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Erythrocytes

Erythrocytes, also known as red blood cells, are the most abundant type of blood cell in the human body.
These biconcave, disk-shaped cells are responsible for transporting oxygen from the lungs to the body's tissues and carbon dioxide from the tissues back to the lungs.
Erythrocytes contain hemoglobin, an iron-rich protein that gives blood its distinctive red color and allows it to efficiently bind and transport oxygen.
Erythrocytes are produced in the bone marrow through a process called erythropoiesis, which is regulated by the hormone erythropoietin.
Abnormalities in erythrocyte structure, function, or production can lead to various hematological disorders, such as anemia, sickle cell disease, and polycythemia.
Understanding the role and behavior of erythrocytes is crucial for diagnosing and managing these conditions, as well as for advancing research in areas like transfusion medicine and tissue engineering.

Most cited protocols related to «Erythrocytes»

We check the scree plot to choose ten dimension as the intrinsic dimensions to reconstruct the developmental trajectory for the Paul dataset (cells used in Figure 1 of the original study9 (link)). Five branch points and six terminal lineages (monocytes, neutrophils or eosinophil, basophils, dendritic cells, megakaryocytes, and erythrocytes) are revealed. We ordered the cells using genes Paul et al. used to cluster their data rather than the genes from dpFeature, for the sake of consistency with their clusetering analysis. Similarly, we reconstruct Olsson datasets in four dimensions. The major bifurcation between the granulocyte and monocyte branch (GMP) as well as the intricate branch between GMP and megakaryocyte/erythrocyte (Ery/Meg) are revealed. Top 1, 000 genes from dpFeature based on WT cells are used in both of the WT and full datasets. The distribution (related to confusion matrix) of percentages of cells in each cluster from the original papers over each segment (state in Monocle 2) of the principal graph are calculated and visualized in the heatmap.
We applied BEAM analysis to identify genes significantly bifurcating between Ery/Meg and GMP branch on the Olsson wildtype dataset. We then calculate the instant log ratios (ILRs) of gene expression between Ery/Meg and GMP branch and find genes have mean ILR larger than 0.5. The ILRs are defined as:
ILRt=log(Y1tY2t)
So
ILRt is calculated as the log ratio of fitted value at interpolated pseudotime point
t for the Ery/Meg lineage and that for the GMP lineage. Those genes are used to calculate the lineage score (simply calculated as average expression of those genes in each cell, same as stemness score below) for both of the Olsson and the Paul dataset which is used to color the cells in a tree plot transformed from the high dimensional principal graph (see Supplementary Notes). The same genes are used to create the multi-way heatmap for both of the Paul and Olsson dataset (see plot multiple_branches_heatmap function). Critical functional genes from this procedure are identified. Car1, Car2 (important erythroid functional genes for reversible hydration of carbon dioxide) as well as Elane, Prtn3 (important proteases hydrolyze proteins within specialized neutrophil lysosomes as well as proteins of the extracellular matrix) are randomly chosen as example for creating multi-lineage kinetic curves in both of the Olsson and Paul dataset (see plot_multiple_branches_pseudotime function).
In addition, pseudotime dependent genes for the Ery/Meg and GMP branch are identified in the Olsson wildtype dataset. All genes that always have lower expression from both lineages than the average in the progenitor cells are selected. Those genes are used to calculate the stemness score for both of the Olsson and the Paul dataset which is used to color the cells in the tree plot.
Publication 2017
Basophils Carbon dioxide Dendritic Cells Endopeptidases Eosinophil Erythrocytes Extracellular Matrix Proteins Gene Expression Genes Genetic Engineering Granulocyte Kinetics lysosomal proteins Megakaryocytes Monocytes Neutrophil Stem Cells Trees
We check the scree plot to choose ten dimension as the intrinsic dimensions to reconstruct the developmental trajectory for the Paul dataset (cells used in Figure 1 of the original study9 (link)). Five branch points and six terminal lineages (monocytes, neutrophils or eosinophil, basophils, dendritic cells, megakaryocytes, and erythrocytes) are revealed. We ordered the cells using genes Paul et al. used to cluster their data rather than the genes from dpFeature, for the sake of consistency with their clusetering analysis. Similarly, we reconstruct Olsson datasets in four dimensions. The major bifurcation between the granulocyte and monocyte branch (GMP) as well as the intricate branch between GMP and megakaryocyte/erythrocyte (Ery/Meg) are revealed. Top 1, 000 genes from dpFeature based on WT cells are used in both of the WT and full datasets. The distribution (related to confusion matrix) of percentages of cells in each cluster from the original papers over each segment (state in Monocle 2) of the principal graph are calculated and visualized in the heatmap.
We applied BEAM analysis to identify genes significantly bifurcating between Ery/Meg and GMP branch on the Olsson wildtype dataset. We then calculate the instant log ratios (ILRs) of gene expression between Ery/Meg and GMP branch and find genes have mean ILR larger than 0.5. The ILRs are defined as:
ILRt=log(Y1tY2t)
So
ILRt is calculated as the log ratio of fitted value at interpolated pseudotime point
t for the Ery/Meg lineage and that for the GMP lineage. Those genes are used to calculate the lineage score (simply calculated as average expression of those genes in each cell, same as stemness score below) for both of the Olsson and the Paul dataset which is used to color the cells in a tree plot transformed from the high dimensional principal graph (see Supplementary Notes). The same genes are used to create the multi-way heatmap for both of the Paul and Olsson dataset (see plot multiple_branches_heatmap function). Critical functional genes from this procedure are identified. Car1, Car2 (important erythroid functional genes for reversible hydration of carbon dioxide) as well as Elane, Prtn3 (important proteases hydrolyze proteins within specialized neutrophil lysosomes as well as proteins of the extracellular matrix) are randomly chosen as example for creating multi-lineage kinetic curves in both of the Olsson and Paul dataset (see plot_multiple_branches_pseudotime function).
In addition, pseudotime dependent genes for the Ery/Meg and GMP branch are identified in the Olsson wildtype dataset. All genes that always have lower expression from both lineages than the average in the progenitor cells are selected. Those genes are used to calculate the stemness score for both of the Olsson and the Paul dataset which is used to color the cells in the tree plot.
Publication 2017
Basophils Carbon dioxide Dendritic Cells Endopeptidases Eosinophil Erythrocytes Extracellular Matrix Proteins Gene Expression Genes Genetic Engineering Granulocyte Kinetics lysosomal proteins Megakaryocytes Monocytes Neutrophil Stem Cells Trees
Thirty-four neuroblastoma cell lines were grown to subconfluency according to standard culture conditions. RNA was isolated using the RNeasy Midi Kit (Qiagen) according to the manufacturer's instructions. Nine RNA samples from pooled normal human tissues (heart, brain, fetal brain, lung, trachea, kidney, mammary gland, small intestine and uterus) were obtained from Clontech. Blood and fibroblast biopsies were obtained from different normal healthy individuals. Thirteen leukocyte samples were isolated from 5 ml fresh blood using Qiagen's erythrocyte lysis buffer. Fibroblast cells from 20 upper-arm skin biopsies were cultured for a short time (3-4 passages) and harvested at subconfluency as described [22 (link)]. Bone marrow samples were obtained from nine patients with no hematological malignancy. Total RNA of leukocyte, fibroblast and bone marrow samples was extracted using Trizol (Invitrogen), according to the manufacturer's instructions.
Publication 2002
Arm, Upper Biopsy BLOOD Bone Marrow Brain Buffers Cell Lines Erythrocytes Fetus Fibroblasts Heart Hematologic Neoplasms Homo sapiens Intestines, Small Kidney Leukocytes Lung Mammary Gland Neuroblastoma Patients Skin Tissues Trachea trizol Uterus
We transformed the pHEE2A/B/D1/D2/D3/E/F-TRI, pHEN2C-TRI, pHSE2A-TRI, and pHEE2A-CHLI constructs into Agrobacterium strain GV3101, and transformed pHEN2A/B-TRI into GV3101/pSoup [26 (link)]. We transformed Arabidopsis Col-0 wild-type plants via the floral dip method [45 (link)]. We screened the collected seeds from the T0 plants on MS plates containing 25 mg/L hygromycin, and transplanted the resistant seedlings (T1) to soil. We extracted genomic DNA from T1 transgenic plants grown in soil. To analyze mutations of TRY, CPC, and ETC2, we amplified fragments surrounding the target sites of TRY, CPC, or ETC2 by PCR using gene-specific primers TRY-IDF0/R0, CPC-IDF0/R0, or ETC2-IDF0/R0, respectively [26 (link)]. We submitted purified PCR products for direct sequencing with primers TRY/CPC/ETC2-seqF [26 (link)] located within the PCR fragments. To analyze possible mutations of potential off-target sites of TRY, CPC, and AT5G50230 of the sgRNA targeting ETC2, we amplified fragments surrounding the off-target sites by PCR using gene-specific primers TRY-off-IDF/R, CPC-off-IDF2/R, or 5G50230-off-IDF/R, respectively. We submitted purified PCR products for direct sequencing (as opposed to sequencing of individual clones of PCR products) with primers TRY/CPC/5G50230-off-seqF located within the PCR fragments. To analyze mutations of CHLI1 and CHLI2, we amplified fragments surrounding the target sites of CHLI1 or CHLI2 by PCR using gene-specific primers CHLI1-IDF/R or CHLI2-IDF/R, respectively. We submitted purified PCR products for direct sequencing with primers CHLI1/2-seqF located within the PCR fragments. We then cloned poorly sequenced PCR products, and submitted individual positive clones for sequencing using the T7 primer. To screen the segregated non-transgenic T2 plants, we first screened nine primer combinations, with three forward primers including zCas9-IDF3-2/-IDF5/-IDF6 (located at zCas9) and three reverse primers including rbcS_E9t-IDR/-IDR2 (located at rbcS-E9 terminator) and lacp-IDF (located at the lac promoter of the vector backbone), for more specific primers (Additional file 2: Table S3). We obtained three more specific primer pairs, including zCas9-IDF3-2/rbcS_E9t-IDR2, zCas9-IDF5/lacp-IDF, and zCas9-IDF6/lacp-IDF, with wild-type genomic DNA serving as a negative control and genomic DNA from T1 transgenic plants serving as a positive control (Additional file 2: Table S3). We then performed counterselection PCR with the three primer pairs for screening of non-transgenic T2 plants.
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Publication 2015
Agrobacterium Arabidopsis Clone Cells Cloning Vectors DNA Fingerprinting Erythrocytes Genes Genome hygromycin A Mutation Oligonucleotide Primers Plant Embryos Plants Plants, Transgenic Seedlings Strains Vertebral Column
In vivo maps from yeast nucleosome DNAs were prepared from log-phase cells grown in rich medium (YPD, six independent replicates) as described previously5 , as well as from cells grown in YP media supplemented with 2% galactose (three replicates) or 2.8% ethanol (four replicates) instead of glucose. The resulting DNAs were subjected to Illumina sequencing-by-synthesis. For the in vitro map, histone octamer was purified from chicken erythrocytes, assembled on purified yeast genomic DNA by salt gradient dialysis13 , digested with micrococcal nuclease and subjected to Illumina sequencing (two independent replicates). The resulting in vitro map has a lower concentration of nucleosomes along the DNA than obtained in vivo. This technical limitation was necessitated by our finding that reconstitutions at the in vivo stoichiometry on long genomic DNA resulted in insoluble chromatin that was inaccessible to micrococcal nuclease. We mapped the resulting reads to the genome and removed reads that mapped to multiple genomic locations. We extended the nucleosome reads of each experiment to the average nucleosome length in that experiment (always between 140-170 bp). For each map, we then calculated the normalized nucleosome occupancy at every base pair as the log-ratio between the number of reads that cover that base pair and the average number of reads per base pair across the genome. We then set the genomic mean in each sample to zero by subtracting the genome-wide mean from every base pair. The independent replicates for each experiment type were in excellent agreement, so we averaged the replicates within each type. The resulting tracks are termed normalized nucleosome occupancy throughout the manuscript. The detailed formulation of our sequence-based model for nucleosome positioning is given in the Methods and is similar to that described in ref. 17 , except that it was learned using only the in vitro data. For our data, results and model, see http://genie.weizmann.ac.il/pubs/nucleosomes08/, and GEO accession number GSE13622.
Publication 2008
Anabolism Base Pairing Cells Chickens Chromatin Cordocentesis Erythrocytes Ethanol Galactose Genie Genome Glucose Histones Micrococcal Nuclease Microtubule-Associated Proteins Nucleosomes Saccharomyces cerevisiae Salts

Most recents protocols related to «Erythrocytes»

Example 19

Atypical hemolytic uremic syndrome (aHUS) is characterized by hemolytic anemia, thrombocytopenia, and renal failure caused by platelet thrombi in the microcirculation of the kidney and other organs. aHUS is associated with defective complement regulation and can be either sporadic or familial. aHUS is associated with mutations in genes coding for complement activation, including complement factor H, membrane cofactor B and factor I, and well as complement factor H-related 1 (CFHR1) and complement factor H-related 3 (CFHR3). Zipfel, P. F., et al., PloS Genetics 3(3):e41 (2007).

The effect of the exemplary fusion protein construct of this disclosure to treat aHUS is determined by obtaining and lysing red blood cells from aHUS patients treated with the exemplary fusion protein construct. It is observed that treatment with the exemplary fusion protein construct is effective in blocking lysis of red blood cells in the patients suffering from aHUS, compared to treatment with a sham control.

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Patent 2024
Anemia, Hemolytic Atypical Hemolytic Uremic Syndrome Blood Platelets Complement Activation Complement C1 Complement factor H Erythrocytes Fibrinogen Genes Kidney Kidney Failure Microcirculation Mutation Patients Proteins Thrombocytopenia Thrombus Tissue, Membrane
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Example 46

CD-1 mice (n=4 per experimental group; female; 6-7-week-old; 20-24 g, Charles River) were inoculated intravenously with approximately 1×105 P. berghei (ANKA GFP-luc) sporozoites freshly dissected from A. stephensi mosquitoes. Immediately after infection, the mice were treated with single oral doses of Compound; infection was monitored as described for the P. berghei erythrocytic-stage assay. For time-course experiments, the time of compound treatment (single oral dose of 10 mg kg−1) was varied from 5 days before infection to 2 days after infection.

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Patent 2024
Biological Assay Culicidae Erythrocytes Infection Mice, House Rivers Sporozoites Woman

Example 16

Blood samples were taken from mice with CAKI-1 RCC tumors, 44 days after CAR T administration. Briefly, 100 ul of mouse whole blood was collected via submandibular vein. Red blood cell lysis buffer was used to achieve optimal lysis of erythrocytes with minimal effect on lymphocytes. Human CD45 and mouse CD45 were used as a biomarker to separate human and mouse cells by FACS. The blood samples were evaluated by flow cytometry looking for absolute CAR T counts as well as memory T cell subsets. An anti-CD70 CAR anti-idiotype antibody was used to detect CAR T cells and CD45RO+CD27+ to define central memory T cells. See U.S. Patent Application No. 63/069,889, the relevant disclosures of which are incorporated by reference for the subject matter and purpose referenced herein.

The results demonstrate that the addition of the TGFBRII and Regnase-1 gene edit significantly enhanced the population of central memory T cells compared to the edit of either TFGBRII or Regnase-1 alone, which correlates with massive expansion of CAR T cells (FIG. 19A) seen in these animals. And the TGFBRII edit further promoted the potential of CAR T cell proliferation in vivo, suggesting a robust synergistic effect along with the Regnase edit (FIG. 19B).

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Patent 2024
Animals Antibodies, Anti-Idiotypic Biological Markers BLOOD Blood Vessel Tumors Buffers CD45RO Antigens Cells Central Memory T Cells Erythrocytes Flow Cytometry Genes Homo sapiens Lymphocyte Memory Mus Neoplasms Renal Cell Carcinoma T-Lymphocyte T-Lymphocyte Subsets Veins Vision Xenografting

Example 3

The specificity of anti-Amadori-modified hGCD59 mAb D2 and D3 to glycated hCD59 was tested in cell lysates derived from diabetic transgenic mice expressing hCD59 transgene (Tg) in red blood corpuscles (RBCs). Diabetes was induced in the hCD59 transgenic mice by administering one dose of Streptozotein (STZ) and blood glucose was measured after two weeks. A mouse was considered diabetic if its blood sugar level was greater than 200 mg/dL. RBCs were obtained from diabetic transgenic mice (D) and control non-diabetic mice (ND), lysed and proteins were extracted. The protein samples were separated using SDS-PAGE (Sodium Dodecyl sulfate-Polyacrylamide gel electrophoresis) and immunoblotted with anti-Amadori modified hGCD59 antibody (D2) and anti hCD59 antibody (FIG. 2). Consistent with the elevation of glycated CD59 in diabetes, the anti-Amadori modified hGCD59 antibody showed an intense band in the diabetic mice and only a faint band in the control non-diabetic mice. Both the diabetic and control non-diabetic mice showed similar levels of hCD59, demonstrating the specificity of the anti-Amadori modified hGCD59 antibody.

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Patent 2024
Antibodies, Anti-Idiotypic Antibody Specificity Blood Glucose CD59 protein, human Cells Diabetes Mellitus Erythrocytes Mice, Laboratory Mice, Transgenic Proteins SDS-PAGE Syncope Transgenes Western Blotting
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Example 6

Round 3-D inserts (having three micro-channels of 3 mm width by 20 mm length by 10 mm height) were seeded with 10,000 P6 cells human bone marrow-derived mesenchymal stem cells (labeled with cell tracker red) per channel in 200 μl of culture media in a tissue culture dish on a rocking platform. Rocking frequency was 5 rpm and 15° tilt. After one-day culture, another 10,000 cells (labeled with cell tracker green) were added to the same channel and cultured for another day. FIGS. 8A and 8B show cell aggregates with two different colors after 2 days of cell culture.

It should be understood that the examples and embodiments described herein are for illustrative purposes only and that various modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application and the scope of the appended claims. In addition, any elements or limitations of any invention or embodiment thereof disclosed herein can be combined with any and/or all other elements or limitations (individually or in any combination) or any other invention or embodiment thereof disclosed herein, and all such combinations are contemplated with the scope of the invention without limitation thereto.

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Patent 2024
5-chloromethylfluorescein diacetate Bone Marrow Mesenchymal Stem Cells Cell Culture Techniques Cells Culture Media Erythrocytes Figs Homo sapiens Hyperostosis, Diffuse Idiopathic Skeletal Light Medical Devices Tissues

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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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DNase I is a laboratory enzyme that functions to degrade DNA molecules. It catalyzes the hydrolytic cleavage of phosphodiester linkages in the DNA backbone, effectively breaking down DNA strands.
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The FACSCalibur is a flow cytometry system designed for multi-parameter analysis of cells and other particles. It features a blue (488 nm) and a red (635 nm) laser for excitation of fluorescent dyes. The instrument is capable of detecting forward scatter, side scatter, and up to four fluorescent parameters simultaneously.
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The FACSCanto II is a flow cytometer instrument designed for multi-parameter analysis of single cells. It features a solid-state diode laser and up to four fluorescence detectors for simultaneous measurement of multiple cellular parameters.
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The ACK lysis buffer is a solution used to lyse red blood cells. It is a commonly used reagent in various cell and molecular biology applications.
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DNase I is a lab equipment product that serves as an enzyme used for cleaving DNA molecules. It functions by catalyzing the hydrolytic cleavage of phosphodiester bonds in the DNA backbone, effectively breaking down DNA strands.
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FACS lysing solution is a laboratory reagent used to prepare cell samples for flow cytometry analysis. It is designed to lyse red blood cells while preserving the integrity of the remaining cellular components, allowing for more accurate detection and analysis of specific cell populations.
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ACK lysing buffer is a solution used to lyse red blood cells (RBCs) in biological samples, such as whole blood or bone marrow. It selectively lyses RBCs while preserving the integrity of other cell types, allowing for the isolation and analysis of white blood cells or other cell populations of interest.

More about "Erythrocytes"

Erythrocytes, also known as red blood cells (RBCs), are the most abundant type of blood cell in the human body.
These biconcave, disk-shaped cells are responsible for transporting oxygen from the lungs to the body's tissues and carbon dioxide from the tissues back to the lungs.
Erythrocytes contain hemoglobin, an iron-rich protein that gives blood its distinctive red color and allows it to efficiently bind and transport oxygen.
Erythrocytes are produced in the bone marrow through a process called erythropoiesis, which is regulated by the hormone erythropoietin.
Abnormalities in erythrocyte structure, function, or production can lead to various hematological disorders, such as anemia, sickle cell disease, and polycythemia.
Understanding the role and behavior of erythrocytes is crucial for diagnosing and managing these conditions, as well as for advancing research in areas like transfusion medicine and tissue engineering.
Techniques like flow cytometry (using instruments like FACSCalibur and FACSCanto II) and cell culture (with media like RPMI 1640 and buffers like ACK lysis buffer) are commonly used to study erythrocytes.
Synonyms for erythrocytes include red blood cells, RBCs, and erythroid cells.
Related terms include hemoglobin, hematology, and erythropoiesis.
Abbreviations like RBC are also commonly used.
Key subtopics include erythrocyte structure, function, production, and abnormalities, as well as research methods and applications.
By understanding the complexities of erythrocytes and their role in the body, researchers can develop more effective treatments and therapies for a variety of hematological conditions.
The use of FBS, DNase I, and other specialized reagents and equipment can also be valuable in erythrocyte research and analysis.