Paul-Georg Majev

PhD Student at the MPI for Molecular Biomedicine. Msc. of Biology, tweets are my own and reflect my own opinions only

@[email protected]

[Kishor K Sivaraj @kishorsivaraj]

Very excited to share our work: Mesenchymal stromal cell-derived septoclasts remove chondrocytes and matrix during developmental and regenerative bone formations. From @ralfhadams lab, @NatureComms https://t.co/8C7qKPqVsm

[Paul-Georg Majev @PGREKM]

It was a lot of work, fun and a great honor to work with such an amazing group of people on this exciting project!

The yearly survey is one of our best tools as PhD students in driving positive change in the @maxplanckpress overall and I am excited to have been a part of it

[Max Planck PhDnet @maxplanckphdnet]

A big thank you to all PhDs that filled in last year's.
Please keep up the support and continue with our 2021 survey!

But the biggest shout-out goes to our survey group: @PGREKM & @VieiraRenee, @AngelaCarollo89, Hang Liu, David Stutz, Alina Fahrenwaldt and @NikJDrummond

[Paul-Georg Majev @PGREKM]

Good point���

[Joshua G. Schraiber @jgschraiber]

I present the following paradox: no one believes that GO term enrichment is interesting or useful and yet everyone does it 🤔

[CiM-IMPRS GSM 2024 @CiMIMPRS]

The CiM IMPRS graduate school is proud to present our Annual Interdisciplinary conference in an online format this year, due to the ongoing pandemic. The theme for this year will be "Breaking the Frontiers: Modern Perspectives in Life Science". Please RT and help spread the word!

[Max Planck PhDnet @maxplanckphdnet]

The Survey WG is looking for new members! All @maxplanckpress #PhD are welcome to join.

The 2020 survey is in the beginning stages, so you can get in on the: question selection, data analytics, and writing of the report. Please share with people who could be interested.

[Paul-Georg Majev @PGREKM]

@fakechek1 It is good to know, that I am not the only one seeing this :-D Thanks!

[Paul-Georg Majev @PGREKM]

@fakechek1 I am starting to understand how they are classifying cells and how they thereby create a nice distribution, so I will look more into it. Thank you again for your reply and for the detailed benchmarking you provided earlier!

[Paul-Georg Majev @PGREKM]

@fakechek1 Thank you for your reply! I get the bimodal distribution after applying EmptyDrops, but before setting a hard limit. I am then setting the cutoff to get a uniform distribution missing low values. Alevin still includes cells in this range. I am just wondering how valid they are.

[Paul-Georg Majev @PGREKM]

@fakechek1 for STARSolo data (namely an apparently overlapping distribution in the low counts per cell range) but not for Alevin. Which is due to their second round of whitelist determination I imagine. Have you benchmarked this procedure as well somehow? If you do not mind my asking. (3)

[Paul-Georg Majev @PGREKM]

@fakechek1 done by e.g. emptyDroplet. Which of course makes sense as they use different approaches to determine valid barcodes/cells and at different stages in the analysis. What I have seen is that I have a bimodal distribution in the Frequency vs. Gene/Counts per Cell Plots(2)

[Paul-Georg Majev @PGREKM]

Sequencing a large portion of BM cells, finding indications for two new CAR-cell subpopulations, collecting clues about the spatial positioning of cell types in the bone and actually predicting it...did I miss anything? This was a nice read!

[Haas Lab @haas_lab]

Our new #singlecell approach to map the molecular, cellular and spatial architecture of bone marrow niches and whole organs is now online at bioRxiv

Great team effort from Baccin, Al-Sabah, Velten et al and @cnombela, Trumpp, @LarsMSteinmetz and @haas_lab
https://t.co/nwU4zL9ZqN

[Paul-Georg Majev @PGREKM]

I almost missed (shame on me!) this very nice "profiling of mouse bone marrow stromal cells using scRNA-Seq". Definitely worth a read. And thank you for excluding the vasculature ;-)
https://t.co/Gpr1GbIhxr

[Paul-Georg Majev @PGREKM]

This is something to keep in mind

[Lana Garmire 🌶 @GarmireGroup]

To my dearest experimental colleagues: data analysis is not free and instant. It takes many years of training to be specialized as we are, and it takes time to do the analysis, esp. when the multi-dimentional data in #single cells! These are active research areas. #collaboration

[Paul-Georg Majev @PGREKM]

This IS a treat! And I have something new to try on my data :-D

[Cole Trapnell @coletrapnell]

Very excited to announce that Monocle 3 has reached beta stage! Building on the original alpha by @Xiaojie_Qiu, @HPliner has re-implemented Monocle 3 as a new, standalone package, available at https://t.co/EmFvVor8MM. Loads of new features that were not in the Monocle 3 alpha:

[Paul-Georg Majev @PGREKM]

@xavierhervas How about Brückentag?

[Paul-Georg Majev @PGREKM]

Nice approach!

[Evan Macosko @macosko]

With Fei Chen's lab, we introduce Slide-seq, for genome-wide expression profiling in tissue slices at 10-micron resolution. A single scientist can prepare dozens of slides in one day. Developed by two amazing students, @SGRodriques and Bob Stickels. https://t.co/YIyPc47NFG