Adaptation through the lens of single-cell multi-omics data

It is useful to analyze correlation graphs

“…We dealt [3] with whole organisms (mice, people, plants) or "super-organismic" objects (stock market or social systems). A. Zinovyev proposed to change the focus to a significantly smaller scale, to a single cell [10]. This is not just an interesting and important question asked by many commentators.…”

“…This is not just an interesting and important question asked by many commentators. The comment [10] proposed to work with single-cell omics. This is a new technology that gives information about genomes, gene expression, and cell heterogeneity for thousands of individual cells from a single organism, simultaneously.…”

“…It is a challenge to biology and medicine to assimilate these datasets. Several specific difficulties of single cell omics data analysis were discussed in the comment [10]. In particular, individual cells are usually destroyed when measured, so we can track the population of cells over time, but the state of an individual cell can only be observed once.…”

“…The developed methods for processing of single cell omics data open the door for detailed analysis of adaptation and stress at the single cell level. A research program of this analysis is drafted in the comment [10] and we will be happy to see the results and participate in this new fascinating intellectual travel.…”

“…Therefore, the special mesoscale approach is needed, that does not rely on the central limit theorem and mass action law but, on the other hand, is not as noisy as the microscopic level is [6]. Despite of that, another comment [10] is focused on the single cell level and discussed the data collections that are produced at that 'microscopic' level by single cell omics as a promising area of applications of the correlation graph approaches and their further development. The comment [8] goes even deeper, to more 'microscopic' and noisy molecular networks.…”