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PBMC Peripheral Blood Mononuclear Cells

Peripheral Blood Mononuclear Cells (PBMCs) are a population of immune cells isolated from whole blood.
They include lymphocytes (T cells, B cells, and NK cells) and monocytes.
PBMCs play a crucial role in the body's immune response and are widely studied in medical research, particularly in areas such as immunology, infectious diseases, and cancer.
This heterogeneous cell population is often used as a model system to investigate immune function and diysfunction.
Researchers rely on PBMC isolation and analysis to understand the complexities of the human immune system and develop new therapies and diagnostics.

Most cited protocols related to «PBMC Peripheral Blood Mononuclear Cells»

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Publication 2019
Cells Chromium Gene Expression Genes Genes, vif Germ Cells Homo sapiens Human Body Mitochondrial Inheritance PBMC Peripheral Blood Mononuclear Cells Single-Cell RNA-Seq XCL1 protein, human
We developed a text-mining-based data parsing workflow and collected tumor scRNA-seq datasets of human from GEO (16 (link)) and ArrayExpress (17 (link)). We searched the single-cell-related keywords such as ‘single cell RNA sequencing’ or ‘scRNAseq’ or ‘single cell’ or ‘single-cell’, as well as the technology-related keywords like ‘microfluidics’, ‘10X Genomics’ and ‘SMARTseq’, and the tumor-related keywords such as ‘tumor’ or ‘cancer’ or ‘carcinoma’ in the description page of GEO or ArrayExpress. Each dataset was then manually confirmed and curated. A total of 118 cancer-related scRNA-seq datasets were obtained initially and were further filtered to keep the datasets with >1000 high-quality cells. To expand the utility of TISCH, we also included the scRNA-seq datasets of mice treated with immunotherapy and three scRNA-seq datasets of human peripheral blood mononuclear cells (PBMC) from 10X Genomics. Overall, the TISCH database contains 76 high-quality tumor datasets across 27 cancer types and three PBMC datasets (Supplementary Table S1). We downloaded the expression matrix of the raw count, TPM or FPKM (if available) for each dataset. We collected sample information from databases or the original studies, such as the patient ID, tissue origin, treatment condition, response groups and the original cell-type annotation. Notably, we processed each cancer type separately if a dataset contained multiple cancer types. The source code for processing all the collected scRNA-seq datasets are deposited at the Github repository (https://github.com/DongqingSun96/TISCH/tree/master/code)
Publication 2020
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Carcinoma Cells Homo sapiens Immunotherapy Malignant Neoplasms Mus Neoplasms Patients PBMC Peripheral Blood Mononuclear Cells Single-Cell RNA-Seq Tissues Trees
Single-cell gene expression measurements derived from the droplet-based platform by 10X Genomics using their Chromium v2 chemistry were downloaded from the company website (https://support.10xgenomics.com/single-cell-gene-expression/datasets). Expression data from 4459 human T cells (t_4k) and 68,580 peripheral blood mononuclear cells (PBMCs; pbmc68k) from two separate donors were normalised separately using size factors estimated by the deconvolution method as previously described [28 (link)]. Highly variable genes were defined within each data set as previously described [25 (link)] (PBMC - 1409 genes, T cells - 1219). To define communities of transcriptionally similar cells, we constructed a SNN graph, and assigned cells to specific communities using the Walktrap algorithm. The identity of each community was assigned by visualisation of canonical marker gene expression to major leukocyte lineages (CD3, CD20, CD14, CD16, CD1C, CD56). Droplet data sets were combined using our MNN approach on the intersection of the two highly variable gene sets (270 genes). Low-dimensional representations of individual and combined data sets was performed using t-SNE.
Publication 2018
CD1C protein, human Cells Chromium Donors Gene Expression Genes Homo sapiens Leukocytes PBMC Peripheral Blood Mononuclear Cells T-Lymphocyte
We define as a pyramid a directed acyclic graph with a root node. Samples of microenvironment purified cells were labeled according to their reported immune or stromal populations, resulting in 63 distinct labels in the MCP discovery series, with an additional 15 labels for the MCP validation series, resulting in a total of 78 labels. We organized these labels in a pyramidal graph (Additional file 2: Figure S1) with nodes representing populations (categories) and directed edges representing relations of inclusion. For instance, the labels “CD8+ T cells”, “CD4+ T cells”, “Tγδ cells”, “Memory T cells”, “Activated T cells”, and “Naïve T cells” and all labels included in them (for instance “Effector-memory CD8 T cells”) form the “T cells” category, which itself is included in the “T/NK lineage” category. Of these 78 sample labels, some correspond to terminal leaves of this pyramid (e.g., “Canonical CD4 Treg cells”), while others correspond to higher level nodes (e.g., peripheral-blood mononuclear cells (“PBMC”)). In addition to these 78 labels, 15 hematopoiesis or immunology-inspired categories that are not directly represented by samples but relevant for their organization in a structured pyramid (for instance “Lymphocytes”) or as a potential cell population (for instance “antigen-experienced B cells”) were added (Additional file 1: Table S13). Categories corresponding to tumor samples were discarded for the identification of TM and only kept as negative controls, resulting in 68 categories available for screening.
Having defined this set of 78 labels and 68 categories (53 categories are directly represented by labels, with 15 additional categories not directly represented in the dataset), we exhaustively encoded the relationships between labels and categories using three possible relationships (Additional file 1: Table S13). Relative to a category, we define three sets of samples:

C : “positive samples” are those whose label is included in the category (all cells composing a sample which is in C are in the category)

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C¯
: “negative samples” are those whose label is strictly non-overlapping with the category (all cells of a sample which is in \documentclass[12pt]{minimal}
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-1 : “mixed samples” are those whose label is partly overlapping with the category (some cells of the sample are in C and some are in \documentclass[12pt]{minimal}
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For instance, for CD8+ T cells, C is the set of samples whose label is “CD8 T cells” or “Effector memory CD8 T cells” (Additional file 2: Figure S1; Additional file 1: Table S13), mixed samples are, for instance, CD3+ T cells as they mix CD4+ and CD8+ T cells, or PBMC as they mix CD8+ T cells with, e.g., monocytes. C¯ is defined as all non-positive non-mixed samples.
Note that the relationships represented in Additional file 2: Figure S1 only correspond to the “direct inclusion” relationship, which is transitive (we thus removed for clarity all the arrows which can be inferred by transitivity). Hence, strict exclusion or mixture relationships are not represented but are taken into account during the screening process (the related information is available in Additional file 1: Table S13).
Publication 2016
Antigens B-Lymphocytes CD4 Positive T Lymphocytes CD8-Positive T-Lymphocytes Cells Effector Memory T Cells Hematopoiesis Lymphocyte Memory T Cells Monocytes Neoplasms PBMC Peripheral Blood Mononuclear Cells Plant Roots T-Lymphocyte
All patient samples in this study were reviewed and approved by the Stanford Institutional Review Board in accordance with the Declaration of Helsinki. Tonsils were collected as part of routine tonsilectomy procedures at Lucile Packard Children’s Hospital at Stanford University with informed consent for research use, and then mechanically disaggregated before cell suspensions were cryopreserved (Supplementary Fig. 3b). Peripheral blood mononuclear cells (PBMCs) were isolated from specimens taken before and immediately following four weekly doses of infusional rituximab (375 mg m−2) monotherapy for extranodal marginal zone lymphoma (EMZL) in a subject without measurable circulating disease (patient 1 in Supplementary Fig. 4c). PBMCs were respectively isolated from specimens taken immediately following four cycles and six cycles of RCHOP immunochemotherapy for treatment of DLBCL (patients 2 and 3 in Supplementary Fig. 4c). PBMCs were also isolated from a subject following four cycles of Rituximab for treatment of FL (patient 4 in Supplementary Fig. 4c); this subject had ~2% circulating lymphoma cells at diagnosis, which were undetectable by CIBERSORT and flow cytometry following four Rituximab infusions. Specimens of adjacent normal lung tissue were obtained during surgical resection of early stage non-small cell lung tumors (Fig. 2h). Surgical tissue biopsies were obtained from untreated FL patients enrolled in a Phase III clinical trial (NCT0001729018 (link)) (Fig. 2i and Fig. 3c). Lastly, PBMCs were obtained from 20 adults of varying ages receiving influenza immunization (NCT01827462) (Fig. 3a), and from seven adults consisting of patient 4 in Supplementary Fig. 4c and six healthy subjects (Fig. 3b, which includes patient 4).
Publication 2015
Adult Biopsy Cells Child Diagnosis Ethics Committees, Research Flow Cytometry Healthy Volunteers Lung Lung Neoplasms Lymphoma Mucosa-Associated Lymphoid Tissue Lymphoma Operative Surgical Procedures Palatine Tonsil Patients PBMC Peripheral Blood Mononuclear Cells Rituximab Tissues Tonsillectomy Vaccination Virus Vaccine, Influenza

Most recents protocols related to «PBMC Peripheral Blood Mononuclear Cells»

Not available on PMC !

EXAMPLE 36

Peripheral blood mononuclear cells were prepared from blood samples obtained from llama No. 45 and No. 46 using Ficoll-Hypaque according to the manufacturer's instructions. Next, total RNA extracted was extracted from these cells and used as starting material for RT-PCR to amplify Nanobody encoding gene fragments. These fragments were cloned into phagemid vector pAX50. Phage was prepared according to standard methods (see for example the prior art and applications filed by applicant cited herein) and stored after filter sterilization at 4° C. for further use.

Patent 2024
Bacteriophages BLOOD Cloning Vectors DNA Library Ficoll Genes Hypaque Llamas PBMC Peripheral Blood Mononuclear Cells Reverse Transcriptase Polymerase Chain Reaction Sterilization
Not available on PMC !

Example 5

This example provides a showing of an effect of anti-PD-L1 on NK cell activation. Disclosed anti-PD-L1 antibodies were assayed for their ability to promote the activation of lymphocytes. Peripheral blood mononuclear cells or purified populations of lymphocyte subsets isolated by cell sorting were cultured with IL-2 (100 U/ml) in the presence or absence of added anti-PD-L1 antibodies (10 μg/ml). After five days of culture, cells were stained for expression of CD25 as a measure of cell activation and analyzed by flow cytometry. The results shown in FIG. 5 reveal that H6 and H10 enhance cell activation and that the responsive lymphocyte population is the NK cell.

Patent 2024
Anti-Antibodies Antigens Binding Proteins CD274 protein, human Cells Flow Cytometry IL2RA protein, human Lymphocyte Activation Natural Killer Cells PBMC Peripheral Blood Mononuclear Cells

Example 4

Peripheral blood mononuclear cells (PBMCs) were isolated from freshly collected whole blood from Ulcerative Colitis (UC) and Crohn's Disease (CD) patients, by conventional density gradient centrifugation. To induce CD30L expression on primary lymphocytes, the isolated cells were stimulated overnight with Phorbol 12-myristate 13-acetate (PMA) and ionomycin. The next day, the stimulated cells, along with non-stimulated cells kept as control, were collected, washed and incubated on ice with increasing concentrations of fluorescently labeled anti-CD30L antibodies or isotype control (from 0.001 nM to 60 nM). After washing to remove unbound antibodies, the cells were fixed in a paraformaldehyde solution and analyzed by flow cytometry to quantify cell surface antibody binding. Typical results from this assay are shown in Table 7.

TABLE 7
Binding to primary lymphocytes from UC and
CD patients stimulated with PMA/ionomycin.
Patient 1Patient 2Patient 3Patient 4
(CD, #04-021)(UC, #03-041)(UC, #02-180)(CD, #01-051)
AntibodyBindingBindingBindingBinding
CloneEC50 (nM)EC50 (nM)EC50 (nM)EC50 (nM)
Ref1 (HC of3.633.123.072.82
SEQ ID NO:
768 & LC of
SEQ ID NO:
769)
17.455.435.574.53
22.401.551.711.72

Patent 2024
Anti-Antibodies Antibodies APEX1 protein, human Biological Assay BLOOD Cells Centrifugation, Density Gradient Clone Cells Crohn Disease Flow Cytometry Immunoglobulin Isotypes Immunoglobulins Ionomycin Lymphocyte paraform Patients PBMC Peripheral Blood Mononuclear Cells Tetradecanoylphorbol Acetate Ulcerative Colitis

Example 3

To produce MetCAR T cells, peripheral blood mononuclear cells (PBMCs) isolated from healthy donors were stimulated with anti-CD3/CD28 antibodies in the presence of IL-7 (10 ng/ml) and IL-15 (5 ng/ml) for 24 hr to expand CD3+ T cells for transduction with MetCARs. CD3+ T cells are regularly tested to reach >90% after stimulation (data not shown). Because all MetCAR constructs use CD19 as a tag, the expression of CD19 by flow cytometer is used as the transduction efficacy (FIGS. 2A, 2B). With NT cells as a negative control, MetCAR transduction efficiency ranged from 60-90% with no significant differences between MetCAR constructs (FIGS. 2A, 2B). MetCAR expression levels were determined using CD3ζ as a marker (FIG. 2C). Results showed that both MetCAR.CD28.ζ. and MetCAR.4-1BB.ζ.-transduced T cells had CD3ζ overexpression comparing with non-transduced or CAR.Δ-transduced T cells. p-CD3ζ expression was also observed in MetCAR.CD28.ζ- and MetCAR.4-1BB.ζ.-transduced T cells (FIG. 2C), indicating the activation of TCR in MetCAR-T cells.

Patent 2024
Anti-Antibodies Cells Donors Interleukin-15 PBMC Peripheral Blood Mononuclear Cells T-Lymphocyte
Not available on PMC !

EXAMPLE 12

Peripheral blood mononuclear cells were prepared from blood samples obtained from llama No. 146 and No. 147 using Ficoll-Hypaque according to the manufacturer's instructions. Next, total RNA extracted was extracted from these cells and used as starting material for RT-PCR to amplify Nanobody encoding gene fragments. These fragments were cloned into phagemid vector pAX50. Phage was prepared according to standard methods (see for example the prior art and applications filed by applicant cited herein) and stored after filter sterilization at 4° C. for further use.

Patent 2024
Bacteriophages BLOOD Cloning Vectors DNA Library Ficoll Genes Hypaque Llamas PBMC Peripheral Blood Mononuclear Cells Reverse Transcriptase Polymerase Chain Reaction Sterilization

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Ficoll-Paque is a density gradient medium used for the isolation and purification of cells, such as mononuclear cells, from whole blood or other biological samples. It is designed to separate different cell types based on their density differences during centrifugation.
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Histopaque-1077 is a density gradient medium used for the isolation of mononuclear cells from whole blood. It is a sterile, endotoxin-tested solution composed of polysucrose and sodium diatrizoate, adjusted to a density of 1.077 g/mL.
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RPMI 1640 is a common cell culture medium used for the in vitro cultivation of a variety of cells, including human and animal cells. It provides a balanced salt solution and a source of essential nutrients and growth factors to support cell growth and proliferation.
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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
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Penicillin is a type of antibiotic used in laboratory settings. It is a broad-spectrum antimicrobial agent effective against a variety of bacteria. Penicillin functions by disrupting the bacterial cell wall, leading to cell death.
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Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.

More about "PBMC Peripheral Blood Mononuclear Cells"

Peripheral Blood Mononuclear Cells (PBMCs) are a crucial component of the human immune system, comprising a heterogeneous population of lymphocytes (T cells, B cells, and NK cells) and monocytes.
These cells play a vital role in the body's immune response and are widely studied in medical research, particularly in areas such as immunology, infectious diseases, and cancer.
PBMCs are typically isolated from whole blood using techniques like Ficoll-Paque PLUS density gradient centrifugation, which separates the different blood components based on their density.
The isolated PBMCs can then be cultured in RPMI 1640 medium supplemented with essential nutrients like FBS, L-glutamine, and antibiotics (Penicillin/streptomycin) to maintain their viability and functionality.
Researchers rely on PBMC isolation and analysis to better understand the complexities of the human immune system and develop new therapies and diagnostics.
PBMCs are often used as a model system to investigate immune function and dysfunction, as they provide a representative sample of the body's immune cells.
With the advent of AI-driven platforms like PubCompare.ai, researchers can now optimize their PBMC research protocols by accessing a vast database of protocols from literature, pre-prints, and patents.
These platforms utilize advanced AI comparisons to ensure reproducibility and accuracy in PBMC experiments, streamlining the research process and helping scientists make more informed decisions.
Whether you're studying immune responses, investigating infectious diseases, or exploring new cancer therapies, understanding the role and behavior of PBMCs is crucial.
By leveraging the latest tools and technologies, researchers can unlock the full potential of these versatile immune cells and drive breakthroughs in medical research.