Plasma Cells
Plasma Cells are terminally differentiated B-cells that secrete antibodies.
These specialized immune cells play a crucial role in the humoral immune response, producing vast quantities of antibodies to combat pathogens and foreign invaders.
Plasma Cells develop from memory B-cells and are found in the bone marrow, lymph nodes, and other lymphoid tissues.
Understanding the biology and function of Plasma Cells is essential for research into autoimmune diseases, infectious diseases, and the development of effective vaccines and therapies.
PubCompare.ai's AI-driven platform can help optimize your Plasma Cell research by locating the best protocols from literature, preprints, and patents, providing accurate comparisons and insighfs to improve the reproducibility and accuracy of your experiments.
These specialized immune cells play a crucial role in the humoral immune response, producing vast quantities of antibodies to combat pathogens and foreign invaders.
Plasma Cells develop from memory B-cells and are found in the bone marrow, lymph nodes, and other lymphoid tissues.
Understanding the biology and function of Plasma Cells is essential for research into autoimmune diseases, infectious diseases, and the development of effective vaccines and therapies.
PubCompare.ai's AI-driven platform can help optimize your Plasma Cell research by locating the best protocols from literature, preprints, and patents, providing accurate comparisons and insighfs to improve the reproducibility and accuracy of your experiments.
Most cited protocols related to «Plasma Cells»
Biopsy
BLOOD
Gene Expression
Genes
Healthy Volunteers
Hematopoietic System
Homo sapiens
Leukocytes
Memory B Cells
Microarray Analysis
Natural Killer Cells
Patients
Plasma Cells
Population Group
Prostate
Prostate Cancer
RNA-Seq
T-Lymphocyte
CD8-Positive T-Lymphocytes
Cells
DNA Methylation
Intraepithelial Lymphocytes
Leukocytes
Lymphocyte
Memory B Cells
Memory T Cells
Natural Killer Cells
Neoplasms
Plasma Cells
Response, Immune
T Follicular Helper Cells
Cattle
Cell Culture Techniques
Cells
Centrifugation
Culture Media
Exosomes
Filtration
Freezing
Homo sapiens
Mus
Nylons
Plasma
Plasma Cells
Sucrose
TDO inhibitor LM10
Ultracentrifugation
Amniotic Fluid
Blood Vessel
Chorion
Connective Tissue
Decidua
Diagnosis
Eosin
Fetal Blood
Gestational Age
Infection
Inflammation
Lymphocyte
Lymphoid Tissue
Mothers
Obstetric Delivery
Pathologists
Placenta
Plasma Cells
Tissue, Membrane
Trophoblast
Umbilical Cord
Venous blood samples (10 cc) were collected in EDTA (BD) or CellSave Preservative (Cell Search) tubes. Tubes were processed within 4 h of collection by freezing of a small aliquot (610 µL) of whole blood at −80 °C and centrifuging the remaining whole blood at 1000–1900 × g for 10 min at room temperature. After discarding the red blood cells and buffy coat, plasma was centrifuged a second time at 15,000 × g for 10 min at room temperature in low-bind tubes to remove residual cells from plasma. Supernatants were then frozen at −80 °C until ready for further processing.
Matched tumor biopsies were processed and sequenced through the Broad Institute Genomics Platform’s Research Whole Exome Sequencing deep coverage pipeline (http://genomics.broadinstitute.org/data-sheets/DTS_WES_1Page_5-2016_0.pdf ). For 1× whole-genome sequencing of 22 patient tumor biopsies, 25 ng genomic DNA was subjected to the library construction steps of the Nextera Rapid Capture Exome Kit (Illumina) at half volume but not to hybrid selection. Sequencing to generate 100 bp paired-end reads was performed on the Illumina HiSeq2500 in rapid-run mode.
Matched tumor biopsies were processed and sequenced through the Broad Institute Genomics Platform’s Research Whole Exome Sequencing deep coverage pipeline (
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Biopsy
BLOOD
Cells
DNA Library
Edetic Acid
Erythrocytes
Exome
Freezing
Genome
Hybrids
Neoplasms
Patients
Pharmaceutical Preservatives
Plasma
Plasma Cells
Veins
Most recents protocols related to «Plasma Cells»
Example 1
The Expression of human GPRC5D was evaluated in various malignant and normal tissues by investigating gene expression profiles in databases such as the cancer cell line encyclopedia and BioGPS. As shown in
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Antibody Formation
Cell Lines
Cells
GPRC5D protein, human
Homo sapiens
Immunoglobulins
Intravenous Infusion
Inventors
Malignant Neoplasms
Multiple Myeloma
Patients
physiology
Plasma Cells
T-Lymphocyte
Tissue Microarray Analysis
Tissues
Myeloma cell lines LP-1 was purchased from ATCC (American Type Culture Collection, Manassas, VA, USA), MM.1 S from the National Infrastructure of Cell Line Resource (Beijing, China), CAG from Chinese Academy of Sciences Cell Bank (Shanghai, China), respectively. MM cells were cultured in RPMI-1640 media supplemented with 15% of fetal bovine serum, 100 U/ml of penicillin, 100 mg/ml of streptomycin, and 2 mM L-glutamine (Gibco, Life Technologies, Carlsbad, CA, USA). The HEK 293 T and HEK 293 A cell was cultured in DMEM-high glucose media with 10% fetal bovine serum, 100 U/ml of penicillin, 100 mg/ml of streptomycin, and 2 mM L-glutamine. These cells were all cultured at 37°C in a humidified incubator with 5% CO2 (Gibco, Life Technologies, Carlsbad, CA, USA).
CD138+ plasma cells were isolated using CD138 MicroBeads (Miltenyi Biotec, Bergisch Gladbach, Germany) from newly diagnosed or relapsed patients with multiple myeloma according to the manufacturer’s instructions. Briefly, 3–5 ml of bone marrow biopsies were diluted up to 10 ml with RPMI-1640 media and gently loaded onto the top of 10 ml Ficoll Paque Plus (Sigma-Aldrich, St. Louis, MS, USA) (United States) and centrifuged at 800 × g for 25 min at room temperature with the acceleration at 0. After centrifuge, the PBMCs were carefully aspirated from the Ficoll-plasma interface and transferred into a new 15 ml tube, and washed with PBS at 300 × g for 10 min at room temperature twice. For 2 × 107 total cells, the pallet was resuspended in 80 μl buffer and labeled with 20 μl of CD138 MicroBeads at 4 °C for 15 min. After washed, the cells were resuspended in 500 μl buffer and proceeded for the positive selection of plasma cells from PBMC.
CD138+ plasma cells were isolated using CD138 MicroBeads (Miltenyi Biotec, Bergisch Gladbach, Germany) from newly diagnosed or relapsed patients with multiple myeloma according to the manufacturer’s instructions. Briefly, 3–5 ml of bone marrow biopsies were diluted up to 10 ml with RPMI-1640 media and gently loaded onto the top of 10 ml Ficoll Paque Plus (Sigma-Aldrich, St. Louis, MS, USA) (United States) and centrifuged at 800 × g for 25 min at room temperature with the acceleration at 0. After centrifuge, the PBMCs were carefully aspirated from the Ficoll-plasma interface and transferred into a new 15 ml tube, and washed with PBS at 300 × g for 10 min at room temperature twice. For 2 × 107 total cells, the pallet was resuspended in 80 μl buffer and labeled with 20 μl of CD138 MicroBeads at 4 °C for 15 min. After washed, the cells were resuspended in 500 μl buffer and proceeded for the positive selection of plasma cells from PBMC.
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Acceleration
Biopsy
Bone Marrow
Buffers
Cell Lines
Cells
Chinese
Culture Media
Fetal Bovine Serum
Ficoll
G-800
Glucose
Glutamine
HEK293 Cells
LINE-1 Elements
Microspheres
Multiple Myeloma
Patients
Penicillins
Plasma
Plasma Cells
SDC1 protein, human
Streptomycin
Raw sequencing data (fastq files) were mapped to the human genome (build GRCh38) using CellRanger software (10x Genomics, version 3.0.2). Raw gene expression matrices generated per sample were analyzed with the Seurat package in R (39 (link)). To achieve clean cell clustering results, we divided the cell filtering process into two major steps: primary clustering and fine adjustment. Primary clustering: 5 samples (CAPS_NT, CAPS_TNFi, TRAPS_NT, TRAPS_TNFi, HD) were merged together and cells were filtered by nFeature_RNA (genes detected) > 200 and percent.mt (percentage of mitochondria genes) < 12.5%. High variable genes were selected by FindVariableFeatures and auto-scaled by ScaleData function using default parameters, and a principal component analysis (PCA) was performed for all datasets using the default RunPCA function in the Seurat package. Batch effect correction of each sample was done using the Harmony algorithm (21 (link)) based on PCA space, followed by FindNeighbors and FindClusters function (dims = 30, resolution = 0.5) in the Seurat package for unsupervised clustering. In total 20 clusters were found. As plasma cells were not correctly identified by unsupervised clustering, they were manually annotated. Fine adjustment: scDblFinder package was used to predict potential doublets in the datasets (40 (link)). As neutrophils and platelets naturally have much fewer transcripts than other cell types, and DCs are often misclassified as doublets, we divided all cell types into 3 groups and use different filter criteria for each group. Group1: including Naïve CD4, Naïve CD8, Memory CD4, Memory CD8, Effector CD8, CD16+ NK, CD16- NK, CD14 Mono, Naïve B, and Memory B, these cells were filtered by nFeature_RNA > 1200 and kept only singlets by scDblFinder; Group 2: including Neutrophil and Platelet, these cells were filtered by nFeature_RNA < 800 and kept only singlets by scDblFinder; Group 3, including FCGR3A Mono, DC, and pDC, these cells were filtered only by nFeature_RNA > 1200 regardless of scDblFinder prediction. In addition, 1 RBC cluster, 3 doublet clusters and 1 mitotic cluster were removed as they were not informative. All plasma cells were kept manually. After filtering, we ran the same pipeline as primary clustering mentioned above with slightly changes of several parameter (dims = 20, resolution = 0.4). Final clustering results were shown in Figure 1B .
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3,3'-diindolylmethane
Blood Platelets
Cells
DNA, Mitochondrial
FCGR3A protein, human
Gene Expression
Genes
Genome, Human
Homo sapiens
Memory
Neutrophil
Physiology, Cell
Plasma Cells
The blood samples were collected via antecubital venipuncture during Week 1 and 6 visits. A phlebotomist drew 10 ml of blood from each participant’s arm into a K2 EDTA tube and then 2.5 ml of blood into a PAXgene RNA tube. To separate plasma from red blood cells, the whole blood from the K2 EDTA tubes was centrifuged at the speed of 1500 RPM for 15 min at room temperature (15 °C). Plasma was then aliquoted in cryovials and stored at −80 °C. The frozen plasma samples were transferred and assayed at University of California, Irvine for Aβ42, Aβ40, tTau, and pTau-181. The PAXgene RNA tubes were gently inverted ten times right after sample collection and kept at room temperature for between 2.0 and 70.2 h (mean = 6.95 h) to comply with the PAXgene RNA tube requirement of 2- to 72-h stabilization time. The samples were then temporarily stored in a −20 °C freezer before being stored at −80 °C. They were transported for analysis to the Social Genomics Core Lab at University of California, Los Angeles.
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BLOOD
Edetic Acid
Freezing
Plasma
Plasma Cells
Specimen Collection
Venipuncture
This study was conducted on patients with active IgG4-RD who were treated with immunosuppressants and had elevated serum IgG4 levels at a tertiary referral center in South Korea between January 2011 and December 2020. All patients met the 2011 IgG4-RD diagnostic criteria [7 (link)]: (1) a clinical examination with diffuse/localized swelling or masses in single or multiple organs; (2) an elevated serum IgG4 level; and (3) histopathologic findings of lymphoplasmacytic infiltration and fibrosis, > 40% IgG4-positive plasma cells, and > 10 IgG4-positive plasma cells per high-power field. Patients were also evaluated according to the 2019 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) classification criteria for diagnosis of IgG4-RD [14 (link)]. Patients with pancreatic involvement were classified as definite or probable cases using the International Consensus Diagnostic Criteria (ICDC) for autoimmune pancreatitis [15 (link)]. We excluded patients with other rheumatic diseases, malignancy, or infection. Either glucocorticoid alone or glucocorticoid plus azathioprine were used as an initial regimen for remission and were maintained for at least six months and up to 24 months. To evaluate the factors associated with relapse, we classified patients into relapsed and non-relapsed groups.
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Autoimmune Pancreatitis
Azathioprine
Collagen Diseases
Diagnosis
Europeans
Fibrosis
Glucocorticoids
IgG4
Immunoglobulin G4-Related Disease
Immunosuppressive Agents
Infection
Malignant Neoplasms
Pancreas
Patient Participation
Patients
Physical Examination
Plasma Cells
Rheumatism
Serum
Treatment Protocols
Top products related to «Plasma Cells»
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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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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 QIAamp Circulating Nucleic Acid Kit is a laboratory equipment product designed for the purification of cell-free circulating nucleic acids (e.g., DNA, RNA) from various biofluid samples such as plasma, serum, or urine. The kit utilizes a spin column-based technology to efficiently extract and concentrate the target nucleic acids for further analysis.
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TRIzol reagent is a monophasic solution of phenol, guanidine isothiocyanate, and other proprietary components designed for the isolation of total RNA, DNA, and proteins from a variety of biological samples. The reagent maintains the integrity of the RNA while disrupting cells and dissolving cell components.
Sourced in Germany, United States, Italy
CD138 microbeads are a laboratory product designed for the isolation and enrichment of CD138-positive cells. CD138, also known as Syndecan-1, is a cell surface marker expressed on plasma cells and certain types of tumor cells. The microbeads are coated with antibodies that specifically bind to the CD138 antigen, enabling the selective separation and extraction of CD138-positive cells from complex biological samples.
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Ficoll-Paque PLUS is a sterile, ready-to-use medium for the isolation of mononuclear cells from blood or bone marrow by density gradient centrifugation. It is a polysucrose and sodium diatrizoate solution with a density of 1.077 g/mL.
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RPMI 1640 medium is a commonly used cell culture medium developed at Roswell Park Memorial Institute. It is a balanced salt solution that provides essential nutrients, vitamins, and amino acids to support the growth and maintenance of a variety of cell types in vitro.
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FACSDiva software is a user-friendly flow cytometry analysis and data management platform. It provides intuitive tools for data acquisition, analysis, and reporting. The software enables researchers to efficiently process and interpret flow cytometry data.
Sourced in Germany
CD138-coated magnetic beads are a type of lab equipment used for the isolation and purification of CD138-positive cells from various biological samples. These beads are coated with monoclonal antibodies specific to the CD138 (Syndecan-1) cell surface marker, which is expressed on certain cell types. The magnetic properties of the beads allow for the efficient separation and enrichment of the target cells from the sample mixture using a magnetic field.
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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.
More about "Plasma Cells"
Plasma cells are a specialized type of immune cell that play a crucial role in the humoral immune response.
These terminally differentiated B lymphocytes are responsible for secreting vast quantities of antibodies, which are essential for combating pathogens and foreign invaders.
Plasma cells develop from memory B-cells and are predominantly found in the bone marrow, lymph nodes, and other lymphoid tissues.
Understanding the biology and function of plasma cells is essential for research into autoimmune diseases, infectious diseases, and the development of effective vaccines and therapies.
Researchers can utilize various techniques and tools to study these cells, such as flow cytometry (e.g., FACSCanto II, FACSCalibur) for cell identification and sorting, RNA extraction methods (e.g., TRIzol reagent, QIAamp Circulating Nucleic Acid Kit) for gene expression analysis, and magnetic bead-based cell separation (e.g., CD138 microbeads, CD138-coated magnetic beads) for isolating plasma cells from complex samples.
The accurate and reproducible study of plasma cells can be further enhanced by leveraging AI-driven platforms like PubCompare.ai, which can help researchers locate the best protocols from the literature, preprints, and patents.
By providing accurate comparisons and insights, PubCompare.ai can improve the overall quality and reliability of plasma cell research, ultimately contributing to advancements in the field of immunology and the development of effective therapies and vaccines.
By understanding the key characteristics, functions, and research methodologies associated with plasma cells, scientists can gain valuable insights that can be applied to a wide range of biomedical applications, from understanding the pathogenesis of autoimmune disorders to designing more effective immunotherapies.
These terminally differentiated B lymphocytes are responsible for secreting vast quantities of antibodies, which are essential for combating pathogens and foreign invaders.
Plasma cells develop from memory B-cells and are predominantly found in the bone marrow, lymph nodes, and other lymphoid tissues.
Understanding the biology and function of plasma cells is essential for research into autoimmune diseases, infectious diseases, and the development of effective vaccines and therapies.
Researchers can utilize various techniques and tools to study these cells, such as flow cytometry (e.g., FACSCanto II, FACSCalibur) for cell identification and sorting, RNA extraction methods (e.g., TRIzol reagent, QIAamp Circulating Nucleic Acid Kit) for gene expression analysis, and magnetic bead-based cell separation (e.g., CD138 microbeads, CD138-coated magnetic beads) for isolating plasma cells from complex samples.
The accurate and reproducible study of plasma cells can be further enhanced by leveraging AI-driven platforms like PubCompare.ai, which can help researchers locate the best protocols from the literature, preprints, and patents.
By providing accurate comparisons and insights, PubCompare.ai can improve the overall quality and reliability of plasma cell research, ultimately contributing to advancements in the field of immunology and the development of effective therapies and vaccines.
By understanding the key characteristics, functions, and research methodologies associated with plasma cells, scientists can gain valuable insights that can be applied to a wide range of biomedical applications, from understanding the pathogenesis of autoimmune disorders to designing more effective immunotherapies.