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PER1 protein, human

PER1 protein is a key component of the circadian clock, playing a crucial role in regulating the body's internal timekeeping system.
This protein is involved in the generation and maintenance of 24-hour rhythms in physiological processes, such as sleep-wake cycles, hormone release, and metabolism.
PER1 expression is tightly controlled and oscillates in a circadian manner, with peaks and troughs corresponding to the day-night cycle.
Disruptions in PER1 function have been linked to various health conditions, including sleep disorders, mood disorders, and metabolic diseases.
Researchers studying PER1 protein can optimize their research using AI-driven tools like PubCompare.ai, which help identify the most effective protocols and products for PER1 studies, enhancing reproducibility and accuracy.
By exploring PubCompare.ai, researchers can take their PER1 protein research to new heigts.

Most cited protocols related to «PER1 protein, human»

The Ambion(textregistered) External RNA Controls Consortium (ERCC) spike-in control includes 92 spike-in transcripts, which are spiked in difference concentrations in each of the two mixes (Mix 1 and Mix 2) (http://www.lifetechnologies.com, 2013). The transcripts in these two mixes are present at defined Mix 1:Mix 2 molar concentration ratios, described by four subgroups (log fold changes of 2, 0, −0.58 and −1, respectively). Each group contains 23 transcripts spanning a 106-fold concentration range, with approximately the same transcript size and GC content. The median length of the spike-in transcript sequence is 994 bp.
The ERCC spike-in control sequencing data used in this study were created as part of the SEQC study. Mix 1 and Mix 2 were pooled with SEQC sample A (UHRR) and sample B (HBRR), respectively, before library preparation was performed. Spike-in transcript sequences were combined with human genome so that a hybrid index can be built by each aligner. Spike-in reads and human reads were then mapped to the hybrid index.
To compute fold changes for each spike-in transcript, read counts were normalized by total number of mapped spike-in reads and by the transcript length (reads per 1 kb transcript per 10 000 mapped spike-in reads). An offset count of 0.5 was added to the raw read counts to avoid taking the log of zero.
Publication 2013
DNA Library Genome, Human Homo sapiens Hybrids Molar PER1 protein, human

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Publication 2010
Central American People Hispanics Households Hypochondroplasia Latinos PER1 protein, human Population at Risk Puerto Ricans
Bias was assessed as the median of the difference between measured GFR and estimated GFR, and precision was assessed as the interquartile range for the difference.3 (link),13 (link) Accuracy was assessed as the root-mean-square error and as the percentage of estimates that differed by more than 30% from the measured GFR (1 – P30) or by more than 20% (1 – P20). Confidence intervals were calculated by means of bootstrap methods (2000 bootstraps).14 The significance of the differences among equations was determined with the use of the signed-rank test for bias, the bootstrap method for the interquartile range and root-mean-square error from the 2000 bootstrap samples, and McNemar’s test for 1 – P30 and 1 – P20.
We evaluated the use of the new equations for the classification of chronic kidney disease in the external-validation population by means of the net reclassification index statistic.15 (link) We compared the proportion of participants who were reclassified as having a measured GFR that was less than 60 ml per minute per 1.73 m2 or greater than or equal to 60 ml per minute per 1.73 m2 on the basis of the new equations versus the CKD-EPI creatinine equation for the overall population and for subgroups according to age, sex, diabetes status, body-mass index, and a creatinine-based estimated GFR of 30 to 89, 45 to 74, 60 to 74, and 45 to 59 ml per minute per 1.73 m2. We performed similar analyses for reclassification based on a measured GFR of 90, 75, 45, 30, and 15 ml per minute per 1.73 m2. Analyses were performed with the use of R, version 2.9.2 (R Development Core Team), and SAS, version 9.2 (SAS Institute), software.
Publication 2012
Creatinine Diabetes Mellitus Index, Body Mass PER1 protein, human Tooth Root

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Publication 2010
Cholesterol, beta-Lipoprotein Genetic Heterogeneity Hydroxymethylglutaryl-CoA Reductase Inhibitors Lipids Patients PER1 protein, human Treatment Protocols
Whereas the Warp model for a movie or tilt series describes the non-linear deformation of the entire particle ensemble and its environment, it is unclear whether this deformation gradient stays continuous throughout a single particle, i. e. if the protein structure is subject to the same compression and shearing as the ice around it. Many recent high-resolution maps were reconstructed using particles extracted from dose-weighted averages produced by MotionCor29 (link). The tool assumes the deformation gradient to be continuous in all parts of the image, and will thus deform images of particles and ice in the same way. This will be beneficial if the underlying physical model is indeed continuous. However, it also distorts the CTF locally without passing any knowledge of the distortion to downstream processing tools. In case of a strong local change in the motion direction, this will result in an artifact similar to lens astigmatism.
Warp assumes a continuous deformation field when exporting dose-weighted averages of whole 2D movies, i. e. each pixel will be shifted according to the grid interpolants at that exact position. This has the benefit of uniformly sharper images for visual inspection and particle picking. For particle and sub-tomogram extraction, however, the entire particle image will be shifted uniformly according to the grid interpolants at the particle’s center. This keeps the CTF true to its fitted analytical description, but makes the assumption that the protein is more rigid than the surrounding ice and thus deforms less due to BIM. For whole-tomogram reconstruction, a hybrid approach is pursued: the local volumes are produced using the same procedure as sub-tomogram extraction, but the combined volume is largely continuous depending on how small the local volumes were.
Dose weighting in Warp adds a B-factor of -4 Å2 per 1 e-/Å2 of dose, similar to a heuristic published previously7 . While a different heuristic is used in MotionCor29 (link) and Unblur7 , the accuracy of both approaches is of decreased significance as data-driven re-weighting is likely to be performed using an approach like the “particle polishing” in RELION 3.0.
Publication 2019
Complement Factor B Hybrids Lenticular Astigmatism Microtubule-Associated Proteins Muscle Rigidity PER1 protein, human Physical Examination Proteins Reconstructive Surgical Procedures Tomography

Most recents protocols related to «PER1 protein, human»

Not available on PMC !

Example 2

The hair used was dark brown European hair, in switches of 5 g weight and 6 inch length.

The hair was treated with Composition A as follows:—

Hair was first treated with a cleansing shampoo using the following method:—

The hair fibres were held under running water for 30 seconds, shampoo applied at a dose of 0.1 ml of shampoo per 1 g of hair and rubbed into the hair for 30 seconds. Excess lather was removed by holding under running water for 30 seconds and the shampoo stage repeated. The hair was rinsed under running water for 1 minute.

The wet hair was then treated with Conditioner A using the following method:—

Conditioner was applied to the wet hair at a dose of 0.2 ml of conditioner per 1 g of hair and massaged into the hair for 1 minute. The hair was rinsed under running water for 1 minute and excess water removed.

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Patent 2024
ARID1A protein, human Europeans Fibrosis Friction Hair Neoplasm Metastasis PER1 protein, human

Example 25

This experiment was to evaluate the effect of killing cancer cells by treating MDA-MB-231 cells (human breast cancer cells) with the test substance GI-101 alone or in combination with the TGF-beta signal inhibitor Vactosertib substance in an in vitro environment.

MDA-MB-231 cells were purchased from the Korea cell line bank and cultured in RPMI1640 medium (Gibco) containing 10% FBS (Gibco) and 1% antibiotic/antifungal agent (Gibco). For use in cancer cell killing test, the cells were harvested using trypsin (Gibco), and then suspended in RPMI1640 medium, and then dead cells and debris were removed using Ficoll (GE Healthcare Life Sciences) solution. The cells suspended in RPMI1640 medium were carefully layered on ficoll solution. The cell layer with a low specific gravity formed by centrifuging at room temperature at 350×g for 20 minutes was collected with a pipette, washed with PBS (Gibco), and then centrifuged at room temperature at 350×g for 5 minutes. The separated cell layer was made into a suspension of 2×105 cells/mL with FBS-free RPMI1640 medium. The cancer cell suspension was stained at 37° C. for 1 hour using CELLTRACKER™ Deep Red Dye (Thermo) in order to track proliferation or inhibition of the proliferation of cancer cells. After staining, it was centrifuged at 1300 rpm for 5 minutes, and then it was washed with FBS-free RPMI1640 medium, and then suspended in RPMI1640 medium containing 5% human AB serum (Sigma) to a concentration of 2×105 cells/mL. The cancer cell suspension was added to each well of a 96-well microplate (Corning) by 50 μl (1×104 cells), and then stabilized in an incubator (37° C., 5% CO2) for 1 hour.

Human peripheral blood mononuclear cells (PBMCs) were used in order to identify the effect of killing cancer cells by GI-101. The human PBMCs were purchased from Zen-Bio, and the PBMCs stored frozen were placed in a 37° C. water bath, and thawed as quickly as possible, and then transferred to RPMI1640 medium (Gibco) containing 10% FBS (Gibco) and 1% antibiotic/antifungal agent (Gibco), and centrifuged at 1300 rpm for 5 minutes. The separated cell layer was suspended in RPMI1640 medium, and then dead cells and debris were removed using Ficoll (GE Healthcare Life Sciences) solution in the same manner as the cancer cell line. The cells suspended in RPMI1640 medium were carefully layered on ficoll solution. The cell layer with a low specific gravity formed by centrifuging at room temperature at 350×g for 20 minutes was collected with a pipette, washed with PBS (Gibco), and then centrifuged at room temperature at 350×g for 5 minutes. The separated cell layer was suspended in RPMI1640 medium containing 5% human AB serum (Sigma) to a concentration of 5×105 cells/mL. The PBMC suspension was dispensed 50 μl into each well of a 96-well microplate (Corning) in which cancer cell line has been dispensed, depending on the conditions.

In order to identify the effect of killing the cells, a CytoTox Green reagent (INCUCYTE™ CytoTox Green, Satorius) that binds to the DNA of cells to be killed was prepared in 1 μl per 1 mL of RPMI1640 medium containing 5% human AB serum (Sigma). The prepared medium was used for dilution of the test substance, and the effect of killing the cells could be quantitatively identified by staining the cells to be killed when the test substance was co-cultured with cancer cell lines and PBMCs.

Vactosertib power was dissolved in DMSO (Sigma) to a concentration of 48.4 mM, and diluted using RPMI1640 medium containing a CytoTox Green reagent, and then used in the experiment at a final concentration of 12.1 nM (50 μL) per well of a 96-well microplate.

GI-101 was diluted by ⅓ using RPMI1640 medium containing a CytoTox Green reagent, and then used in the experiment at final concentrations of 0.4 nM, 1.2 nM, 3.7 nM, 11.1 nM, 33.3 nM, and 100 nM by 50 μl per well of a 96-well microplate.

The prepared test substance was placed in each well of a 96-well microplate in which cancer cell lines and PBMCs were dispensed depending on the conditions, and cultured in an incubator (37° C., 5% CO2) for 24 hours, and the proliferation or death of cancer cells was observed through the real-time cell imaging analysis equipment IncuCyte S3 (Satorious). The death of cancer cells was quantified by the integrated intensity of the cells stained in green with a CytoTox Green reagent.

As a result, it was identified that the group having received a combination of GI-101 and Vactosertib exhibited the excellent effect of killing cancer cells as compared with the group having received each drug alone.

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Patent 2024
A-101 Antibiotics Antifungal Agents Bath Cell Death Cell Lines Cell Proliferation Cells Ficoll Freezing Gastrointestinal Cancer Homo sapiens Malignant Neoplasms Mammary Carcinoma, Human MCF-7 Cells MDA-MB-231 Cells PBMC Peripheral Blood Mononuclear Cells PER1 protein, human Pharmaceutical Preparations Psychological Inhibition Serum Sulfoxide, Dimethyl Technique, Dilution Transforming Growth Factor beta Trypsin vactosertib
In sections subjected to in situ hybridization using each V1R probe, labeled cells in the lamellae and recesses were counted, and their areas were measured using ImageJ software (https://imagej.nih.gov/ij/) as described previously [28 (link)]. The number of labeled cells in the lamellae or recesses was divided by the respective area to calculate the density of labeled cells for each probe (number of labeled cells per 1 mm2).
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Publication 2023
Cells In Situ Hybridization PER1 protein, human
Three MR analytical methods were conducted to assess the causal effects of constipation on CVD in this study to avoid the influence of potential pleiotropic effects of genetic variants. The primary MR analysis was conducted by the random-effects inverse-variance weighted (IVW) method, which combines the Wald ratio estimates of each SNP on the outcome to gain a pooled causal estimate and provides the highest statistical power. For random-effect IVW, it permits that all the instruments are ineffective on the condition that overall horizontal pleiotropy is balanced (29 (link)). Furthermore, another two MR analyses, weighted median (WM) and MR-Egger, were implemented as complements to detect the causality. The weighted median method can generate unbiased causal estimates on the condition that at least 50% of the weight comes from valid instrumental variables (30 (link)). The MR-Egger method provides consistent estimates accounting for pleiotropy on the condition that all the instruments are invalid, although with the lowest power (31 (link)). Our MR estimates of the risk of CVD were presented as odds ratio (OR, 95% confidence interval [CI]) per-1-log unit increase in the risk of constipation. A two-sided value of p < 0.05 were deemed as suggestive significance and associations with p-values <0.0056 (Bonferroni correction p = 0.05/9 outcomes) were considered statistically significant.
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Publication 2023
Complement System Proteins Constipation Genetic Diversity PER1 protein, human
Frozen liver tissues were homogenised in 400 µl of ice-cold RIPA buffer (10 mM Tris–HCl pH 7.4, 150 mM NaCl, 5 mM EDTA pH 8.0, 1 mM NaF, 0.1% SDS, 1% Triton X-100, 1% Sodium Deoxycholate with freshly added 1 mM NaVO4 and protease inhibitors) using a PowerGen 125 homogeniser and lysates normalised to 1 µg per 1 µl. Proteins were separated on a 4–12% Bis–Tris gel by SDS-PAGE and transferred onto nitrocellulose membrane.
Membranes were probed for the following; phospho-AKT (Ser 473, cat: 4060), total Akt (cat: 4691), phospho-S6 (Ser 235/236, cat: 4858), total S6 (cat: 2217), phospho-AMPK (Thr 172, cat: 2535), total AMPK (cat: 5832) and GAPDH (cat: 5174) (all Cell Signaling Technology), DEGS1 (cat: ab185237, Abcam), RBP4 (Dako), or IR β-chain (Santa Cruz Biotechnology). ApoB 48, ApoB 100 (Meridian Life Sciences UK, cat: K23300R) and Vinculin (Cell Signaling Technology, cat: 13901) were separated on a 6% Tris–Glycine gel. Anti-rabbit and anti-mouse horse radish peroxidase (HRP) conjugated antibodies were from Anaspec. Primary and secondary antibodies were used at 1:1000 and 1:5000 respectively.
Blots used in figures are all compliant with the digital image and integrity policies of Nature publishing and Scientific Reports journal. Western blot membranes were cut at approximate molecular weight (± 20 kDa) of target protein before incubation of primary antibodies. Equal numbers of representative samples from all treatment groups were run on multiple gels/blots to accommodate all samples. Images obtained were minimally processed. Image analysis and quantification with normalisation to loading control protein was performed within the same membrane and then data combined for graphical representation. No direct quantitative comparisons between samples on different gels/blots were performed.
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Publication 2023
Anti-Antibodies Antibodies Apolipoprotein B-48 Apolipoprotein B-100 Bistris Buffers Cold Temperature Deoxycholic Acid, Monosodium Salt Edetic Acid Freezing GAPDH protein, human Gels Glycine Horseradish Peroxidase Liver Meridians Mus Nitrocellulose PER1 protein, human Protease Inhibitors Proteins Protein Targeting, Cellular Rabbits Radioimmunoprecipitation Assay RBP4 protein, human SDS-PAGE Sodium Chloride Tissue, Membrane Tissues Triton X-100 Tromethamine Vinculin Western Blotting

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