Technology Development Projects (TDPs)

The projects in the list below have been approved by the SciLifeLab board to receive TDP funding. Part of the funding came from the national SciLifeLab infrastructure funding, while most of it was contributed by the Strategic SciLifeLab funding (SFO) received by the four host universities KTH, KI, SU and UU.

Olli Kallioniemi, Director of SciLifeLab, explains the importance for SciLifeLab to support technology development and explore new technologies that could enable breakthrough discoveries to be made in the future

TDPs are one of the strategic initiatives to keep-up of SciLifeLab infrastructure at the cutting-edge, he says. This is a major collaborative effort between the national SciLifeLab organization and the host universities and I want to thank all of those who participated in writing and evaluation of the proposals. We wish good luck to the chosen projects in bringing cutting-edge molecular tools and capabilities to life scientists in Sweden and beyond.

– Olli Kallioniemi, Director, SciLifeLab

Technology Development Projects at SciLifeLab Uppsala 2022-2023

The SciLifeLab committee Uppsala University has decided to identify and support local infrastructures or new technologies (Technology Development Projects, TDP’s) with the potential to be incorporated into national SciLifeLab platforms. The main goal is thus that TDP’s financed by SciLifeLab Uppsala will be able to apply to become national units incorporated into national platforms. The suggested infrastructures/techniques can be already existing or something that the applicants would like to establish and/or develop during the next 2 years (2022 and 2023).

Questions about the call: Contact Scientific Director Staffan Svärd,

Approved Technology Development Projects 2021-2023

  • BeyondFold – Advancing structural biology with deep-learning approaches
    Main applicant: Björn Nystedt
  • AI-enabled virtual screening for chemical probes
    Main applicant: Bengt Persson
  • Analysis of ancient and herbarium plant DNA
    Main applicant: Magnus Lundgren
  • Ultra-pooled SPLAT-seq (upSPLAT-seq) a method for cost-effective, large-scale pooled sequencing library preparation applicable to diverse sample types 
    Main applicant Amanda Raine
  • Targeted long-read sequencing and epigenetic profiling
    Main applicant: Adam Ameur
  • NGS-based telomere analysis
    Main applicant: Pär G. Larsson
  • Unique cross platform plasma proteome capability combining mass spectrometry and affinity proteomics
    Main applicant: Maria Pernemalm
  • A Modular Bioinformatics Pipeline for high throughput metabolomics at the  SciLifeLab Metabolomics Platform
    Main applicant: Hans Stenlund
  • DRP-CODEX: Establishing simultaneous detection of DNA, RNA, and proteins on the CODEX platform     
    Main applicant: Quentin Verron
  • Bringing multiplexed immunofluorescence to clinical practice – a proof of concept study
    Main applicant: Charlotte Stadler
  • A Pipeline for Tissue Clearing and Expansion.
    Main applicant: Rebecca Howard
  • Improved understanding of drug mechanism-of-action by establishing a nation-wide service of morphological profiling
    Main applicant: Marianna Tampere
  • Enabling high-content phenotyping in pooled CRISPR screens by in situ sgRNA readout
    Main applicant: Bernhard Schmierer

Approved Technology Development Projects 2019-2020

  • High-throughput screening in live zebrafish
  • Bifunctional Protein Degrader (BIPOD) – Towards tissue selective PROTAC’s
  • Eukaryotic protein production for biomedical research
  • Mass Spectrometry Imaging in Neuroscience (Neuro-MSI)
  • MF-SIM: Live Cell Super-Resolution 4D-Microscopy
  • High -dimensional secretomic analysis of single cells for systems-level immunomonitoring
  • Production of proteins and glycoproteins in mammalian cells
  • Ultra-sensitive monitoring of tumor DNA in plasma from cancer patients
  • Novel method for identifying the effect of DNA sequence variants on common diseases
  • Multiplexed imaging tools for high-dimensional protein maps of human cells and tissues
  • Spatial Genomics
  • Deep and quantitative phosphoproteomic profiling of biological samples
  • RIF-Seq: RNA isolation free RNA sequencing
  • CRISPR Screening 2.0
  • Improved drug discovery using single-cell resolution target-engagement profiling
  • Artificial Intelligence and Image Analysis for Whole Slide Imaging (AIIA-WSI)

Last updated: 2023-01-18

Content Responsible: Alice Sollazzo(