Research Insights

Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.

Partitioning stable and unstable expression level variation in cell populations: A theoretical framework and its application to the T cell receptor

Phenotypic variation in the copy number of gene products expressed by cells or tissues has been the focus of intense investigation To what extent the observed differences in cellular expression levels are persistent or transient is an intriguing question

Cell signaling model for arterial mechanobiology

Arterial growth and remodeling at the tissue level is driven by mechanobiological processes at cellular and subcellular levels Although it is widely accepted that cells seek to promote tissue homeostasis in response to biochemical and biomechanical cues

A novel single-cell based method for breast cancer prognosis

Breast cancer prognosis is challenging due to the heterogeneity of the disease Various computational methods using bulk RNAseq data have been proposed for breast cancer prognosis However these methods suffer from limited performances or ambiguous biological relevance

Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection

Antiretroviral therapy ART for HIV infection is lifelong Stopping therapy typically leads to the reignition of infection and progressive disease In a major breakthrough recent studies have shown that early initiation of ART can lead to sustained posttreatment control of viremia

Mathematical model and tool to explore shorter multi-drug therapy options for active pulmonary tuberculosis

Standard treatment for active tuberculosis TB requires drug treatment with at least four drugs over six months Shorterduration therapy would mean less need for strict adherence and reduced risk of bacterial resistance

Mathematical modelling reveals cellular dynamics within tumour spheroids

Tumour spheroids are widely used as an in vitro assay for characterising the dynamics and response to treatment of different cancer cell lines Their popularity is largely due to the reproducible manner in which spheroids grow

Mechanobiological model for simulation of injured cartilage degradation via pro-inflammatory cytokines and mechanical stimulus

Posttraumatic osteoarthritis PTOA is associated with cartilage degradation ultimately leading to disability and decrease of quality of life Two key mechanisms have been suggested to occur in PTOA tissue inflammation

Stochastic ordering of complexoform protein assembly by genetic circuits

Topdown proteomics has enabled the elucidation of heterogeneous protein complexes with different cofactors posttranslational modifications and protein membership This heterogeneity is believed to play a previously unknown role in cellular processes

Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model

We present the software platform CALM that allows for a comparative analysis of D localisation microscopy data representing protein distributions in two biological samples The indepth statistical analysis reveals differences between samples at the nanoscopic level

Early transmission of sensitive strain slows down emergence of drug resistance in Plasmodium vivax

The spread of drug resistance of Plasmodium falciparum and Plasmodium vivax parasites is a challenge towards malaria elimination P falciparum has shown an early and severe drug resistance in comparison to P vivax in various countries