Biology subjects

Lederer, S.

Publications and source records attributed to Lederer, S..

4 recordsLinked to original sources

bioRxiv2023

Imaging of plant calcium-sensor kinase conformation monitors real time calcium decoding in planta

Changes in cytosolic calcium concentration are among the earliest reactions to a multitude of stress cues. Whereas a plethora of calcium-permeable channels may generate distinct calcium signatures and contribute to response specificities, the mechanisms by which calcium signatures are decoded is poorly understood. Here we develop a genetically encoded, FRET-based reporter that visualizes the conformational change of calcium-dependent protein kinases (CDPKs/CPKs), preceding kinase activation, for calcium-dependent AtCPK21 and calcium-independent AtCPK23. In pollen tubes, naturally displaying a physiological calcium range, CPK21-FRET, but not CPK23-FRET, report activity oscillations with similar features to cytosolic calcium, suggesting an isoform-specific calcium dependency and reversibility of the conformational change. In guard cells CPK21-FRET identifies CPK21 as a decoder of signal-specific calcium signatures in response to ABA and flg22. Based on this data, CDPK-FRET stands as a novel approach for tackling real-time live-cell calcium decoding in a multitude of plant developmental and stress responses.

biochemistry↗

bioRxiv2020

Longitudinal isolation of potent near-germline SARS-CoV-2-neutralizing antibodies from COVID-19 patients

The SARS-CoV-2 pandemic has unprecedented implications for public health, social life, and world economy. Since approved drugs and vaccines are not available, new options for COVID-19 treatment and prevention are highly demanded. To identify SARS-CoV-2 neutralizing antibodies, we analysed the antibody response of 12 COVID-19 patients from 8 to 69 days post diagnosis. By screening 4,313 SARS-CoV-2-reactive B cells, we isolated 255 antibodies from different time points as early as 8 days post diagnosis. Among these, 28 potently neutralized authentic SARS-CoV-2 (IC100 as low as 0.04 g/ml), showing a broad spectrum of V genes and low levels of somatic mutations. Interestingly, potential precursors were identified in naive B cell repertoires from 48 healthy individuals that were sampled before the COVID-19 pandemic. Our results demonstrate that SARS-CoV-2 neutralizing antibodies are readily generated from a diverse pool of precursors, fostering the hope of rapid induction of a protective immune response upon vaccination.

immunology↗

bioRxiv2018

Additive Dose Response Models: Defining Synergy

In synergy studies, one focuses on compound combinations that promise a synergistic or antagonistic effect. With the help of high-throughput techniques, a huge amount of compound combinations can be screened and filtered for suitable candidates for a more detailed analysis. Those promising candidates are chosen based on the deviance between a measured response and an expected non-interactive response. A non-interactive response is based on a principle of no interaction, such as Loewe Additivity [Loewe, 1928] or Bliss Independence [Bliss, 1939]. In Lederer et al. [2018a], an explicit formulation of the hitherto implicitly defined Loewe Additivity has been introduced, the so-called Explicit Mean Equation. In the current study we show that this Explicit Mean Equation outperforms the original implicit formulation of Loewe Additivity and Bliss Independence when measuring synergy in terms of the deviance between measured and expected response. Further, we show that a deviance based computation of synergy outper-forms a parametric approach. We show this on two datasets of compound combinations that are categorized into synergistic, non-interactive and antagonistic [Yadav et al., 2015, Cokol et al., 2011].

pharmacology and toxicology↗

bioRxiv2017

Additive Dose Response Models: Explicit Formulations and the Loewe Additivity Consistency Condition

High-throughput techniques allow for massive screening of drug combinations. To find combinations that exhibit an interaction effect, one filters for promising compound combinations by comparing to a response without interaction. A common principle for no interaction is Loewe Additivity which is based on the assumption that no compound interacts with itself and that doses of both compounds for a given effect are equivalent. For the model to be consistent, the doses of both compounds have to be proportional. We call this restriction the Loewe Additivity Consistency Condition (LACC). We derive explicit and implicit null reference models from the Loewe Additivity principle that are equivalent when the LACC holds. Of these two formulations, the implicit formulation is the known General Isobole Equation [1], whereas the explicit one is the novel contribution. The LACC is violated in a significant number of cases. In this scenario the models make different predictions. We analyze two data sets of drug screening that are non-interactive [2, 3] and show that the LACC is mostly violated and Loewe Additivity not defined. Further, we compare the measurements of the non-interactive cases of both data sets to the theoretical null reference models in terms of bias and mean squared error. We demonstrate that the explicit formulation of the null reference model leads to smaller mean squared errors than the implicit one and is much faster to compute.

pharmacology and toxicology↗