@mitroe

Computational Systems Biomedicine researcher at FIMM Passionate about data-driven biological discovery and finding treatments for diseases

 Finland, Turku
helsinki.fi/en/researchgroups/computational-systems-medicine
Joined April 2010
  • Tweets338
  • Following574
  • Followers261
22Media
Proper cell type annotation of #ST #SpatialTranscriptomics samples brings out even the most sophisticated tissue architectures of any tissue. Check out our latest open-source tools for this, now out in Bioinformatics: doi.org/10.1093/bioinformati…
18
964
🚀 I’m on Bluesky! 🌌 If you’re into single-cell biology, bioinformatics, cancer or drug development, let’s connect! 🔬✨ Follow me here: bsky.app/profile/mitroe.bsky… #Bluesky #ScienceTwitter #SingleCell #Bioinformatics
20
16 funded PhD positions in metastasis research adaptmet.eu/recruitment/
1
82
Mitro Miihkinen retweeted
Oliver Stegle@OliverStegle15 Oct 2024
Job alert! Joint us in Heidelberg to develop and apply computational methods to dissect molecular variation in CRC cancer. #Postdoc #SpatialOmics #MultiOmics #AI Apply here: embl.org/jobs/position/HD027…
Stegle Lab@StatGenomics26 Sep 2024
We are looking for a postdoctoral researcher! Join our translational project aimed at exploring the processes that alter the epigenetic landscape of colorectal cancer cells and drive their metastasis. Become part of our group at @EMBL Apply here: embl.org/jobs/position/HD027…
21
2
43
10,985
Mitro Miihkinen retweeted
Razvan Borza@rborza_28 Oct 2024
🚨 Great alternatives to BioRender are now available!! 📢 @NIAIDNews offers a collection of public figures and icons for everyone to use. Check it out at bioart.niaid.nih.gov
11
622
31
2,126
191,216
Mitro Miihkinen retweeted
Itai Yanai
@ItaiYanai1 Nov 2024
If you think the next big idea in your field will come from inside the field, you're probably wrong.
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01985-6

ALT https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01985-6

58
563
81
2,827
470,927
Mitro Miihkinen retweeted
Oded Rechavi
@OdedRechavi30 Oct 2024
Signing a PDF
9
66
9
797
42,433
Mitro Miihkinen retweeted
FIMM HelsinkiUni@FIMM_UH24 Oct 2024
Join FIMM as a MSCA Doctoral Researcher, to work in the field of multiplexed immunofluorescence profiling of cancer metastases. This fully funded 4-year position in Teijo Pellinen's team is part of the #Mac4Me network. Apply by Nov 22 👇 jobs.helsinki.fi/job/Helsink… #sciencejobs
4
6
877
A fully-funded PhD position around cancer-immune crosstalk and improving immunotherapies with data-driven multi-modal approaches. linkedin.com/pulse/fully-fun…

Fully-funded PhD position

Open PhD position in my group in Oslo for developing multi-modal AI to define macrophage and immune targets for improved anticancer immunotherapy. This is a very exciting multidisciplinary Horizon...

linkedin.com
1
1
3
240
A new study in Science #Immunology highlights how LIPSTIC, a proximity-based labeling method, can identify antigen-presenting #DendriticCells that activate #CD4+ TCells in the tumor and tumor-draining lymph nodes in mice. scim.ag/8pd @ChudnovskiyLab @victora_lab
1
26
108
8,482
Mitro Miihkinen retweeted
Milica Radisic@milicaruoft4 Oct 2024
In case you are looking for an interesting/easy reading this weekend, how about some thoughts on in vitro human cell-based models cell.com/cell/abstract/S0092… @CellPressNews @TheLutolfLab @TakebeLab
5
90
2
525
51,153
Fantastic work from our group: Single-cell profiling of patient tumours can inform effective and safe therapies nature.com/articles/s41467-0…

Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of...

Nature Communications - The identification of treatments that selectively co-inhibit cancerous cell populations remains a challenge. Here, a machine learning approach, scTherapy, leverages...

nature.com
2
83
Mitro Miihkinen retweeted
FIMM HelsinkiUni@FIMM_UH7 Oct 2024
scTherapy, a novel machine learning approach from Tero Aittokallio and colleagues, leverages single-cell transcriptomic profiles to identify multi-targeting treatment options for individual patients with hematological cancers or solid tumors. helsinki.fi/en/hilife-helsin…

Targeting cancer clones: Patient-specific therapies through single-cell transcriptome analysis |...

The identification of treatments that selectively co-inhibit cancer cell populations (clones) remains a challenge. A novel machine learning approach, scTherapy, leverages single-cell transcriptomic...

helsinki.fi
1
3
7
447
👇🔬🧫Exciting story about human breast composition and 3D architecture in @CellReports: cell.com/cell-reports/fullte…👇Led by @oonakaroliina and Markus Peurla (@EPeuhu lab @BioscienceTurku ) with help of @kamyab_saberi and @larissamourao_ @vib_ccb @Onco_KULeuven
Oona Paavolainen@oonakaroliina7 Oct 2024
🚨Publication alert! 🤝@EPeuhu I'm thrilled to announce that this project, the apple of my eye, is out! Here, we unveiled the 3D architecture and shed light on cellular complexity of healthy human breast tissue. I would love to tell you more about it🧵👇 :cell.com/cell-reports/fullte…

Volumetric analysis of the terminal ductal lobular unit architecture and cell phenotypes in the...

Paavolainen, Peurla et al. studied intact terminal ductal lobular unit (TDLU) structures to quantitatively assess the branching morphology of the human breast in three dimensions. The study provides...

cell.com
10
1
45
4,988
Mitro Miihkinen retweeted
Oliver Stegle@OliverStegle15 Aug 2024
Excited about multi-omics in health? We have a fully-funded PhD position on AI for multi-omics analytics as part of HIDDS4Health call 2024. Apply here: hidss4health.de

HIDSS4HEALTH - Helmholtz Information & Data Science Academy

hidss4health.de
1
32
60
10,517
Mitro Miihkinen retweeted
FIMM HelsinkiUni@FIMM_UH9 Aug 2024
Researchers at FIMM have developed an effective computational platform that automatically identifies cell types from #SpatialTranscriptomics data. The method holds great potential for understanding tissue organisation in both health and disease. 💻⬇️ helsinki.fi/en/hilife-helsin…
Doctoral Researcher Kristen Nader sits at her office desk working on her laptop, which is connected to a larger computer screen displaying a detailed scientific data visualization.

ALT Doctoral Researcher Kristen Nader sits at her office desk working on her laptop, which is connected to a larger computer screen displaying a detailed scientific data visualization.

1
2
13
544
The cost of developing a new pharmaceutical is around $1-3 billion. But is it possible to predict the likelihood of its approval? Yes. Extremely nice work on drug repurposing and drug approvals from Ianevski et al. Happy to have contributed. doi.org/10.1093/bib/bbae328
6
214
Mitro Miihkinen retweeted
Hao Yin
@HaoYin2015 Jul 2024
scType Marker-based cell type annotation for #SpatialTranscriptomics Visium Slide-seq Use positive + negative markers (from scTypeDB database with previously scRNAseq-identified cell type markers or custom marker genes), instead of deconvolution. R & Python github.com/kris-nader/sp-typ… or github.com/kris-nader/sc-typ… Mitro Miihkinen lab Bioinformatics 2024 @mitroe academic.oup.com/bioinformat…
39
158
18,713
Mitro Miihkinen retweeted
kzfm@fmkz___14 Jul 2024
ScType enables fast and accurate cell type identification from spatial transcriptomics data academic.oup.com/bioinformat… #bioinformatics #feedly

ScType enables fast and accurate cell type identification from spatial transcriptomics data

AbstractSummary. The limited resolution of spatial transcriptomics (ST) assays in the past has led to the development of cell type annotation methods that

academic.oup.com
1
2
305
#SpatialTranscriptomics measurements have already reached single-cell resolution. Since the first step of analyzing these data is to annotate cell types based on their transcriptomic profiles, we repurposed a pre-existing single-cell tool, #scType for ST analyses.
2
3
245
@github available for Python and R users together with nice manuals for the users.
1
64
Load more