEBOL Sudamericana @Sudamericana]

👏👏 ¡Qué golazo, Rodrigo Contreras! @MillosFCoficial

[CONMEBOL Sudamericana @Sudamericana]

👏👏 ¡Qué golazo, Rodrigo Contreras! @MillosFCoficial

[ShorterLab @ShorterLab]

Hyperactive 20S proteasome enhances proteostasis and ERAD in C. elegans via degradation of intrinsically disordered proteins | Science Advances https://t.co/Qp9vIeJB8h

[Adam Green @adamlewisgreen]

biologists continue to mistake single-cell technical sampling noise for meaningful cellular heterogeneity. the apparent sparsity of single-cell data is due largely to technical artifacts like transcript capture and sequencing depth--if there are hundreds of thousands of transcripts per cell but you sequence only 5-10k unique molecules, of course you get mostly zeroes in any given cell. pseudo-bulking makes this clear: when you aggregate these noisy single cell samples, the vast majority of the genome shows expression greater than zero

this is because the entire genome is being pervasively (yet stochastically) transcribed across nearly all cell types, including terminally differentiated cells (with a few obvious exceptions, e.g. enucleated red blood cells, spermatozoa, etc). hence you should expect to find at least one copy of nearly every transcript if you sample a single cell deeply enough over time

it is the *relative* or *ranked* differences in expression compared to this low-level baseline that dictate cellular identity and function

yet this pervasive transcription extends to retrotransposons, heterochromatin, and other supposedly "silenced" regions of the genome--all of which are systematically discarded in most standard processing pipelines. stare at the raw .fastq for long enough and this becomes obvious

thus, this pervasive genome-wide transcription has implications not only for how we train virtual cell models on single-cell RNA count data, but for our understanding of cellular biology as a whole: to truly plumb the depths of the cell, we must venture beyond the reference genome into transcriptional terra incognita, where we will encounter eldritch species of non-coding RNAs that may throw into question much of what we know about the biology of the cell

[PNASNews @PNASNews]

Sea spiders at deep-sea methane seeps farm bacteria on their exoskeletons—and feed on them. This newly discovered symbiosis reveals a novel way methane enters the deep-sea food web.

In @Smithsonian: https://t.co/lBoQsPy6CL

In PNAS: https://t.co/RH6kL8rIYZ

[Millonarios FC @MillosFCoficial]

⏱️ 49' ¡GOOOOOOOOOOOOOOOOOOOL AZUUUUUUUUUUUUUUL! ¡GOOOOOOOOOOOOOOL DE MILLONARIOOOOOOOOOOOS! ¡DALEEEEEEEEEEEEEEEEEE RADAAAAAAAAAAAAAAAAAA!

Ⓜ️ 1-2 🇮🇹 |#MFCvONC

[David @Pictus_Lycaon]

@NikkoRocker X2

[vitrupo @vitrupo]

“In five years, doing drug design without AI will be like doing science without maths.”

Max Jaderberg says the next frontier in drug discovery is collaboration with AI agents.

You guide them. They search molecular space and return in hours with what would've taken humans weeks.

[PNASNews @PNASNews]

Baby #fish can drift thousands of miles on ocean currents, but where they go is still a mystery. Dive into the science of #PelagicLarvalDispersal in our latest @PNASNews Feature: https://t.co/g9O2OVtNOk

#MarineEcology #ClimateChange #GulfStream #Hawaii

[David @Pictus_Lycaon]

Me abandono al susurro dorado de las hojas dejando que el frío talle mi aliento en escarcha y guardo en la semilla del invierno la promesa verde de primavera.

[David @Pictus_Lycaon]

Se me clava la imagen de un futuro
que pronuncia un nombre que no escucho,
mientras camino la misma calle
haciendo crujir las preguntas bajo los pies.
Aun así recojo la ceniza
con manos que no tiemblan,
fingiendo que el humo no escribe historias que conozco.

[David @Pictus_Lycaon]

El silencio tuyo pesa más que un invierno sin sol, y mi corazón, como hoja marchita, se inclina bajo su sombra. Sólo queda el eco de un suspiro, indeleble, mientras la tarde se apaga sin rescatar calor.

[Gabriele Corso @GabriCorso]

Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀

[Enséñame de Ciencia @EnsedeCiencia]

Química. 👩‍🔬

[David @Pictus_Lycaon]

@grok @socio_virus @Gormogons

[David @Pictus_Lycaon]

@NikkoRocker Una deshonra , hinestroza es mejor que lucas vazquez