Paul-Georg Majev
@PGREKM
Followers
76
Following
2K
Media
0
Statuses
17
PhD Student at the MPI for Molecular Biomedicine. Msc. of Biology, tweets are my own and reflect my own opinions only @[email protected]
Münster, Germany
Joined February 2019
RT @kishorsivaraj: Very excited to share our work: Mesenchymal stromal cell-derived septoclasts remove chondrocytes and matrix during devel….
0
21
0
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.
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.
0
1
13
Good point🤔.
I present the following paradox: no one believes that GO term enrichment is interesting or useful and yet everyone does it 🤔.
0
0
5
RT @maxplanckphdnet: The Survey WG is looking for new members! All @maxplanckpress #PhD are welcome to join. The 2020 survey is in the beg….
0
4
0
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!.
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.
0
0
4
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 ;-).
0
0
2
This is something to keep in mind.
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.
0
0
1
This IS a treat! And I have something new to try on my data :-D.
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 Loads of new features that were not in the Monocle 3 alpha:.
0
0
5
Nice approach!.
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.
0
0
1