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> Anatomy > Body Part > Thyroid Gland

Thyroid Gland

The thyroid gland is a small, butterfly-shaped endocrine gland located in the neck.
It produces hormones that regulate essential bodily functions, such as metabolism, growth, and development.
The thyroid gland plays a crucial role in maintaining overall health and well-being.
Researchers can optimize their thyroid gland studies by utilizing PubCompare.ai, a leading AI-driven platform for comparing and improving research protocols.
This innovative tool helps scientists easily locate the best protocols from literature, pre-prints, and patents, using advanced AI-powered comparisons.
By identfiying the most effective protocols and products, researchers can accelerate their thyroid gland research and unlock new discoveries to improve our understanding of this important gland.

Most cited protocols related to «Thyroid Gland»

We used the nine tissues with the largest sample size in the Genotype-Tissue Expression (GTEx) Pilot Project14 to test the gene prediction models generated in the DGN cohort. Tissue samples included subcutaneous adipose (n=115), tibial artery (n=122), left ventricle heart (n=88), lung (n=126), skeletal muscle (n=143), tibial nerve (n=98), skin from the sun-exposed portion of the lower leg (n=114), thyroid (n=112), and whole blood (n=162). In each tissue, normalized gene expression was adjusted for gender, the top 3 principal components (derived from genotype data), and the top 15 PEER factorsh.2p2csry (to quantify batch effects and experimental confounders)41 . We used GTEx to test the portability of predictors developed in whole blood (from the DGN cohort) across a wide variety of tissues.
Publication 2015
BLOOD Gene Expression Genotype Heart Left Ventricles Leg Lung Obesity Skeletal Muscles Skin Thyroid Gland Tibial Arteries Tibial Nerve Tissues
We used the nine tissues with the largest sample size in the Genotype-Tissue Expression (GTEx) Pilot Project14 to test the gene prediction models generated in the DGN cohort. Tissue samples included subcutaneous adipose (n=115), tibial artery (n=122), left ventricle heart (n=88), lung (n=126), skeletal muscle (n=143), tibial nerve (n=98), skin from the sun-exposed portion of the lower leg (n=114), thyroid (n=112), and whole blood (n=162). In each tissue, normalized gene expression was adjusted for gender, the top 3 principal components (derived from genotype data), and the top 15 PEER factorsh.2p2csry (to quantify batch effects and experimental confounders)41 . We used GTEx to test the portability of predictors developed in whole blood (from the DGN cohort) across a wide variety of tissues.
Publication 2015
BLOOD Gene Expression Genotype Heart Left Ventricles Leg Lung Obesity Skeletal Muscles Skin Thyroid Gland Tibial Arteries Tibial Nerve Tissues
The Endocrine Pathology Society working group included 24 experienced thyroid pathologists (representing 7 countries and 4 continents), 2 endocrinologists, 1 surgeon, and 1 psychiatrist. In addition, a molecular pathologist, a biostatistician, and a thyroid cancer survivor/patient advocate participated in the study.
Publication 2016
Cancer Survivors Carcinoma, Thyroid Endocrinologists Pathologists Patients Psychiatrist Surgeons Survivors System, Endocrine Thyroid Gland
Total RNA was prepared from human cell lines (especially from the ATCC bio-resource center, N = 50) and tissue samples (clinical samples, N = 285) from 13 different human adult tissue types, i.e. blood, brain, breast, colon, epithelium, kidney, lymphoma, lung, liver, muscle, prostate, rectum and thyroid. RNA purification was performed by cesium chloride ultracentrifugation according to Chomczynski and Sacchi (26 (link)), by phenol-based extraction methods (TRIzol reagent, Invitrogen, USA), or silica gel-based purification methods (RNeasy Mini Kit, Qiagen, Germany; Strataprep kit, Stratagene, USA or SV RNA isolation kit, Promega, USA) according to the manufacturer's instructions with some modifications. Material was maintained at −80°C with minimal handling. RNA extraction was carried out in an RNase-free environment (see Supplementary Table 1 online).
The commercially available RNA samples were the ‘Universal Human Reference’ (N = 75) distributed by Stratagene (USA), and human brain (N = 2) and muscle (N = 2) RNAs supplied by Clontech (USA).
Once extracted, RNA concentration and purity was first verified by UV measurement, using the Ultrospec3100 pro (Amersham Biosciences, USA) and 5 mm cuvettes. The absorbance (A) spectra were measured from 200 to 340 nm. A230, A260 and A280 were determined. A260:A280 and A260:A230 ratios were calculated. For microcapillary electrophoresis measurements, the Agilent 2100 bioanalyzer (Agilent Technologies, USA) was used in conjunction with the RNA 6000 Nano and the RNA 6000 Pico LabChip kits. In total, 39 assays were run in accordance with the manufacturer's instructions (see Supplementary Notes online). To evaluate the reliability of the classifier systems described in this study, replicate runs were done on a set of 56 RNA samples loaded on different chips, resulting in 2 (N = 41), 3 (N = 12), 7 (N = 2) and 50 (N = 1) data points per sample.
Publication 2005
Adult Biological Assay BLOOD Brain Breast Cell Lines cesium chloride Colon DNA Chips DNA Replication Electrophoresis Endoribonucleases Epithelium Histocompatibility Testing Homo sapiens isolation Kidney Liver Lung Lymphoma Muscle Tissue Phenols Promega Prostate Rectum Silica Gel Thyroid Gland Tissues trizol Ultracentrifugation
Four types of data were collected: a health survey, self-reported anthropometric measurements, a blood sample, and a medical chart review to validate selected self-reported diagnoses. In identifying clinical laboratory tests and selecting diagnoses for validation, priority was given to those with potential associations with PFC exposure as reported in the scientific literature. Clinical laboratory tests included serum lipid, immune, and inflammatory markers; liver, kidney, and thyroid function; complete blood count; serum electrolytes and protein; and endocrine function, including insulin and glucose [see Supplemental Material, Note 4 (doi:10.1289/ehp.0800379.S1)]. Validated medical diagnoses included heart disease, cancers, thyroid disease, neurologic disorders, inflammatory and autoimmune disorders, and pregnancy complications [see Supplemental Material, Note 5 (doi:10.1289/ehp.0800379.S1)].
The health survey gathered demographic data; current and historic residential and employment information, including water source and use; personal medical diagnoses, treatments including medications, and physical symptoms; family medical history; pregnancy history and pregnancy-related outcomes for women; and information about lifestyle and health behaviors. Participants also self-reported their own height, weight, and blood pressure. Brookmar, Inc. contracted with a separate company to independently pilot test the survey, and revisions were made based on pilot-test findings. The final version of the survey was accepted by the settling parties. The survey, a list of the clinical laboratory tests, and the 18 medical diagnoses verified by medical record review are publically available on The C8 Health Project WVU Data Hosting Website (C8 Health Project 2009 ).
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Publication 2009
Autoimmune Diseases BLOOD Blood Pressure Clinical Laboratory Tests Complete Blood Count Diagnosis Electrolytes Glucose Heart Diseases Inflammation Insulin Kidney Lipids Liver Malignant Neoplasms Nervous System Disorder Pharmaceutical Preparations Physical Examination Pregnancy Complications Proteins Serum System, Endocrine Thyroid Diseases Thyroid Gland Woman

Most recents protocols related to «Thyroid Gland»

Example 4

An overview of the immunization strategies for lectin-binding proteins, such as galectin-3, is shown in Table 18.

BALB/c mice were immunized with 2 mg/kg mRNA, complexed with LNPs, or 20 μg recombinant protein as indicated in Table 18. Plasma anti-galectin-3 IgG titers were assayed 7 days after the final boost, which was delivered at day 55.

FIG. 3 shows that the use of galectin-3 mRNA as a final boosting agent resulted in a significantly higher target-specific IgG titer than when purified recombinant protein (a traditional immunogen) was used. This effect was observed regardless of whether the antigens were delivered subcutaneously or intravenously.

Hybridomas producing galectin-3-specific antibodies were generated, and high affinity monoclonal anti-galectin-3 antibodies were obtained from further screens.

TABLE 18
Priming ImmunizationBoostFinal Boost
(Day 0)(Day 7)(Day 55)
mRNA (I.V.)mRNA (I.V.)mRNA (I.V.)
mRNA (I.V.)mRNA (I.V.)Recombinant protein
(I.V.)
mRNA (S.C.)mRNA (S.C.)mRNA (S.C.)
mRNA (S.C.)mRNA (S.C.)Recombinant protein
(S.C.)
Summary of the Hit Rates Attainable by mRNA-Mediated Immunization

Table 19 provides a target protein-specific summary of the total number of hybridoma wells (generally about one third (⅓) of these wells contain hybridomas) screened and the number of confirmed target-specific antibodies obtained from those hybridomas wells following the use of lipid-encapsulated mRNA as an immunogen.

Table 20 provides a comparison of mRNA-LNP immunization methods with other conventional methods of immunization by number of hybridomas producing target-specific antibodies. In general, these data suggest that mRNA-LNP immunization is an effective method for inducing an immune response to a target protein antigen and for obtaining a higher number/rate of target protein-specific antibodies. In particular, these results confirm that mRNA-LNP immunization is surprisingly more effective than conventional immunization methods for obtaining antibodies specific for transmembrane proteins, e.g., multi-pass transmembrane proteins, such as GPCRs, which are difficult to raise antibodies against, and for poorly immunogenic proteins (e.g., proteins which produce low or no detectable target-specific IgGs in plasma of animals immunized with traditional antigen).

TABLE 19
Number of
Number ofhybridomas
hybridomaproducing
Proteinwellstarget-specific
targetType of proteinscreenedantibodies
RXFP1Multi-pass Transmembrane20240207
protein/GPCR
SLC52A2Multi-pass Transmembrane12880228
protein
ANGPTL8Soluble protein22816542
TSHRTransmembraneTBD130
protein/GPCR
APJTransmembrane22080230
protein/GPCR
GP130Single-pass Transmembrane23920614
protein

TABLE 20
Method of immunization and number of hybridomas producing
target-specific antibodies
Whole Virus-likeProtein/
ProteinType ofmRNA-cellsparticlesCDNApeptide
targetproteinLNP1onlyonlyonlyonly
RXFP1GPCR/20766NDNDND
multi-pass
SLC52A2multi-228NSTNSTNDNST
pass
TSHRGPCR/130NDND42413
multi-pass
APJGPCR/230 94621 ND
multi-pass
1Immunization with mRNA-LNP alone or in combination with another antigen format (e.g., protein/peptide).
2Sanders et al. 2002 Thyroid stimulating monoclonal antibodies Thyroid 12(12): 1043-1050.
3Oda et al. 2000. Epitope analysis of the human thyrotropin (TSH) receptor using monoclonal antibodies. Thyroid 10(12): 1051-1059.
ND—Not determined; antigen format not tested
NST—No specific titers detected. Because no target-specific IgG titers were detectable in plasma, hybridoma generation was not initiated on these groups.

In general, successful generation of hybridomas producing antigen-specific antibodies have been achieved for at least 15 different targets utilizing mRNA-LNP immunization methods as exemplified herein. These results show that the mRNA immunization methods described herein are capable of eliciting an immune response against a wide range of antigens (e.g., transmembrane proteins, for example multi-pass transmembrane proteins, such as GPCRs) in host animals, and are effective methods for producing high affinity monoclonal antibodies, which can serve as parentals for generation of chimeric variants, humanized variants, and affinity matured variants.

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Patent 2024
Animals anti-IgG Antibodies Antigens Binding Proteins Cells Chimera DNA, Complementary Epitopes Galectin 3 Histocompatibility Antigens Class II Homo sapiens Hybridomas Integral Membrane Proteins Lectin Lipids Mice, Inbred BALB C Monoclonal Antibodies Parent Peptides Plasma Proteins Protein Targeting, Cellular Recombinant Proteins Response, Immune RNA, Messenger Soluble Glycoprotein 130 Thyroid Gland Thyrotropin Thyrotropin Receptor Vaccination Viral Proteins
The Jazan Research Ethics Committee of the General Directorate of Health Affairs (Jazan), Ministry of Health, Saudi Arabia, approved the current study, which complies with the Declaration of Helsinki. All participants provided written informed consent. A total of 158 age-matched (30–60 years) male and female subjects were recruited for the current case–control study from King Fahad Central Hospital, the outpatient clinic (control), and the Endocrine and Diabetes Center (hypothyroid patients) in the Jazan area of southwest Saudi Arabia. These subjects were chosen at random from a population of Saudis primarily from the Jazan region. Samples were collected during the period from November 2018 to March 2019. At the time of diagnosis, AHT patients had high levels of thyroid-stimulating hormone and low levels of free thyroxine, as well as anti-thyroid peroxidase and/or anti-thyroglobulin autoantibodies. The healthy control group included subjects who had no history of thyroid or other autoimmune diseases, severe illness, or a chronic inflammatory condition.
Publication 2023
anti-thyroglobulin antibody Autoimmune Diseases Diabetes Mellitus Diagnosis Disease, Chronic Ethics Committees, Research Healthy Volunteers Hypothyroidism Inflammation Iodide Peroxidase Males Patients System, Endocrine Thyroid Gland Thyrotropin Thyroxine Woman

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Publication 2023
Arteries brusatol celastrol Internal Carotid Arteries Mice, House Middle Cerebral Artery Middle Cerebral Artery Occlusion Operative Surgical Procedures physiology Reperfusion Saline Solution Sevoflurane Thyroid Gland
We assessed differences in metabolic disturbances, clinical symptoms, and thyroid dysfunction between MDD patients with and without SA by chi-square test, Fisher’s exact test, and Whitney U test, as appropriate. Bonferroni correction was employed for multiple testing (p’=0.05/40 = 0.00125). A multiple logistic regression model was conducted to identify independent correlates of SA. Variables with P < 0.05 in univariate tests were included in the multiple logistic regression analysis using the stepwise method.
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Publication 2023
Patients Thyroid Gland
Blood samples were collected in the morning after an overnight fast before participants received any medical treatment. Serum levels of free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH), antithyroglobulin (TgAb), thyroid peroxidase antibody (TPOAb), TC, TG, high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and glucose were assessed. Lipid markers (TC, TG, HDL-C, LDL-C) and glucose were measured on a Cobas E610 (Roche, Basel, Switzerland). Thyroid hormones were assayed on a Roche C6000 Electrochemiluminescence Immunoassay Analyzer (Roche Diagnostics, Indianapolis, IN, USA). Measurements were conducted in the laboratory of the First Hospital, Shanxi Medical University. The nurses measured the patients’ weight, height, and blood pressure. We calculated body mass index (BMI) according to the following formula: BMI = Weight (kg)/Height (m) 2.
According to previous studies in the Chinese population (38 (link), 39 (link)), metabolic disturbances and thyroid dysfunction were defined as follows: (1) overweight or obesity: BMI≥24; (2) hyperglycemia: glucose≥6.1mmol/L; (3) hypertension: SBP≥140 mmHg and/or DBP≥90mmHg; (4) hypertriglyceridemia: TG≥2.3 mmol/L; (5) low HDL: HDL-C ≤ 1.0 mmol/L; (6) hypercholesterolemia: TC≥6.2 mmol/L or LDL-C≥4.1 mmol/L; (7)abnormal TgAb: TgAb≥115 IU/L; (8) abnormal TPOAb: TPOAb ≥34 IU/L; (9) subclinical hypothyroidism (SCH): TSH >4.2 mIU/L with normal fT4 concentration (10–23 pmol/L); (10) hyperthyroidism: TSH<0.27 mIU/L and FT4 >23 pmol/L, and (11) hypothyroidism: TSH >4.2 mIU/L with low FT4 concentration (<10 pmol/L).
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Publication 2023
anti-thyroglobulin antibody BLOOD Blood Pressure Chinese Diagnosis Glucose High Blood Pressures high density lipoprotein-1 High Density Lipoproteins Hypercholesterolemia Hyperglycemia Hyperthyroidism Hypertriglyceridemia Hypothyroidism Immunoassay Index, Body Mass LDL-1 Liothyronine Lipids Low-Density Lipoproteins Nurses Obesity Patients Serum Thyroid Gland Thyroid Hormones thyroid microsomal antibodies Thyrotropin Thyroxine

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Nthy-ori 3-1 is a human thyroid cell line derived from normal thyroid tissue. It is a widely-used in vitro model for studying thyroid cell biology and function.
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More about "Thyroid Gland"

The thyroid gland is a small, butterfly-shaped endocrine organ located in the neck.
It plays a vital role in regulating essential bodily functions, such as metabolism, growth, and development.
This pea-sized gland produces hormones that are crucial for maintaining overall health and well-being.
Researchers studying the thyroid gland can optimize their research by utilizing PubCompare.ai, a leading AI-driven platform for comparing and improving research protocols.
This innovative tool helps scientists easily locate the best protocols from literature, pre-prints, and patents, using advanced AI-powered comparisons.
By identifying the most effective protocols and products, researchers can accelerate their thyroid gland research and unlock new discoveries to improve our understanding of this important gland.
When conducting thyroid gland studies, researchers may utilize various cell culture media and reagents, such as FBS, RPMI 1640 medium, DMEM, and TRIzol reagent.
These tools are essential for maintaining and analyzing thyroid cell lines, such as TPC-1 and Nthy-ori 3-1.
Additionally, antibiotics like Penicillin and Streptomycin are commonly used to prevent bacterial contamination in cell culture experiments.
By leveraging the power of PubCompare.ai, researchers can streamline their thyroid gland research, identify the most effective protocols, and accelerate their discoveries to enhance our understanding of this critical endocrine organ.
Optimizing research workflows and utilizing the right tools and reagents can lead to breakthroughs in thyroid gland biology and pave the way for advancements in thyroid-related health conditions.