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Biology subjects

Jonnalagadda, V.

Publications and source records attributed to Jonnalagadda, V..

2 recordsLinked to original sources

Multiomics data collection, visualization, and utilization for guiding metabolic engineering

Biology has changed radically in the past two decades, growing from a purely descriptive science into also a design science. The availability of tools that enable the precise modification of cells, as well as the ability to collect large amounts of multimodal data, open the possibility of sophisticated bioengineering to produce fuels, specialty and commodity chemicals, materials, and other renewable bioproducts. However, despite new tools and exponentially increasing data volumes, synthetic biology cannot yet fulfill its true potential due to our inability to predict the behavior of biological systems. Here, we present a set of tools that, combined, provide the ability to store, visualize and leverage these data to predict the outcome of bioengineering efforts.

synthetic biology↗

Single cell variations in expression of codominant alleles A and B on RBC of AB blood group individuals

One of the key questions in biology is whether all cells of a "cell type" have more or less the same phenotype, especially with relation to non-imprinted autosomal loci. Recent studies point to differential allelic expression of autosomal genes being a prevalent phenomenon responsible to confer phenotypic variability at individual cell level. However, most studies have been carried out in actively transcribing cells. Here we display cellular mosaicism arising from differential allelic expression for the cell surface glycoprotein in the enucleated RBCs. We studied the expression of the A and B histo-blood group antigens encoded by the co-dominant alleles in individual RBCs using immunofluorescence. We assessed the relative levels of the co-dominant alleles IA and IB in 2512 RBC from 24 individuals with AB blood group using Cy3- and FITC- tagged antibodies. Quantification of individual fluorescence intensities from each cell and test of their normal distribution revealed that contrary to the general belief that all RBC in AB individuals express both antigens in comparable amounts, they segregated into 4 groups: showing normal distribution for both antigens, either antigen, and neither antigen; the deviation from normal distribution could not be correlated to maternal/paternal origin, thus appear to be stochastic. Surprisingly, very few people showed any correlation between the amounts of these two antigens on RBC. In fact, the ratio of antigen A to B in the entire set of samples spanned over 5 orders of magnitude. This variability in amount of the antigens A and/or B, combined with a lack of correlation between the amounts of these two antigens resulted in unique staining patterns for RBC, generating widespread mosaicism in the RBC population of AB blood group individuals.

genetics↗