Biology subjects

Sastry, A.

Publications and source records attributed to Sastry, A..

4 recordsLinked to original sources

bioRxiv2021

Adult porcine (Sus scrofa) derived inner ear cells possessing multipotent stem/progenitor cell characteristics in in vitro cultures

The human inner ear compared with that of other mammalian species is very complex. Although the mouses cochlea is frequently studied the mouses inner ear continues to develop postnatally whilst the human inner ear is fully developed by the third month of gestation which leads one to question the applicability of findings based on research on mice to human regenerative therapies. Here, we report a novel in vitro culture of adult porcine (Sus scrofa) inner ear cells developed from post-mortem labyrinth specimens. Anatomical findings based on maximal transverse and vertical axial diameters and the length of the cochlear duct suggest that the pigs cochlea is similar to the human cochlea. In vitro cultures of porcine cochlear and vestibular cells showed the persistence of both inner ear hair cell (HC), supporting cell (SC) and stem/progenitor cell characteristics across passages up to 6 based on scanning electron microscopy, fluorescence immunocytochemistry and quantitative reverse transcription polymerase chain reaction (RT-qPCR). Our findings showed that porcine cochlear and vestibular epithelia maintained multipotent stem/progenitor cell populations into adulthood although their regenerative capacities differed across the passages. The development of a viable and reproducible method to culture porcine inner ear cells provides an important investigative tool that can be utilized to study and evaluate the pathophysiological causes and cellular consequences of human inner ear disorders.

cell biology↗

bioRxiv2020

Synthesis of the novel transporter YdhC, is regulated by the YdhB transcription factor controlling adenosine and adenine uptake.

The YdhB transcriptional factor, re-named here AdnB, homologous to the allantoin regulator, AllS, was shown to regulate ydhC gene expression in Escherichia coli, which is divergently transcribed from adnB, and this gene arrangement is conserved in many Protreobacteria. The predicted consensus DNA binding sequence for YdhB is also conserved in Entrobacterial genomes. RNA-seq data confirmed the activation predicted due to the binding of AdnB as shown by Chip-Exo results. Fluorescent polarization experiments revealed binding of YdhB to the predicted binding site upstream of ydhC in the presence of 0.35 mM adenine, but not in its absence. The E. coli MG1655, strain lacking the ydhB gene, showed a lower level of ydhC mRNA in cells grown in M9-glucose supplemented with 2 mM adenosine. Adenosine and adenine are products of purine metabolism and provide sources of ammonium for many organisms. They are utilized under nitrogen starvation conditions as single nitrogen sources. Deletion of either the ydhC or the ydhB gene leads to a substantially decreased growth rate for E. coli in minimal M9 medium with glycerol as the carbon source and adenosine or adenine as the single nitrogen source. The ydhC mutant showed increased resistance to Paromomycine, Sulfathiazole and Sulfamethohazole using Biolog plates. We provide evidence that YdhB, (a novel LysR family regulator) activates expression of the ydhC gene, encoding a novel adenosine/adenine transporter in E. coli. The YdhB binding consensus for different groups of Enterobacteria was predicted.

microbiology↗

bioRxiv2018

The Y-ome defines the thirty-four percent of Escherichia coli genes that lack experimental evidence of function

Experimental studies of Escherichia coli K-12 MG1655 often implicate poorly annotated genes in cellular phenotypes. However, we lack a systematic understanding of these genes. How many are there? What information is available for them? And what features do they share that could explain the gap in our understanding? Efforts to build predictive, whole-cell models of E. coli inevitably face this knowledge gap. We approached these questions systematically by assembling annotations from the knowledge bases EcoCyc, EcoGene, UniProt, RefSeq, and RegulonDB. We identified the genes that lack direct experimental evidence of function (the \"y-ome\") which include 1563 of 4653 unique genes (34%), of which 131 have absolutely no evidence of function. An additional 304 genes (6.6%) are pseudogenes or phantom genes. y-ome genes tend to have lower expression levels and are enriched in the termination region of the E. coli chromosome. Where evidence is available for y-ome genes, it most often points to them being membrane proteins and transporters. We resolve the misconception that a gene in E. coli whose primary name starts with \"y\" is unannotated, and we discuss the value of the y-ome for systematic improvement of E. coli knowledge bases and its extension to other organisms.

systems biology↗

bioRxiv2017

ssbio: A Python Framework for Structural Systems Biology

SummaryWorking with protein structures at the genome-scale has been challenging in a variety of ways. Here, we present ssbio, a Python package that provides a framework to easily work with structural information in the context of genome-scale network reconstructions, which can contain thousands of individual proteins. The ssbio package provides an automated pipeline to construct high quality genome-scale models with protein structures (GEM-PROs), wrappers to popular third-party programs to compute associated protein properties, and methods to visualize and annotate structures directly in Jupyter notebooks, thus lowering the barrier of linking 3D structural data with established systems workflows.\n\nAvailability and Implementationssbio is implemented in Python and available to download under the MIT license at http://github.com/SBRG/ssbio. Documentation and Jupyter notebook tutorials are available at http://ssbio.readthedocs.io/en/latest/. Interactive notebooks can be launched using Binder at https://mybinder.org/v2/gh/SBRG/ssbio/master?filepath=Binder.ipynb.\n\nContactnmih@ucsd.edu\n\nSupplementary InformationSupplementary data are available at Bioinformatics online.

systems biology↗