Publications by authors named "Prabhakar Gudla"

The activities of RNA polymerase and the spliceosome are responsible for the heterogeneity in the abundance and isoform composition of mRNA in human cells. However, the dynamics of these megadalton enzymatic complexes working in concert on endogenous genes have not been described. Here, we establish a quasi-genome-scale platform for observing synthesis and processing kinetics of single nascent RNA molecules in real time.

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  • Deep learning is becoming the preferred method for automatic nucleus segmentation in biological image analysis.
  • Researchers developed a pipeline to evaluate various nuclear segmentation models and training strategies using small, custom annotated datasets with augmentation.
  • Their findings suggest that techniques like transfer learning and careful tuning of training parameters can produce effective models that outperform some existing deep learning models, allowing for collaborative improvements across labs and institutions.
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The inactive X chromosome (Xi) is inherently susceptible to genomic aberrations. Replication stress (RS) has been proposed as an underlying cause, but the mechanisms that protect from Xi instability remain unknown. Here, we show that macroH2A1.

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The RAS proteins are GTP-dependent switches that regulate signaling pathways and are frequently mutated in cancer. RAS proteins concentrate in the plasma membrane via lipid-tethers and hypervariable region side-chain interactions in distinct nano-domains. However, little is known about RAS membrane dynamics and the details of RAS activation of downstream signaling.

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Genes are transcribed in a discontinuous pattern referred to as RNA bursting, but the mechanisms regulating this process are unclear. Although many physiological signals, including glucocorticoid hormones, are pulsatile, the effects of transient stimulation on bursting are unknown. Here we characterize RNA synthesis from single-copy glucocorticoid receptor (GR)-regulated transcription sites (TSs) under pulsed (ultradian) and constant hormone stimulation.

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Sex chromosome aneuploidies (SCAs) are common genetic syndromes characterized by the presence of an aberrant number of X and Y chromosomes due to meiotic defects. These conditions impact the structure and function of diverse tissues, but the proximal effects of SCAs on genome organization are unknown. Here, to determine the consequences of SCAs on global genome organization, we have analyzed multiple architectural features of chromosome organization in a comprehensive set of primary cells from SCA patients with various ratios of X and Y chromosomes by use of imaging-based high-throughput chromosome territory mapping (HiCTMap).

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  • The study focuses on developing HiCTMap, a new method for quickly and accurately analyzing the 2D and 3D positions of chromosomes in mammalian cells, addressing the lack of high-throughput tools in this field.
  • HiCTMap utilizes an optimized staining protocol combined with automated image analysis to detect chromosome territories in large populations of cells, confirming the correct number of chromosomes in different genotypes.
  • This technique allows for precise measurement of chromosome territory area, volume, and position, and is compatible with RNA FISH methods, making it valuable for mapping chromosome territories across various cell types and tissues.
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  • DNA fluorescence in situ hybridization (FISH) is a technique used to locate specific genes within a cell's nucleus in 3D space, previously requiring manual analysis for each genomic locus.
  • Recent advancements have led to high-throughput FISH methods that use synthetic oligonucleotides and automated microscopy to analyze multiple genomic regions simultaneously.
  • The study introduces two machine learning approaches, including one called SpotLearn, which automates and enhances the accuracy of FISH signal detection, making it easier to visualize hundreds of genomic loci in a single experiment.
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Selective packaging of HIV-1 genomic RNA (gRNA) requires the presence of a -acting RNA element called the 'packaging signal' (Ψ). However, the mechanism by which Ψ promotes selective packaging of the gRNA is not well understood. We used fluorescence correlation spectroscopy and quenching data to monitor the binding of recombinant HIV-1 Gag protein to Cy5-tagged 190-base RNAs.

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  • * When T cells engage with low-potency ligands, the number of these microclusters increases, along with the overall spreading of the cell, which affects their density but not strongly based on ligand potency.
  • * These microclusters maintain a stable number of TCRs and have specific proteins like CD45 excluded, suggesting they are ready for rapid signaling even before a ligand binds, which may explain the quick response in TCR signaling.
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  • Ceramide transfer protein (CERT) is essential for transferring ceramide from the endoplasmic reticulum to the Golgi complex, and its absence in mice results in embryonic death due to cardiac failure.
  • In primary mouse embryonic fibroblasts (MEFs), CERT deficiency leads to a buildup of hexosylceramides rather than increased ceramide, causing cell viability issues and early signs of endoplasmic reticulum (ER) stress.
  • Although the transport of certain proteins remains unaffected, mitochondrial function is impaired in CERT-deficient MEFs, leading to reduced ATP levels, increased oxidative stress, and ultimately, premature cellular aging due to heightened mitophagy.
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Actin fibers (F-actin) control the shape and internal organization of cells, and generate force. It has been long appreciated that these functions are tightly coupled, and in some cases drive cell behavior and cell fate. The distribution and dynamics of F-actin is different in cancer versus normal cells and in response to small molecules, including actin-targeting natural products and anticancer drugs.

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  • Image analysis is essential for extracting quantitative data from biological images and plays a key role in developmental biology research.
  • The segmentation process involves isolating specific objects from 2D images or 3D stacks, followed by measuring and classifying these objects.
  • This chapter highlights three free software tools—ImageJ, MIPAV, and VisSeg—focusing on their use for effective segmentation, with VisSeg being particularly specialized for accurate segmentation of cells and cell nuclei.
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  • Correct segmentation is essential for accurate automated microscopy image analysis, especially in studying gene positioning in breast cancer cell nuclei, where variations often lead to errors despite advanced algorithms.
  • This study introduces a ranked-retrieval method using logistic regression to select accurately segmented nuclei from many candidates by analyzing features like shape and texture.
  • The automated approach proved more effective than human reviewers in classifying segmentation accuracy and maintained reliable gene position measurements, showcasing its potential for enhancing analysis in large datasets.
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  • * Manual analysis is too slow and subjective, so a workflow was developed that uses automatic segmentation and artificial neural networks to select the best nuclei from images containing many more than needed.
  • * The method demonstrated strong accuracy in distinguishing between normal and cancerous breast tissues by analyzing the positioning of the HES5 gene, with results closely matching those from manual analysis.
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  • * To automate this process, a supervised learning framework using artificial neural networks (ANNs) was developed, improving speed and accuracy.
  • * The framework successfully identified over 1400 well-segmented nuclei from breast tissue images, outperforming a previously used classification approach.
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The human T-cell leukemia virus type 1 (HTLV-1) is the cause of adult T-cell leukemia/lymphoma as well as tropical spastic paraparesis/HTLV-1-associated myelopathy. HTLV-1 is transmitted to T cells through the virological synapse and by extracellular viral assemblies. Here, we uncovered an additional mechanism of virus transmission that is regulated by the HTLV-1-encoded p8 protein.

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Genomes are nonrandomly organized within the three-dimensional space of the cell nucleus. Here, we have identified several genes whose nuclear positions are altered in human invasive breast cancer compared with normal breast tissue. The changes in positioning are gene specific and are not a reflection of genomic instability within the cancer tissue.

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Spatial analysis of gene localization using fluorescent in-situ hybridization (FISH) labeling is potentially a new method for early cancer detection. Current methodology relies heavily upon accurate segmentation of cell nuclei and FISH signals in tissue sections. While automatic FISH signal detection is a relatively simpler task, accurate nuclei segmentation is still a manual process which is fairly time consuming and subjective.

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  • * An image analysis framework was created to quantify F-actin organization in response to various drug treatments, effectively capturing the structural patterns and correlating them with biological outcomes.
  • * Preliminary results indicate that certain drugs significantly alter the ratio of cortical F-actin to stress fibers, potentially informing future research on drug mechanisms targeting the cytoskeleton in cancer therapy.
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  • Automatic segmentation of cell nuclei is important for high-throughput applications, particularly in understanding the spatial organization of DNA related to cancer; however, existing methods struggle with inconsistent lighting and overlapping cells.
  • The authors introduce a new algorithm that combines multiscale edge reconstruction and entropy-based thresholding to accurately extract individual nuclei, even from challenging images, allowing it to automatically classify and merge segmented nuclei.
  • The algorithm demonstrated high accuracy in testing, successfully identifying 3,515 nuclei with an accuracy of 99.8% for single nuclei and 95.5% for clustered ones, while also providing boundary detection comparable to manual methods with minimal deviation.
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Chromosomes and genes are nonrandomly arranged within the mammalian cell nucleus. However, the functional significance of nuclear positioning in gene expression is unclear. Here we directly probed the relationship between nuclear positioning and gene activity by comparing the location of the active and inactive copies of a monoallelically expressed gene in single cell nuclei.

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A decision support system in the framework of the geographic information system (GIS) and subsurface flow model, Hydrosub, were used to identify critical areas from simulated spatial distributions of relative nitrogen export. Diagnosis and prescription Expert Systems (ES) are developed and applied to the identification of probable causes of excessive nitrogen export and selection of appropriate Best Management Practices (BMPs). The result is a spatially distributed set of recommended Best Management Practices that are feasible economically and environmentally.

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The goal of this study was to intensively sample a small number of livers from a population of mummichog exposed to PAH-contaminated sediments and evaluate them for lesion pathology, distribution, shape, and volume, and the number of histological sections needed to adequately describe the extent of various lesions. Volumetric data for each lesion type from each step section was derived from digitized section images. The total number of hepatic alterations ranged from 10-125 per fish.

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