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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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2D NMR: Overview of Homonuclear Correlation Techniques01:16

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Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
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2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

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Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
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High-Resolution Mass Spectrometry (HRMS)01:15

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The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
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¹³C NMR: ¹H–¹³C Decoupling01:04

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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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Significance in scale space for Hi-C data.

Rui Liu1, Zhengwu Zhang1, Hyejung Won2

  • 1Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.

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|March 4, 2025
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Summary

SSSHiC, a novel loop calling algorithm, identifies cell-type-specific chromatin loops crucial for gene regulation. This method enhances understanding of genome-wide chromosome conformation and gene expression patterns.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Hi-C technology enables genome-wide chromosome conformation profiling across diverse cell and tissue types.
  • Chromatin loops are key regulatory elements in gene expression.
  • Existing loop callers primarily identify shared loops, overlooking cell-type-specific interactions.

Purpose of the Study:

  • To introduce SSSHiC, a novel algorithm for identifying chromatin loops with significance in scale space.
  • To detect cell-type-specific chromatin loops using Hi-C data.
  • To improve the characterization of gene regulatory mechanisms.

Main Methods:

  • Development of SSSHiC, a loop calling algorithm utilizing significance in scale space for multi-resolution analysis.
  • Application of SSSHiC to neuronal and glial Hi-C data.
  • Comparative analysis with existing loop callers like Mustache.

Main Results:

  • SSSHiC identified a greater number of potentially cell-type-specific chromatin loops.
  • Detected loops were frequently anchored to gene promoters of cellular marker genes.
  • Loops identified by SSSHiC demonstrated superior APA scores compared to other callers.

Conclusions:

  • SSSHiC effectively captures chromatin loops involved in cell-type-specific gene regulation.
  • The algorithm provides deeper insights into the functional role of chromatin conformation.
  • SSSHiC enhances the analysis of Hi-C data for understanding gene regulation.