Nucleic-acid-containing structures were downloaded from the Protein Data Bank (PDB) (19 (link)) and updated weekly. Each release of DSSR was checked against all these structures, with the current version 1.2.8 validated on the PDB release as of June 12, 2015. Searches for motifs were performed on release 1.89 (December 5, 2014) of the non-redundant RNA crystal structures at 3.0-Å or better resolution (NR3A-dataset) curated by Leontis and Zirbel (20 ). The 3D images were created using PyMOL version 1.7.4.0 (http://pymol.org ; the PyMOL Molecular Graphics System, Schrödinger, LLC), the 2D diagrams using VARNA (21 (link)) version 3.9, and the annotations using Inkscape version 0.48 (https://inkscape.org ). The base rectangular block representation follows the style of Calladine et al. (22 ), with purines having dimensions of 4.5 Å (width, groove edges) by 4.5 Å (depth, side edges) by 0.5 Å (height) and pyrimidines of 3.0 Å × 4.5 Å × 0.5 Å, as in 3DNA (6 (link),7 (link)). Blocks of these sizes approximately encompass all atoms of the bases, including the exocyclic atoms.
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Anatomy
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Cell Component
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Cell Nucleus Structures
Cell Nucleus Structures
The cell nucleus is a highly organized structure that houses the genetic material and regulates key cellular processes.
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Most cited protocols related to «Cell Nucleus Structures»
Acids
Cardiac Arrest
Cell Nucleus Structures
purine
Pyrimidines
NPDock is implemented as a computational workflow that consists of the GRAMM program, which is a third-party method (19 (link)), and a set of tools developed mainly in our laboratory, including the DARS-RNP and QUASI-RNP statistical potentials for scoring protein–RNA complexes with coarse-grained representation (15 (link)), a counterpart of QUASI-RNP for scoring protein–DNA complexes (QUASI-DNP), and tools for clustering, selection and refinement of models (Figure 1 ). For protein–DNA docking, we combined our in-house statistical potential with the DFIRE potential (20 (link)) and with a potential developed by the Varani group (21 (link)).
First, the GRAMM program is used to perform a rigid body global search and generate geometrically plausible protein–nucleic acid complex structures (decoys). Further analysis of decoys can be limited to those models that satisfy user-defined restraints; e.g., distance restraints between any set of residues defined by user. The decoys are scored and ranked using statistical potentials, developed for protein–RNA or protein–DNA complexes, respectively (see above). The best-scored decoys are then clustered using a procedure reported previously (22 (link)) and representatives of the three largest clusters are selected. Finally, a Monte Carlo Simulated Annealing (23 (link)) procedure (with protein and nucleic acid molecules treated as rigid bodies) is used to optimize the protein–nucleic acid interactions in these three cluster representatives, and the resulting structures of complexes are presented to the user.
First, the GRAMM program is used to perform a rigid body global search and generate geometrically plausible protein–nucleic acid complex structures (decoys). Further analysis of decoys can be limited to those models that satisfy user-defined restraints; e.g., distance restraints between any set of residues defined by user. The decoys are scored and ranked using statistical potentials, developed for protein–RNA or protein–DNA complexes, respectively (see above). The best-scored decoys are then clustered using a procedure reported previously (22 (link)) and representatives of the three largest clusters are selected. Finally, a Monte Carlo Simulated Annealing (23 (link)) procedure (with protein and nucleic acid molecules treated as rigid bodies) is used to optimize the protein–nucleic acid interactions in these three cluster representatives, and the resulting structures of complexes are presented to the user.
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Acids
Cell Nucleus Structures
HSP40 Heat-Shock Proteins
Human Body
Keratosis Follicularis
Muscle Rigidity
Nucleic Acids
Proteins
CD analysis of nucleic acid structures was performed as described35 (link), EMSAs were performed as recommended36 (link),37 (link), and DMS protection assays followed a previously described protocol26 (link),36 (link). The RNase protection assays were performed following Ambion’s recommendations. Plasmids were constructed in a pCR8 TOPO vector (Invitrogen), and GGGGCC HRE inserts were generated using a self-templating PCR protocol38 (link). in vitro transcription reactions were performed with these plasmids and analyzed on sequencing gels. R-loop assays were adapted from previously described methods39 (link). The cDNA from B lymphocytes or RNA from human tissues with or without the C9orf72 HRE were generated from total RNA following manufacturer’s protocols and relative levels were then measured. NanoString RNA analysis followed standard protocols as previously described20 (link). The RNA pulldown with isotopically labeled HEK293T lysates and biotinylated RNA conjugated to streptavidin beads followed a previously described protocol40 (link), with an additional KCl gradient wash. Quantitative mass spectrometry was performed by employing a three-state SILAC analysis using a filter-aided sample preparation (FASP) method followed by analysis on an LTQ-Orbitrap Elite mass spectrometer30 (link),41 (link). Peptides were identified using the Mascot search algorithm. Western blotting was performed on RNA pulldown fractions according to the manufacturer’s recommendations for each antibody. IF staining of lymphocytes, HEK293T cells, fibroblasts, and iPS motor neurons followed a standard protocol described in detail in Methods. RNA FISH with IF on human motor cortex tissue was performed essentially as previously described20 (link).
Acids
B-Lymphocytes
Biological Assay
Cell Nucleus Structures
Cells
Cloning Vectors
DNA, Complementary
Electrophoretic Mobility Shift Assay
Endoribonucleases
Fibroblasts
Fishes
Gels
Homo sapiens
Immunoglobulins
Lymphocyte
Mass Spectrometry
Motor Cortex
Motor Neurons
Peptides
Plasmids
R-Loop Structures
Streptavidin
Tissues
Transcription, Genetic
trioctyl phosphine oxide
All ≈5 500 nucleic acid crystal structures deposited to the Protein Data Bank (PDB; May 2016; resolution ≤ 3.0 Å) were searched for Mg2+ binding to purine and pyrimidine imine N1/N3/N7 atoms (or Nb atoms as defined in reference (12 (link))). To determine cut-off distances for the identification of Mg2+ bound to imine nitrogens, we relied on a histogram derived from a CSD search (CSD: Cambridge Structural Database, Version 5.37, February 2016) that identified precise Mg2+ to water coordination distances as well as ion exclusion zones (Figure 1 ). Note that the CSD (57 (link)) is a repository for small molecule crystallographic structure that were solved with much better accuracy and, in general, at much higher resolution than those from the PDB. These data parallel those derived from quantum mechanical calculations (58 ), other PDB surveys (23 ,59 (link)) and first principles molecular dynamics simulations of Mg2+ in aqueous solution (60 –62 ) that all suggest that: (i) the Mg2+…OH2 coordination distance is slightly below 2.1 Å; (ii) no water oxygens are found within a d(Mg2+…Ow) ≈2.2–3.8 Å ‘exclusion zone’; (iii) the second coordination shell starts at a 3.8 Å distance from Mg2+ and peaks at 4.2 Å. However, since we mostly deal with medium to low-resolution crystallographic structures (3.0 Å ≥ resolution ≥ 2.0 Å), we used more relaxed criteria to identify solvent species around imine nitrogens. Further, we need to consider that, although the most appropriate Mg2+…O coordination distance is in the 2.06–2.08 Å range, the default value in the libraries used by the PHENIX (63 ) and REFMAC (64 ) refinement programs for d(Mg2+…Ow) is 2.18 Å. In some instances, this overestimated coordination distance induces serious stereochemical approximations (see below). Bearing in mind that we focus on Mg2+ to nitrogen distances, we have also to consider that some authors estimate that the Mg2+…N distance is slightly longer (≈2.2 Å) than the Mg2+…O distance in agreement with quantum mechanical calculations and PDB/CSD surveys (12 (link),21 25 ). Thus, to a first approximation, our procedures place Mg2+ with d(Mg2+…N) ≤ 2.4 Å in the pool of possible direct binders, while those with distances in the 2.4–3.8 Å exclusion zone were inspected for misidentification.
Since CSD surveys established that divalent ions directly interacting with a purine or imidazole nitrogen lone pair are located in the C–N=C plane (25 ,65 ), we applied a 1.0 Å cut-off on the distance between the ion and the nucleobase plane. This criterion applies to divalent ions and not to the less strongly bound alkali (Na+, K+) and the larger alkali earth ions (Ca2+, Sr2+) that display a greater propensity to lie out-of-plane. The searches included also contacts generated by applying crystallographic symmetry operations.
In the ≤ 3.0 Å resolution range, ions with B-factors ≥ 79 Å2 were excluded from our statistics since such high B-factors do not warrant unequivocal binding site characterizations. Further, we excluded ions with B-factors ≤ 1.0 Å2 that are definitely not reliable for Mg2+ and hint to the presence of a more electron rich atom (see below). Only Mg2+ with occupancy of 1.0 were considered unless otherwise specified. Finally, for all Mg2+ ions close to imine nitrogens that we identified as suspect, the Fo−Fc and 2Fo−Fc electron density maps deposited to the Uppsala Electron Density Server (EDS) were visualized (66 ). When these maps were not available—typically for large ribosomal structures—we calculated them with phenix.maps by using the structure factors retrieved from the PDB (63 ).
Non-redundant Mg2+ binding sites were identified as follows. If two nucleotides from different structures involved in a similar Mg2+ binding event shared the same residue numbers, chain codes, trinucleotide sequences, ribose puckers, backbone dihedral angle sequences (we used the g+, g−, t categorization) and syn/anti conformations, they were considered as similar and the one with the best resolution was marked as non-redundant. In case of matching resolutions, the nucleotide with the lowest B-factor was selected. Likewise, if in the same structure two nucleotides involved in a similar Mg2+ binding event shared the same residue numbers and trinucleotide sequences (with different chain codes) as well as ribose puckers, backbone dihedral angle sequences and syn/anti conformations, they were considered as similar and the one corresponding to the first biological unit was marked as non-redundant. To further limit redundancy in the largest ribosomal structures, we restricted our analysis to a single biological assembly when more than one was present (see Supplementary Material for selection criteria).
Two non-redundant sets were calculated with a 2.4 and a 3.5 Å d(Mg2+…N1/N3/N7) distance cutoff, respectively (Table1 ). Note that it is impossible to completely eliminate redundancy from such a complex structural ensemble without eliminating at the same time relevant data. Here, we provide an upper limit for a truly ‘non-redundant’ set. Redundancy issues are further complicated by some systematic assignment errors such as the nucleotide misidentification identified in the first H. marismortui 50S structures that leads to the characterization of two distinct structural ensembles (Supplementary Table S1 and Figure S1).
Since CSD surveys established that divalent ions directly interacting with a purine or imidazole nitrogen lone pair are located in the C–N=C plane (25 ,65 ), we applied a 1.0 Å cut-off on the distance between the ion and the nucleobase plane. This criterion applies to divalent ions and not to the less strongly bound alkali (Na+, K+) and the larger alkali earth ions (Ca2+, Sr2+) that display a greater propensity to lie out-of-plane. The searches included also contacts generated by applying crystallographic symmetry operations.
In the ≤ 3.0 Å resolution range, ions with B-factors ≥ 79 Å2 were excluded from our statistics since such high B-factors do not warrant unequivocal binding site characterizations. Further, we excluded ions with B-factors ≤ 1.0 Å2 that are definitely not reliable for Mg2+ and hint to the presence of a more electron rich atom (see below). Only Mg2+ with occupancy of 1.0 were considered unless otherwise specified. Finally, for all Mg2+ ions close to imine nitrogens that we identified as suspect, the Fo−Fc and 2Fo−Fc electron density maps deposited to the Uppsala Electron Density Server (EDS) were visualized (66 ). When these maps were not available—typically for large ribosomal structures—we calculated them with phenix.maps by using the structure factors retrieved from the PDB (63 ).
Non-redundant Mg2+ binding sites were identified as follows. If two nucleotides from different structures involved in a similar Mg2+ binding event shared the same residue numbers, chain codes, trinucleotide sequences, ribose puckers, backbone dihedral angle sequences (we used the g+, g−, t categorization) and syn/anti conformations, they were considered as similar and the one with the best resolution was marked as non-redundant. In case of matching resolutions, the nucleotide with the lowest B-factor was selected. Likewise, if in the same structure two nucleotides involved in a similar Mg2+ binding event shared the same residue numbers and trinucleotide sequences (with different chain codes) as well as ribose puckers, backbone dihedral angle sequences and syn/anti conformations, they were considered as similar and the one corresponding to the first biological unit was marked as non-redundant. To further limit redundancy in the largest ribosomal structures, we restricted our analysis to a single biological assembly when more than one was present (see Supplementary Material for selection criteria).
Two non-redundant sets were calculated with a 2.4 and a 3.5 Å d(Mg2+…N1/N3/N7) distance cutoff, respectively (Table
Acids
Alkalies
Binding Sites
Biopharmaceuticals
Cell Nucleus Structures
Complement Factor B
Crystallography
Electrons
imidazole
Imines
Ions
Microtubule-Associated Proteins
Molecular Structure
Nitrogen
Nucleotides
Oxygen
purine
pyrimidine
Ribose
Ribosomes
Solvents
Vertebral Column
ZER-induced cell death in HeLa cancer cells
was quantified using propidium iodide (PI) and acridine-orange (AO) double
staining according to standard procedures and examine under fluorescence microscope
(Lieca attached with Q-Floro Software) [18 , 19 (link)]. Briefly, treatment was carried
out in a 25 mL culture flask (Nunc). HeLa cells were plated at concentration of
1 × 106 cell/mL, and treated with ZER at IC50 concentration. Flasks were incubated in atmosphere of 5% CO2 at 37°C for 24, 48, and 72 hours. The cells were then spun down at 1000 rpm for 10 minutes.
Supernatant was discarded and the cells were washed twice using phosphate
buffer saline (PBS) after centrifuging at 1000 rpm for 10 minutes to remove the
remaining media. Ten microliters of fluorescent dyes containing acridine orange
(AO, 10 μg/mL) and propidium iodide (PI, 10 μg/mL) were added into the cellular pellet at equal
volumes of each. Freshly stained cell suspension was dropped into a glass slide
and covered by coverslip. Slides were observed under UV-fluorescence microscope
within 30 minutes before the fluorescence color starts to fade. The percentages
of viable, apoptotic, and necrotic cells were determined in more than 200
cells. Acridine orange (AO) and propidium iodide (PI) are intercalating nucleic
acid specific fluorochromes which emit green and orange fluorescences,
respectively, when they are bound to DNA. Of the two, only AO can cross the
plasma membrane of viable and early apoptotic cells. Viewed by fluorescence
microscopy, viable cells appear to have green nucleus with intact structure
while apoptotic cells exhibit a bright-green nucleus showing condensation of
chromatin as dense green areas. Late apoptotic cells and necrotic cells will
stain with both AO and PI. Comparatively, PI produces the highest intensity
emission. Hence, late apoptotic cells exhibited an orange nucleus showing
condensation of chromatin whilst necrotic cells display an orange nucleus with
intact structure. This assay provides a useful quantitative evaluation and was
done three times (n = 3).
was quantified using propidium iodide (PI) and acridine-orange (AO) double
staining according to standard procedures and examine under fluorescence microscope
(Lieca attached with Q-Floro Software) [18 , 19 (link)]. Briefly, treatment was carried
out in a 25 mL culture flask (Nunc). HeLa cells were plated at concentration of
1 × 106 cell/mL, and treated with ZER at IC50 concentration. Flasks were incubated in atmosphere of 5% CO2 at 37°C for 24, 48, and 72 hours. The cells were then spun down at 1000 rpm for 10 minutes.
Supernatant was discarded and the cells were washed twice using phosphate
buffer saline (PBS) after centrifuging at 1000 rpm for 10 minutes to remove the
remaining media. Ten microliters of fluorescent dyes containing acridine orange
(AO, 10 μg/mL) and propidium iodide (PI, 10 μg/mL) were added into the cellular pellet at equal
volumes of each. Freshly stained cell suspension was dropped into a glass slide
and covered by coverslip. Slides were observed under UV-fluorescence microscope
within 30 minutes before the fluorescence color starts to fade. The percentages
of viable, apoptotic, and necrotic cells were determined in more than 200
cells. Acridine orange (AO) and propidium iodide (PI) are intercalating nucleic
acid specific fluorochromes which emit green and orange fluorescences,
respectively, when they are bound to DNA. Of the two, only AO can cross the
plasma membrane of viable and early apoptotic cells. Viewed by fluorescence
microscopy, viable cells appear to have green nucleus with intact structure
while apoptotic cells exhibit a bright-green nucleus showing condensation of
chromatin as dense green areas. Late apoptotic cells and necrotic cells will
stain with both AO and PI. Comparatively, PI produces the highest intensity
emission. Hence, late apoptotic cells exhibited an orange nucleus showing
condensation of chromatin whilst necrotic cells display an orange nucleus with
intact structure. This assay provides a useful quantitative evaluation and was
done three times (n = 3).
Acridine Orange
Apoptosis
Atmosphere
Biological Assay
Cell Death
Cell Nucleus
Cell Nucleus Structures
Cells
Chromatin
Enzyme Multiplied Immunoassay Technique
Fluorescence
Fluorescent Dyes
HeLa Cells
Malignant Neoplasms
Microscopy, Fluorescence
Necrosis
Propidium Iodide
Saline Solution
Tissue, Membrane
Most recents protocols related to «Cell Nucleus Structures»
The differentiated myoblasts were stained for MyHC with the primary polyclonal antibody MyHC (rabbit anti-mouse antibody, sc-20641, 1:150, Santa Cruz) and the appropriate TRITC or FITC-labeled secondary antibody (Jackson Lab, 1:500, USA). C2C12 myoblasts with only 1–2 nuclei within a cellular structure were evaluated by MyHC staining, indicating that MyHC + cells were defined as differentiated cells without mutual fusion to myotubes. Myoblasts with 3 or more nuclei in the structure of a cell were defined as myotubes. The nuclei were stained with DAPI.
To analyze myotube size, we divided the cells into 2 groups, including short myotubes with 3 ~ 5 myoblast fusions and long myotubes with more than 5 myoblast fusions. Morphology was assessed by myotube length, area (grouped less than 200 μm and more than 200 μm), and the number of myotubes (grouped 3 ~ 5 nuclei or more than 5 myoblast fusion nuclei) under high-power magnification [15 (link), 16 (link)]. To describe the traits of myotubes with more than 5 myoblast fusions, the myotube length and size were assessed by an alteration index as defined by the actual length of the control group divided by the actual length of the treatment group [15 (link), 16 (link)]. Three independent experiments were carried out, three repetitions each time, and five fields of vision were randomly selected for each repetition. Two individuals who were blinded to the results evaluated the images using ImageJ (Java) software (National Institutes of Health, USA).
To analyze myotube size, we divided the cells into 2 groups, including short myotubes with 3 ~ 5 myoblast fusions and long myotubes with more than 5 myoblast fusions. Morphology was assessed by myotube length, area (grouped less than 200 μm and more than 200 μm), and the number of myotubes (grouped 3 ~ 5 nuclei or more than 5 myoblast fusion nuclei) under high-power magnification [15 (link), 16 (link)]. To describe the traits of myotubes with more than 5 myoblast fusions, the myotube length and size were assessed by an alteration index as defined by the actual length of the control group divided by the actual length of the treatment group [15 (link), 16 (link)]. Three independent experiments were carried out, three repetitions each time, and five fields of vision were randomly selected for each repetition. Two individuals who were blinded to the results evaluated the images using ImageJ (Java) software (National Institutes of Health, USA).
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Antibodies, Anti-Idiotypic
Cell Nucleus
Cell Nucleus Structures
Cellular Structures
DAPI
Fluorescein-5-isothiocyanate
Immunoglobulins
Mus
Myoblasts
Rabbits
Skeletal Myocytes
tetramethylrhodamine isothiocyanate
After myoblasts were treated with differentiation medium (DM) containing HG-DMEM supplemented with 2% horse serum (HS, Sigma, USA) for the indicated time, the differentiated myoblasts were stained for MyoG or MEF2C using the primary polyclonal antibody MyoG (sc-12732, 1:150, Santa Cruz) or MEF2C (5030S, 1:400, CST) and the appropriate TRITC-labeled secondary antibody (Jackson Lab, 1:500, USA). The nuclei were stained with DAPI. C2C12 myoblasts with only 1–2 nuclei within a cellular structure were evaluated with MyoG or MEF2C staining. MyoG + or MEF2C + cells were defined as differentiated cells that did not fuse to form myotubes. Myoblasts with 3 or more nuclei in the structure of a cell were defined as myotubes. The number of double-positive nuclei in a high-power field (HPF, 50 μm) was analyzed after double staining with MyoG/DAPI or MEF2C/DAPI. Two individuals who were blinded to the results evaluated the images using ImageJ (Java) software (National Institutes of Health, USA).
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Cell Nucleus
Cell Nucleus Structures
Cells
Cellular Structures
DAPI
Equus caballus
Immunoglobulins
Myoblasts
Serum
Skeletal Myocytes
tetramethylrhodamine isothiocyanate
Cells with different treatments were fixed with 4% paraformaldehyde for 15 min and washed with PBS three times. After being closed with 10% goat serum, cells were incubated with primary antibody against NRF2 (PROTEINTECH NORTH AMERICA, Chicago, IL, USA), γ-H2AX Ser139 (Abcam, UK), or Cytochrome c (PROTEINTECH NORTH AMERICA, Chicago, IL, USA) overnight. Then, cells were incubated with secondary antibodies with fluorescent labeling (CoraLite488-conjugated Goat Anti-Rabbit IgG, 1:200; Cy3–conjugated Affinipure Goat Anti-Rabbit IgG, 1:100) for 1 h. Finally, using DAPI (Beyotime Biotechnology, Shanghai, China) cell nuclei were labeled before observation. Then, the number of points per cell nuclear region was quantified by Image-Pro Plus.
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anti-IgG
Antibodies
Cell Nucleus
Cell Nucleus Structures
Cells
Cytochromes c
DAPI
Goat
Immunoglobulins
NFE2L2 protein, human
paraform
Rabbits
Serum
Somatostatin-Secreting Cells
The core promoter sequences of miR-23a (chr 2: 65307449-65307818) and NORHA (chr 7: 100139559-100139710) in Duroc pig were downloaded from the GenBank database (https://www.ncbi.nlm.nih.gov/ (accessed on 12 May 2022)). The binding sites of transcription factors in the promoter were predicted by JASPAR (http://jaspar.genereg.net/ (accessed on 15 May 2022)), relative sore > 85%). Guanine (G)-rich four-stranded helical nucleic acid structures (G-quadruplexes) were predicted using an online tool (https://pqsfinder.fi.muni.cz/ (accessed on 23 May 2022)). The expression data of transcription factors were downloaded from NCBI database (https://www.ncbi.nlm.nih.gov/gds/?term=GSE77776 (accessed on 18 May 2022)) and Iswine database (http://iswine.iomics.pro/pig-iqgs/iqgs/index (accessed on 18 May 2022)).
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Acids
Binding Sites
Cell Nucleus Structures
G-Quadruplexes
Guanine
Helix (Snails)
Transcription Factor
Sperm chromatin condensation and decondensation were evaluated according to the procedure by Molina et al. [41 (link)]. In brief, an aliquot of the semen sample is added to two test tubes containing 1ml Tris buffer to achieve a concentration of ±5 × 106 spermatozoa per ml. After washing and centrifugation, one test tube was treated with the DNA-intercalating dye propidium iodide (Sigma-Aldrich, Belgium, PI, 50 µg/mL) followed by flow cytometric evaluation of the PI fluorescence intensity on a cell-per-cell basis. This was carried out on a Facscan (BD Biosciences, Erembodegem, Belgium) equipped with standard excitation and emission optics. The resulting PI fluorescence frequency distribution reflects the status of DNA condensation in the measured nuclei. The second test tube was treated with 1% sodium dodecyl sulphate (SDS, Sigma-Aldrich, Belgium) plus 6 mmol/L ethylene diamine tetra acetic acid (EDTA, Sigma-Aldrich, Belgium) decondensing solution in borate buffer (Sigma-Aldrich, Belgium) for 5 min. Following this, the sample was washed and centrifuged before using PI. Approximately 3000–9000 cells for each sample were analysed. The mean channel of fluorescence was used to analyse the accessibility and consequently, the degree of staining of sperm DNA with PI and the following flow cytometry parameters were analysed:
Condensed chromatin—histones replaced by protamines transforming the nucleus into a highly compact structure.
Hypocondensed chromatin—insufficient chromatin condensation or a potential condition of underprotamination rendering the paternal genome susceptible to damage.
Decondensed chromatin—ability of compacted chromatin to decondense in vitro after SDS and EDTA treatment.
Hypercondensed chromatin—resistance to decondensation achieving a state of hyperstability making the paternal genome unavailable for further fertilization.
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Acetic Acid
Borates
Buffers
Cell Nucleus
Cell Nucleus Structures
Cells
Centrifugation
Chromatin
DNA Packaging
Edetic Acid
ethylenediamine
Eye
Fertilization
Flow Cytometry
Fluorescence
Genome
Histones
Plant Embryos
Propidium Iodide
Protamines
Sperm
Sulfate, Sodium Dodecyl
Tetragonopterus
Tromethamine
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FITC-conjugated secondary antibody is a laboratory reagent used to detect and visualize target proteins or molecules in various experimental techniques. It consists of a fluorescein isothiocyanate (FITC) dye molecule conjugated to a secondary antibody that binds to a primary antibody specific to the target of interest. This allows for the fluorescent labeling and detection of the target analyte.
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Hoechst 33342 is a fluorescent dye that binds to DNA. It is commonly used in various applications, such as cell staining and flow cytometry, to identify and analyze cell populations.
More about "Cell Nucleus Structures"
Explore the Intricacies of Cell Nucleus Structures: Unlock Cutting-Edge Protocols and Techniques The cell nucleus is a highly specialized and complex organelle that serves as the control center of eukaryotic cells.
This vital structure houses the genetic material, DNA, and orchestrates key cellular processes such as transcription, translation, and DNA replication.
Unraveling the mysteries of cell nucleus architecture and function is crucial for a deeper understanding of cellular biology and unlocking new avenues for scientific discovery.
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The AX70 microscope, for example, offers high-resolution imaging capabilities, allowing scientists to visualize and analyze the intricate components of the nucleus, such as the nuclear envelope, chromatin, and nuclear bodies.
Complementing these imaging tools, MATLAB 2015 provides a robust computational platform for processing and analyzing the acquired data, enabling researchers to extract quantitative insights from their observations.
Fluorescent dyes, such as DAPI and Hoechst 33342, play a pivotal role in visualizing the cell nucleus and its constituents.
These DNA-binding stains selectively label the genetic material, providing a clear delineation of the nuclear boundaries and enabling the study of chromatin organization and dynamics.
The DP73 digital camera, integrated with these fluorescent microscopy techniques, captures high-quality images that can be further analyzed and compared using advanced software like CytExpert 1.1.
Beyond imaging, researchers can leverage powerful molecular biology tools to investigate the functional aspects of the cell nucleus.
The RNAqueous-Micro kit, for example, facilitates the isolation and purification of RNA from small cell samples, enabling the study of gene expression patterns within the nucleus.
Additionally, the use of FITC-conjugated secondary antibodies allows for the targeted labeling and visualization of specific nuclear proteins, providing insights into their localization and interactions.
By integrating these advanced techniques and tools, researchers can uncover the intricate details of cell nucleus structures, leading to a deeper understanding of cellular processes and paving the way for groundbreaking discoveries.
Explore the wealth of available protocols, preprints, and patents to optimize your cell nucleus research and stay ahead of the curve in this dynamic field of study.
This vital structure houses the genetic material, DNA, and orchestrates key cellular processes such as transcription, translation, and DNA replication.
Unraveling the mysteries of cell nucleus architecture and function is crucial for a deeper understanding of cellular biology and unlocking new avenues for scientific discovery.
Leveraging the power of advanced microscopy techniques, researchers can delve into the intricate details of cell nucleus structures.
The AX70 microscope, for example, offers high-resolution imaging capabilities, allowing scientists to visualize and analyze the intricate components of the nucleus, such as the nuclear envelope, chromatin, and nuclear bodies.
Complementing these imaging tools, MATLAB 2015 provides a robust computational platform for processing and analyzing the acquired data, enabling researchers to extract quantitative insights from their observations.
Fluorescent dyes, such as DAPI and Hoechst 33342, play a pivotal role in visualizing the cell nucleus and its constituents.
These DNA-binding stains selectively label the genetic material, providing a clear delineation of the nuclear boundaries and enabling the study of chromatin organization and dynamics.
The DP73 digital camera, integrated with these fluorescent microscopy techniques, captures high-quality images that can be further analyzed and compared using advanced software like CytExpert 1.1.
Beyond imaging, researchers can leverage powerful molecular biology tools to investigate the functional aspects of the cell nucleus.
The RNAqueous-Micro kit, for example, facilitates the isolation and purification of RNA from small cell samples, enabling the study of gene expression patterns within the nucleus.
Additionally, the use of FITC-conjugated secondary antibodies allows for the targeted labeling and visualization of specific nuclear proteins, providing insights into their localization and interactions.
By integrating these advanced techniques and tools, researchers can uncover the intricate details of cell nucleus structures, leading to a deeper understanding of cellular processes and paving the way for groundbreaking discoveries.
Explore the wealth of available protocols, preprints, and patents to optimize your cell nucleus research and stay ahead of the curve in this dynamic field of study.