Quantifying molecular networks at single-cell level

  • Lähdesmäki, Harri (Principal investigator)
  • Dumitrescu, Alexandru (Project Member)
  • Laajala, Essi (Project Member)
  • Osmala, Maria (Project Member)
  • Intosalmi, Jukka (Project Member)
  • Jokinen, Emmi (Project Member)
  • Somani, Juhi (Project Member)
  • Gadd, Charles (Project Member)
  • Tikhonov, Gleb (Project Member)
  • Iakovlev, Valerii (Project Member)
  • Halla-aho, Viivi (Project Member)
  • Lankinen, Antti (Project Member)
  • Korpela, Dani (Project Member)

Project Details


Single-cell high-throughput sequencing (HTS) is a fascinating experimental technology that can quantify genome, transcriptome and epigenome for individual cells. This technology enables accurate quantification of e.g. extremely small and/or heterogeneous biological samples, such as cancer biopsies, that were beyond the reach of previous technologies. Thus, single-cell HTS is likely to facilitate ground-breaking new results in both molecular biology and biomedicine. Analysis of single-cell HTS data is challenging and sophisticated statistical and computational tools are needed so that reliable biological conclusions can be drawn from the data. We will develop new statistical methods to quantify gene regulatory mechanisms from single-cell data and apply our tools together with our collaborators in exciting single-cell applications in immunology and embryonic stem cell biology.
Effective start/end date01/09/201731/08/2021

Collaborative partners

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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