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Lymph

Lymph is the clear fluid that circulates through the lymphatic system, carrying waste and other materials away from the body's tissues.
It plays a crucial role in the immune system, transporting white blood cells and antibodies to fight infection.
Lymph research is essential for understanding lymphatic function and disorders, such as lymphoma, lymphedema, and other conditions affecting the lymphatic system.
PubCompare.ai's AI-driven protocol comparison tool can enhance the reproducibility and accuracy of lymph research by helping researchers locate the best protocols from literature, pre-prints, and patents.
This intuitive platform streamlines the research process and improves the quality of findings, allowing scientists to experiecne the power of AI-driven analysis in their lymph-related studies.

Most cited protocols related to «Lymph»

Results are based in part upon data generated by TCGA Research Network (http://cancergenome.nih.gov/). We aggregated TCGA transcriptomic and RPPA data from public repositories, listed in the “Data availability” section. RNA-seq expression data were processed by TCGA at the gene level, rather than at the transcript level. Tumors spanned 32 different TCGA projects, each project representing a specific cancer type, listed as follows: LAML, acute myeloid leukemia; ACC, adrenocortical carcinoma; BLCA, bladder urothelial carcinoma; LGG, lower grade glioma; BRCA, breast invasive carcinoma; CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma; CHOL, cholangiocarcinoma; CRC, colorectal adenocarcinoma (combining COAD and READ projects); ESCA, esophageal carcinoma; GBM, glioblastoma multiforme; HNSC, head and neck squamous cell carcinoma; KICH, kidney chromophobe; KIRC, kidney renal clear cell carcinoma; KIRP, kidney renal papillary cell carcinoma; LIHC, liver hepatocellular carcinoma; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; DLBC, lymphoid neoplasm diffuse large B-cell lymphoma; MESO, mesothelioma; OV, ovarian serous cystadenocarcinoma; PAAD, pancreatic adenocarcinoma; PCPG, pheochromocytoma and paraganglioma; PRAD, prostate adenocarcinoma; SARC, sarcoma; SKCM, skin cutaneous melanoma; STAD, stomach adenocarcinoma; TGCT, testicular germ cell tumors; THYM, thymoma; THCA, thyroid carcinoma; UCS, uterine carcinosarcoma; UCEC, uterine corpus endometrial carcinoma; UVM, uveal melanoma. Cancer molecular profiling data were generated through informed consent as part of previously published studies and analyzed per each original study’s data use guidelines and restrictions.
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Publication 2019
4-carboxyphenylglyoxal Adenocarcinoma Adenocarcinoma of Lung Adrenocortical Carcinoma Breast Carcinoma Carcinoma, Thyroid Carcinoma, Transitional Cell Carcinosarcoma Cells Cholangiocarcinoma Chromophobia Chronic Obstructive Airway Disease Diffuse Large B-Cell Lymphoma Endocervix Endometrial Carcinoma Esophageal Cancer Familial Atypical Mole-Malignant Melanoma Syndrome Gene Expression Profiling Genes Glioblastoma Multiforme Glioma Hepatocellular Carcinomas Hypernephroid Carcinomas Kidney Leukemia, Myelocytic, Acute Lung Lymph Malignant Neoplasms Mesothelioma Neck Neoplasms Ovary Pancreas Paraganglioma Pheochromocytoma Prostate Renal Cell Carcinoma RNA-Seq Sarcoma Serous Cystadenocarcinoma Squamous Cell Carcinoma Squamous Cell Carcinoma of the Head and Neck Stomach Testicular Germ Cell Tumor Thymoma Urinary Bladder Uterus Uveal melanoma X-Ray Photoelectron Spectroscopy

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Publication 2011
Antibodies B-Lymphocytes Basophils Cells Dendritic Cells Eosinophil Ficoll Flow Cytometry Granulocyte Progenitor Cells Hypaque Immunophenotyping ITGAM protein, human Lymph Megakaryocyte-Erythroid Progenitor Cells Megakaryocytes Monocytes Myeloid Progenitor Cells Natural Killer Cells Neutrophil Population Group Stem Cells, Hematopoietic T-Lymphocyte trizol
Multiple types of biological samples were collected from healthy volunteers and patients with suspicion or diagnosis of different types of hematological malignancies and other non-clonal hematological and non-hematological disorders, as specified later in each section of this paper. The collected samples concerned peripheral blood (PB), bone marrow (BM), fine needle aspirates (FNA), biopsies from lymphoid and non-lymphoid tissues, cerebrospinal fluid (CSF) and vitreous samples. For all patients with a hematological malignancy, the diagnosis was established according to the WHO criteria.3 Informed consent procedures and forms were proposed and approved at the first EuroFlow meeting (see the Editorial in this Leukemia issue). Informed consent was given by donors or their guardians (for example, parents) in case of children according to the guidelines of the local Medical Ethics Committees and in line with the Declaration of Helsinki Protocol. All participants obtained approval or no-objection from the local Medical Ethics Committees for secondary use of remaining diagnostic material for the EuroFlow studies, which also allows the inclusion of anonymized flow cytometric results into a central (public) database to define reference values for normal, reactive, regenerating and malignant cell samples.
Publication 2012
Aspiration Biopsy, Fine-Needle Biopharmaceuticals Biopsy BLOOD Bone Marrow Cells Cerebrospinal Fluid Child Clone Cells Diagnosis Donors Flow Cytometry Healthy Volunteers Hematological Disease Hematologic Neoplasms Legal Guardians Leukemia Lymph Lymphoid Tissue Parent Patients Regional Ethics Committees Specimen Collection
We obtained the normalized gene expression profile of 345 miRNAs in 40 normal tissues that included specimens derived from brain, muscle, circulatory, respiratory, lymphoid, gastrointestinal, urinary, reproductive, and endocrine systems[15] (link). The tissue specificity of a miRNA's expression was calculated based on the tissue specificity index τ proposed by Yanai et al[16] (link). The τ of miRNA i is defined as where nH is the number of human tissues (here nH = 40) and SH(i,max) is the highest expression value of miRNA i across the nH tissues.
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Publication 2008
Blood Circulation Brain Homo sapiens Lymph MicroRNAs Muscle Tissue Reproduction Respiratory Rate System, Endocrine Tissues Tissue Specificity Urine
CD45.2 C57BL/6 (B6) and CD45.1 B6 mice were from the National Cancer Institute or a colony maintained at the University of California, San Francisco. Mice lacking Sphk2 and carrying LoxP-flanked Sphk1 were on a B6/129 mixed background (Pappu et al., 2007 (link)). Lyve-1 Cre knockin mice on a B6/129 mixed background were generated as described in Fig. S1. Lyve-1 Cre+ Sphk1f/− or f/f Sphk2−/− mice were generated by intercrossing. Control mice were usually littermates and were always from the same intercross and carried at least one wild-type Sphk allele. Rosa26-YFP reporter mice (Srinivas et al., 2001 (link)) were provided by N. Killeen (University of California, San Francisco, San Francisco, CA). To generate BM chimeras, recipient CD45.2+ mice were lethally irradiated with 1,300 rads in two doses separated by 3 h and injected with 5 × 106 wild-type BM cells prepared from a CD45.1+ donor. In some experiments, ∼2 × 107 cells/ml were labeled with 3.3 µM CFSE (Invitrogen) or 10 µM 5-(and-6)-(((4-chloromethyl)benzoyl)amino)tetramethylrhodamine (CMTMR; Invitrogen) in RPMI 1640 containing 2% FCS for 20 min at 37°C, and were then washed by spinning through a layer of FCS. Labeled cells were resuspended at ∼2 × 107 cells/ml, and were treated with 10 ng/ml OB or PTX at 37°C for 10 min, washed twice in warm RPMI 1640 with 2% FCS and 10 mM Hepes, and transferred to recipient mice. Lymph collection was performed as previously described (Matloubian et al., 2004 (link)). In brief, under a stereomicroscope, lymph was drawn from the cysterna chyli using a fine borosilicate glass microcapillary pipette (Sutter Instrument Co.). Cell numbers determined by flow cytometry were divided by the volume of collected lymph to determine the concentration. Protocols were approved by the Institutional Animal Care and Use Committee of the University of California, San Francisco.
Publication 2010
(((4-chloromethyl)benzoyl)amino)-tetramethylrhodamine 5-(6)-carboxyfluorescein diacetate succinimidyl ester Alleles Cells Chimera Flow Cytometry HEPES Institutional Animal Care and Use Committees Lymph Mice, 129 Strain Mus RRAD protein, human sphingosine kinase 2, human tetramethylrhodamine Tissue Donors

Most recents protocols related to «Lymph»

To assess the co-accessibility effect of cell-type-specific trans-open chromatin regions on Z-scores we used the output of Signac’s CallPeaks() function to retrieve from which cell-type a peak was called by MACS221 (link) (implemented in Signac). The cell-types were categorised in 4 broader classes representative of the UMAP and dendrogram:

Lymphoid; CD8 Naive, CD4 Naive, CD4 TCM, CD8 TEM, CD8 TCM, CD4 TEM, MAIT, Treg

NK cells; gdT, NK, CD8 TEM, MAIT

Monocytes; CD14 Mono, CD16 Mono, cDC2, pDC

B cells; B intermediate, B memory, B naive

For ATACseq peaks that were called in all 4 broad cell-type classes, no filtering was done. For ATACseq peaks with some specificity (i.e., not called in all 4 broad cell-type), we removed all trans-peaks from the trans-peak pool to match the cis-peak that were also called in the same broad cell-type class. Therefore, a tested ATACseq peaks called only in B cells and Monocytes by MACS2 would have a null distribution composed of trans-peaks called in lymphoid and/or NK cells.
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Publication 2023
B-Lymphocytes CDK1 protein, human Cells Chromatin Lymph Memory Monocytes Natural Killer Cells
Fig. S1 shows the expression of Aldh1a1 gene among tissues, cellular characterization of ALDH-producing cells in omentum, and localization of ALDH1A2+ cells in the omentum. Fig. S2 shows gene expression analysis of Aldh1a2+ FRCs. Fig. S3 shows targeting construct of Postn-DTR allele and population analysis of omental stromal fractions. Fig. S4 includes Desmin+ FRC network, scRNA-seq analysis, and lymphoid organization of WT and Postn-DTR mice. Fig. S5 shows HEV populations in WT and Postn-DTR omenta and quantification of CXCL12 signal in the lumen of HEVs.
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Publication 2023
ALDH1A1 protein, human ALDH1A2 protein, human Alleles Cells Chemokine CXCL12 Desmin Gene Expression Gene Expression Profiling Hepatitis E virus Lymph Mus Omentum Population Group Single-Cell RNA-Seq Tissues
This study included 25 patients with PBL who presented at The Third Affiliated Hospital of Kunming Medical University from February 2014 to September 2021, including 14 male patients and 11 female patients. All patients met the following criteria: (1) age between 18 and 80 years; (2) a bone puncture or biopsy was performed to diagnose lymphoma; (3) 18F-FDG PET/CT examination was conducted before treatment and (4) multimodality imaging examinations met the diagnostic criteria for PBL (a single skeletal tumor without regional lymph node involvement or multiple bone lesions without visceral or lymph node involvement) [10 (link),19 (link)]. This study collected the patients’ age, sex, presenting symptoms, B symptoms, pathological results, lactate dehydrogenase values, treatment methods and International Prognostic Index scores before treatment. The diagnosis of different types of PBL can be determined by multimodal imaging examinations, histopathological examination, immunohistochemical staining and genetic testing if necessary. The pathological classification of PBL is based on the 2016 revision of the WHO classification of lymphoid neoplasms [20 (link)]. All procedures performed in the present study that involved human participants were approved by the Institutional Review Board of The Third Affiliated Hospital of Kunming Medical University and performed in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.
Publication 2023
Biopsy Bones Diagnosis Differential Diagnosis Ethics Committees, Research F18, Fluorodeoxyglucose Homo sapiens Lactate Dehydrogenase Lymph Lymphoma Males Neoplasms Nodes, Lymph Patients Physical Examination Punctures Scan, CT PET Skeleton Woman
All eligible ESCC patients underwent esophagectomy via Ivor-Lewis or McKeown procedures with standard 2-field lymphadenectomy. All Siewert AEG procedures were performed via the Ivor-Lewis procedure or combined thoracoabdominal approach. Proximal gastrectomy was routinely performed in AEG patients. Patients with a combined thoracoabdominal approach did not have esophageal involvement of more than 3.0 cm, and upper mediastinal lymph node metastasis was evaluated by preoperative CT scan. Due to the surgical approach, these AEG patients did not undergo complete upper mediastinal lymphadenectomy. In this study, the mediastinal lymph nodes were divided into upper and lower areas. The upper mediastinal lymph area included the left and right recurrent laryngeal nerve, upper thoracic paraesophageal, paratracheal, and subcarinal lymph nodes. The depth of the primary tumor, grade of the tumor, degree of lymph node, and TNM staging were defined according to the Union Internationale Against Cancer (UICC)/American Joint Committee on Cancer (AJCC) TNM classification (8th edition) (3 ).
Publication 2023
Esophagectomy Gastrectomy Joints Lymph Lymph Node Excision Lymph Node Metastasis Malignant Neoplasms Mediastinum Neoplasms Nodes, Lymph Operative Surgical Procedures Patients Recurrent Laryngeal Nerve X-Ray Computed Tomography
Pieces of tumors were collected and digested overnight in digestion buffer (2.1 mg/mL collagenase type I (Worthington), 75 µg/mL DNAase I (Worthington), 5 mM CaCl2 and 1% P/S in RPMI). The following day, samples were incubated for 15 min at 37°C and filtered through a 70 µm nylon cell strainer and erythrocytes lysed using the red blood cells (RBC) lysing buffer (Sigma) for 1–2 min. Splenocytes (isolated from spleens of female mice) were instead generated by forcing freshly isolated spleens through 70 µm cell strainers and erythrocytes lysed using RBC lysing buffer for 1 min. Following centrifugation, cells (tumor/splenocytes) were washed and eventually resuspended in PBS. Single-cell suspensions from tumors/spleens were stained for 30 min (4°C in the dark) for relevant cell-surface markers in Fluorescence-activated cell sorter (FACS) staining buffer (PBS with 7% FBS). Next, cells were washed, resuspended in PBS and stored at 4°C until flow cytometric analyses were performed on the same day. All samples were acquired on Cytek Aurora equipped with four lasers (Cytek Biosciences) or by FACSCanto II cell Analyzer BD and analyzed with FlowJo V.10.6.1 or V.10.8 software. Viable cells were determined as a fraction of single cells negative for staining with Zombie Aqua Fixable Viability Dye. The immune cell populations were analyzed in three different panels: Panel 1 (general panel), Panel 2 (myeloid panel) and Panel 3 (lymphoid panel), which are described in online supplemental materials and methods. All cells were gated on singlets, living cells and the corresponding gating strategy for each cell population.
Publication 2023
Buffers Centrifugation Collagenase Deoxyribonucleases Digestion Erythrocytes Females Flow Cytometry Fluorescence Lymph Mus Neoplasms Nylons Splenic Neoplasms

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More about "Lymph"

Lymph is the clear fluid that circulates through the lymphatic system, carrying waste and other materials away from the body's tissues.
It plays a crucial role in the immune system, transporting white blood cells, lymphocytes, and antibodies to fight infection.
Lymph research is essential for understanding lymphatic function and disorders, such as lymphoma, lymphedema, and other conditions affecting the lymphatic system.
The FACSCanto II flow cytometer, along with the LSRFortessa and FACSCalibur, are powerful tools used in lymph-related studies to analyze and sort cells within the lymphatic system.
These instruments, combined with reagents like the Alexa Fluor 647 conjugated anti-CD70 antibody and Puromycin expression cassette, allow researchers to identify and characterize different lymphocyte populations, such as T cells and B cells, which are crucial components of the lymphatic system.
Additionally, the use of RPMI 1640 media and DNase I can be beneficial in lymph research, as they provide a suitable environment for the cultivation and manipulation of lymphatic cells.
The FACSAria II cell sorter, another essential tool, enables the isolation of specific cell types from lymph samples for further analysis and experimentation.
PubCompare.ai's AI-driven protocol comparison tool can enhance the reproducibility and accuracy of lymph research by helping researchers locate the best protocols from literature, pre-prints, and patents.
This intuitive platform streamlines the research process and improves the quality of findings, allowing scientists to experiecne the power of AI-driven analysis in their lymph-related studies.