Ying Zhu

Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics Single-cell transcriptomics (scRNA-seq) has facilitated the characterization of cell state heterogeneity and recapitulation of differentiation trajectories. However, the exclusive use of mRNA measurem...

We’re excited to present this integrative analysis of single-cell proteomics and transcriptomics of the human HSPC hierarchy. Now published in @science.org together with @fabiantheis.bsky.social, @erwinschoof.bsky.social, @porsebo.bsky.social.
www.science.org/doi/10.1126/...
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Single cell proteomic analysis defines discrete neutrophil functional states in human glioblastoma Neutrophils are vital innate immune cells shown to infiltrate glioblastomas, however we currently lack the molecular understanding of their functional states within the tumour niche. Neutrophils are k...

Happy to share our latest preprint doing low cell number (mini-bulk) and single cell #proteomics on tumour associated neutrophils from human glioblastoma where we find multiple functional states that would be invisible to scRNAseq, some showing pro-tumoural states with potential therapeutic value

If it only live for 12-24 hours, how we can call it senescence?

Deep Visual Proteomics maps proteotoxicity in a genetic liver disease - Nature High-resolution spatial proteomics were used to map molecular events during hepatocyte stress in pseudotime across all fibrosis stages, recapitulating known disease progression markers and revealing e...

Our paper is out in Nature today! We use Deep Visual Proteomics (DVP) to dissect α1-antitrypsin deficiency (AATD) in human liver at single-cell resolution.
Let us take a tour through proteotoxic stress in intact human tissue — one hepatocyte at a time.
www.nature.com/articles/s41...

The Diminishing of American Science If US laboratories will have less money to pay staff, conduct research, and collaborate American science will be greatly diminished

theanalyticalscientist.com/business-edu.... Well said.

Learn most of proteomics knowledge from MaxQuant training videos on YouTube

Exciting to share a new low-input proteomics technology for unbiased profiling cell surfaceome. The nanoMAPS miniaturizes bead-based AP-MS inside a single droplet, a key step in extending sensitive proteomics from global to functional measurement. www.biorxiv.org/content/10.1...

Very important study to allow the light cell fixation for single cell proteomics!!! Results are very promising!

Welcome!

Perfect couple of DESI with microPOTS spatial proteomics! Glad to see microPOTS and DDM protocols received more uses

DDM may not the best to make bubbles, but definitely the best to get your peptide off from the tubes

We Are the Analyzers - A Proteomics Anthem by US HUPO. We Are the Analyzers - Proteomics Anthem

We’re thrilled to present "We Are the Analyzers" – an anthem for the proteomics community! A huge shoutout to everyone who brought this incredible song to life. Look what proteomics has already shown us 🎶🧪youtu.be/wzmJDNmsWK8 #Proteomics #USHUPO20YRS

The main idea behind this is to use transcript reference mapping to assign the cell types, and then do proteomics DE analysis to avoid the double dipping. So external single cell databases also take into considerations

After long-time review, #nanoSPLITS is finally published. I am deeply grateful to my colleagues who made this work possible, especially @cajunscience.bsky.social. I am also grateful to the support of our single-cell proteomics community during the peer review on Nature Communication!

thanks for post it!

I have more questions on Figure 4. Seems IonQuant and Maxquant can not give correct estimates of spike-in protein abundance. I am not sure if it is a normalization issue or FDR control issue.

It is a great/beautiful study to push the low input proteomics to clinical space. I do agree the title is misleading, it should name as “single cell type proteomics” or “cell type specific proteomics”

Congratulations @proteomicsnews.bsky.social, can not wait to see more exciting single cell studies from your lab

It gives me great pleasure to announce our next European Single Cell Proteomics Conference www.apma.at/6thescp/
We would be delighted to receive many abstracts from students so that they have the opportunity to give their first presentation.
On behalf of: Erwin, Fabian, Manuel, Fabian and Karl

As I moved my focus to more scientific questions, I prefer to have less identification, better quantification, and more trustworthy data. It is super expensive to validate each proteins for downstream study

Cool

I will try to get him here

Such a tool is in great need. Will dig into this paper! Thanks for sharing