Tatyana Pichugina,PhD

Tatyana Pichugina,PhD

Plainsboro, New Jersey, United States
614 followers 500+ connections

About

Machine learning engineer with a solid background in Computer Vision and a proven track…

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Experience

  • Invonto Graphic

    Invonto

    United States

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    Germany

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    Auckland, New Zealand

Education

  • The University of Auckland Graphic

    The University of Auckland

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    The main focus of my PhD was building experimentally informed polymer models to reconstruct 3D structures of Schizosaccharomyces pombe and Escherichia coli genomes (Pichugina et al., 2016; Grand, Pichugina et al., 2014). I used S. pombe genome structures to construct 3D maps of genes, epigenetic marks and replication origins.

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    included 25 Courses, 6 Projects, and 3 Skill Assessments

    - Introduction to Python
    - Intermediate Python
    - Data Manipulation with pandas
    - Joining Data with pandas
    - Introduction to Data Visualization with Matplotlib
    - Introduction to Data Visualization with Seaborn
    - Introduction to NumPy
    - Python Data Science Toolbox (Part 1)
    - Python Data Science Toolbox (Part 2)
    - Intermediate Data Visualization with Seaborn
    - Introduction to Importing Data in Python
    -…

    included 25 Courses, 6 Projects, and 3 Skill Assessments

    - Introduction to Python
    - Intermediate Python
    - Data Manipulation with pandas
    - Joining Data with pandas
    - Introduction to Data Visualization with Matplotlib
    - Introduction to Data Visualization with Seaborn
    - Introduction to NumPy
    - Python Data Science Toolbox (Part 1)
    - Python Data Science Toolbox (Part 2)
    - Intermediate Data Visualization with Seaborn
    - Introduction to Importing Data in Python
    - Intermediate Importing Data in Python
    - Cleaning Data in Python
    - Working with Dates and Times in Python
    - Writing Functions in Python
    - Exploratory Data Analysis in Python
    - Introduction to Statistics in Python
    - Introduction to Regression with statsmodels in Python
    - Sampling in Python
    - Hypothesis Testing in Python
    - Supervised Learning with scikit-learn
    - Unsupervised Learning in Python
    - Machine Learning with Tree-Based Models in Python
    - Cluster Analysis in Python

Licenses & Certifications

Publications

  • A diffusion model for the coordination of DNA replication in Schizosaccharomyces pombe.

    Scientific Reports

    The locations of proteins and epigenetic marks on the chromosomal DNA sequence are believed to demarcate the eukaryotic genome into distinct structural and functional domains that contribute to gene regulation and genome organization. However, how these proteins and epigenetic marks are organized in three dimensions remains unknown. Recent advances in proximity-ligation methodologies and high resolution microscopy have begun to expand our understanding of these spatial relationships. Here we…

    The locations of proteins and epigenetic marks on the chromosomal DNA sequence are believed to demarcate the eukaryotic genome into distinct structural and functional domains that contribute to gene regulation and genome organization. However, how these proteins and epigenetic marks are organized in three dimensions remains unknown. Recent advances in proximity-ligation methodologies and high resolution microscopy have begun to expand our understanding of these spatial relationships. Here we use polymer models to examine the spatial organization of epigenetic marks, euchromatin and heterochromatin, and origins of replication within the Schizosaccharomyces pombe genome. These models incorporate data from microscopy and proximity-ligation experiments that inform on the positions of certain elements and contacts within and between chromosomes. Our results show a striking degree of compartmentalization of epigenetic and genomic features and lead to the proposal of a diffusion based mechanism, centred on the spindle pole body, for the coordination of DNA replication in S. pombe.

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  • NAR's Breakthrough Articles. Chromosome conformation maps in fission yeast reveal cell cycle dependent sub nuclear structure.

    Nucleic Acids Research, 42(20),

    Successful progression through the cell cycle requires spatial and temporal regulation of gene transcript levels and the number, positions and condensation levels of chromosomes. Here we present a high resolution survey of genome interactions in Schizosaccharomyces pombe using synchronized cells to investigate cell cycle dependent changes in genome organization and transcription. Cell cycle dependent interactions were captured between and within S. pombe chromosomes. Known features of genome…

    Successful progression through the cell cycle requires spatial and temporal regulation of gene transcript levels and the number, positions and condensation levels of chromosomes. Here we present a high resolution survey of genome interactions in Schizosaccharomyces pombe using synchronized cells to investigate cell cycle dependent changes in genome organization and transcription. Cell cycle dependent interactions were captured between and within S. pombe chromosomes. Known features of genome organization (e.g. the clustering of telomeres and retrotransposon long terminal repeats (LTRs)) were observed throughout the cell cycle. There were clear correlations between transcript levels and chromosomal interactions between genes, consistent with a role for interactions in transcriptional regulation at specific stages of the cell cycle. In silico reconstructions of the chromosome organization within the S. pombe nuclei were made by polymer modeling. These models suggest that groups of genes with high and low, or differentially regulated transcript levels have preferred positions within the S. pombe nucleus. We conclude that the S. pombe nucleus is spatially divided into functional sub-nuclear domains that correlate with gene activity. The observation that chromosomal interactions are maintained even when chromosomes are fully condensed in M phase implicates genome organization in epigenetic inheritance and bookmarking.

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  • The statistical- mechanics of chromosome conformation capture

    Nucleus

    Since Jacob and Monod’s characterization of the role of DNA elements in gene control, it has been recognized that the linear organization of genome structure is important for the regulation of gene transcription and hence the manifestation of phenotypes. Similarly, it has long been hypothesized that the spatial organization (in three dimensions evolving through time), as part of the epigenome, makes a significant contribution to the genotype-phenotype transition. Proximity ligation assays…

    Since Jacob and Monod’s characterization of the role of DNA elements in gene control, it has been recognized that the linear organization of genome structure is important for the regulation of gene transcription and hence the manifestation of phenotypes. Similarly, it has long been hypothesized that the spatial organization (in three dimensions evolving through time), as part of the epigenome, makes a significant contribution to the genotype-phenotype transition. Proximity ligation assays commonly known as chromosome conformation capture (3C) and 3C based methodologies (e.g., GCC, HiC, and ChIA-Pet) are increasingly being incorporated into empirical studies to investigate the role that three-dimensional genome structure plays in the regulation of phenotype. The apparent simplicity of these methodologies—crosslink chromatin, digest, dilute, ligate, detect interactions—belies the complexity of the data and the considerations that should be taken into account to ensure the generation and accurate interpretation of reliable data. Here we discuss the probabilistic nature of these methodologies and how this contributes to their endogenous limitations.

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  • Effects of spin transitions degeneracy in pulsed EPR of the fullerene C70 triplet state produced by continuous light illumination.

    Molecular and Biomolecular Spectroscopy

    X-band echo-detected electron paramagnetic resonance (ED EPR) spectra of triplet state of fullerene C(70) generated by continuous light illumination were found to correspond below 30K to a non-equilibrium electron spin polarization. Above 30K spectra are characteristic of Boltzmann equilibrium. Spectra were simulated fairly well with zero-field splitting parameters D=153 MHz and E and distributed within the range of 6-42 MHz. The origin of E distribution is attributed to the Jahn-Teller effect,…

    X-band echo-detected electron paramagnetic resonance (ED EPR) spectra of triplet state of fullerene C(70) generated by continuous light illumination were found to correspond below 30K to a non-equilibrium electron spin polarization. Above 30K spectra are characteristic of Boltzmann equilibrium. Spectra were simulated fairly well with zero-field splitting parameters D=153 MHz and E and distributed within the range of 6-42 MHz. The origin of E distribution is attributed to the Jahn-Teller effect, which in glassy matrix is expected to depend on the local surrounding of a fullerene molecule (a so-called E-strain). In the center of ED EPR spectra a narrow hole was observed. With increase of the microwave pulse turning angle this hole transforms into a single narrow absorptive line. Numerical simulations by density matrix formalism confirm that central hole originates from a simultaneous excitation of both allowed electron spin transitions of the triplet (T(0)↔T(+) and T(0)↔T(-)), because of their degeneracy at this spectral position. Also explanations are given why this hole has not been observed in the previously reported experiments on continuous wave EPR and on ED EPR under laser pulse excitation.

    Other authors
    • Leonid Kulik
    See publication

Honors & Awards

  • Ph.D thesis competition

    Auckland University

    Ph.D. thesis was ranked in the top 8 out of 71 completed in 2016 in the Faculty of Medical and Health Sciences

  • The Maurice and Phyllis Paykel Trust travel grant.

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  • Liggins Institute PhD scholarship

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Languages

  • Russian

    Native or bilingual proficiency

  • English

    Full professional proficiency

  • German

    Limited working proficiency

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