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Cyclin D

Cyclin D is a key regulator of the cell cycle, playing a crucial role in the transition from the G1 to S phase.
It forms complexes with and activates cyclin-dependent kinases, driving cell proliferation.
Cyclin D has been implicated in the development and progression of various cancers, making it an important target for research and therapeutic interventions.
Understanding the mechanisms and regulation of Cyclin D can provide valuable insights into the control of cell division and the potential for novel cancer treatments.

Most cited protocols related to «Cyclin D»

Myc, flag, GFP and GST tagged EBNA3C vectors have been described previously [14] (link), [18] (link). pcDNA3-HA-Ub was kindly provided by George Mosialos (Aristotle University of Thessaloniki, Thessaloniki, Greece). Vectors pcDNA3-Cyclin D1, pcDNA3-1x flag-Cyclin D2 and pcDNA3-1x flag-Cyclin D3 were provided by Alan Diehl (University of Pennsylvania School of Medicine, Philadelphia) and used to generate pA3F-Cyclin D by cloning PCR amplified DNA into pA3F vector [4] (link). GST Cyclin D1 vectors were cloned by inserting PCR amplified DNA into pGEX-2TK vector (GE Healthcare Biosciences, Pittsburgh, PA). pGEX-Cyclin D1 (286A) was generated by PCR using pA3F-Cyclin D1 as template. Sh-RNA vector, pGIPZ (Open Biosystems, Inc. Huntsville, AL) and lentiviral packaging vectors were described [38] (link). CDK6 cDNA cloned into pA3F vector was derived from HEK 293 cell RNA that was purified with TRIzol reagent and reverse transcribed with Superscript II (Invitrogen, Inc., Carlsbad, CA). Mouse antibodies to Cyclin D1 (DSC-6) and Sp1 (1C6), and rabbit antibody to Ub (FL-76) were from Santa Cruz Biotechnology, Inc (Santa Cruz, CA). Rabbit antibodies to Cyclin D2 and D3 were kindly provided by Alan Diehl (University of Pennsylvania School of Medicine, Philadelphia). Mouse antibodies to flag-epitope (M2) was from Sigma-Aldrich Corp. (St. Louis, MO) and to GAPDH was from US-Biological Corp. (Swampscott, MA). Antibodies to HA-epitope (12CA5) or Myc-epitope (9E10) were prepared from cell culture supernatants as described [14] (link), [18] (link). Mouse (A10) or rabbit antibody to EBNA3C were described [14] (link), [18] (link).
HEK 293, 293T and Saos-2 (p53-/- pRb-/-) cells were obtained from Jon Aster (Brigham and Women's Hospital, Boston, MA, USA). Saos-2 and U2OS are human osteosarcoma cell line [39] (link). HEK 293, HEK 293T, U2OS, and Saos-2 cells were grown in Dulbecco's modified Eagle's medium (DMEM; HyClone, Logan, UT) supplemented with 10% fetal bovine serum (FBS; HyClone, Logan, UT), 50 U/ml penicillin (HyClone, Logan, UT), 50 µg/ml streptomycin (HyClone, Logan, UT) and 2 mM L-glutamine (HyClone, Logan, UT). BL lines BJAB, Ramos, BL41 and B95.8 infected BL41 (BL41/B95.8) were kindly provided by Elliott Kieff (Harvard Medical School, Boston, MA). MutuI, MutuIII were provided by Yan Yuan (School of Dental Medicine, University of Pennsylvania, Philadelphia, PA). These BL lines and LCL1 and LCL2 were maintained in RPMI 1640 (HyClone, Logan, UT) supplemented as described above. EBNA3C expressing BJAB lines were described [14] (link), [18] (link). Unless otherwise stated all cultures were incubated at 37°C in a humidified environment supplemented with 5% CO2.
Adherent cells were transfected by electroporation with a Bio-Rad Gene Pulser II electroporator as described [14] (link), [18] (link).
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Publication 2011
Antibodies Aster Plant Biopharmaceuticals CCND1 protein, human CDK6 protein, human Cell Culture Techniques Cell Lines Cells Cloning Vectors Cyclin D Cyclin D2 Cyclin D3 DNA, Complementary Electroporation Epitopes GAPDH protein, human Genes Glutamine HEK293 Cells Homo sapiens Immunoglobulins Mus Osteosarcoma Ovalocytosis, Malaysian-Melanesian-Filipino Type Penicillins Pharmaceutical Preparations Pharmaceutical Preparations, Dental Rabbits Streptomycin trizol
Cancer cells were treated with these agents or DMSO for 24 hours. For Interferon-α (IFNα) and interleukin-6 (IL-6) treatments, MDA-MB-453 breast cancer cells were serum starved for 24 hours. The cells were pre-treated with FLLL32 (10 µM) for 2 hours and 50 ng/ml of IFNα or IL-6 was then added for 30 minutes before the cells were collected. Membranes were probed with a 1:1000 dilution of antibodies (Cell Signaling Tech.) against phospho-specific STAT3 (hereafter referred to as P-STAT3) (Tyrosine 705), ERK1/2 (Threonine 202/Tyrosine 204), AKT (Serine473), EGFR (Tyrosine1068), P70S6K (Threonine389), PKC-δ (Threonine505), Src (Tyrosine 416), mTOR (Serine 2448), cleaved Poly (ADP-ribose) polymerase (PARP), cleaved caspase-3, cyclin D, Bcl-2, survivin, and GAPDH. Membranes were analyzed using enhanced chemiluminescence Plus reagents and scanned with the Storm Scanner (Amersham Pharmacia Biotech Inc). Integrated densities of the P-STAT3 (Y705), STAT3, cleaved caspase-3, and GAPDH bands in Western blots were quantified using ImageJ software. The integrated densities of the P-STAT3, STAT3, and cleaved caspase-3 bands were individually normalized to GAPDH band in each cancer cell line using ImageJ software. The relatively reduced or increased levels of P-STAT3, STAT3, and cleaved caspase-3 were compared with the DMSO control, which was set as 1.00.
Publication 2010
Antibodies BCL2 protein, human Caspase 3 Cell Lines Cells Chemiluminescence Cyclin D EGFR protein, human FLLL 32 FRAP1 protein, human GAPDH protein, human Interferon-alpha Interleukin-6 Malignant Neoplasm of Breast Malignant Neoplasms Mitogen-Activated Protein Kinase 3 PARP1 protein, human Ribosomal Protein S6 Kinases, 70-kDa Serine Serum STAT3 protein, human Sulfoxide, Dimethyl Survivin Technique, Dilution Threonine Tissue, Membrane Tyrosine Western Blot
A search of the Oncomine database (http://www.oncomine.com) (34 (link)) was initially conducted to systematically assess the expression level of the CCND1, CCND2 and CCND3 genes in gastric cancer. For this, normal vs. cancer tissues were compared in the differential analysis. The results were analyzed for their P-values, fold change and cancer subtype. The prognostic value of the CCND1, CCND2 and CCND3 genes in gastric cancer was also analyzed using the Kaplan-Meier Plotter (http://kmplot.com/analysis/), as described previously (35 (link)). The following settings were used for the analysis: ‘Overall survival’; ‘progression-free survival’; ‘autoselect best cutoff’; ‘censore at threshold all’ (patients surviving over the selected threshold are censored instead of excluded); ‘tumor stage all’; ‘tumor stage T all’; ‘tumor stage N all’; ‘tumor stage M all’; ‘grade all’; ‘Lauren classification all’ (2 (link)); ‘differentiation all’; and ‘moderate and poor differentiation’. Tumors were classified according to WHO histopathological type (36 (link)). Three cyclin D genes probe sets were available: 208712_at at CCND1, 200953_s_at at CCND2 and 201700_at at CCND3, and patients were split according to median expression or to expression at best cut-off for each probe. A total of 1,065 patients with gastric cancer were assessed using a Kaplan-Meier plot (36 (link)) and HER2 status was identified using the gene chip probe set 216836_s_at, as previously described (37 (link)). The hazard ratio (HR) 95% confidence intervals and logrank P-values were calculated and described. P<0.05 was considered to indicate a statistically significant difference. The data were extracted from the Oncomine database and Kaplan-Meier Plotter between March 2015 and August 2015. Finally, the association between CCND1 protein expression, assessed according to previously published protocols (30 (link),38 (link)) (CCND1/β-actin ratio), and differentiation type (moderate and poor differentiation) in fresh specimens derived from patients with gastric adenocarcinoma was assessed using the Student's t-test. The statistical differences between two groups were assessed, and P<0.05 was considered to indicate a statistically significant difference. Statistical analysis was performed using GraphPad Prism 5 (GraphPad Software, Inc., La Jolla, CA, USA).
Publication 2017
Actins Adenocarcinoma CCND1 protein, human CCND2 protein, human Cyclin D Cyclin D1 ERBB2 protein, human Gastric Cancer Gene, Cancer Gene Chips Genes Malignant Neoplasms Neoplasms Oncogenes Patients prisma Stomach Tissues
The monoclonal or polyclonal antibodies against cyclin A, cyclin B, cyclin C, cyclin D, cyclin E, CDK2, CDK4, CDK6, p16, p18 and p27 were purchased from Santa Cruz Biotechnology. The monoclonal antibodies against p21 and p57 were obtained from BD Biosciences. Horseradish peroxidase-conjugated goat anti-mouse IgG and horseradish peroxidase-conjugated goat anti-rabbit IgG were obtained from Bio-Rad. RNA and DNA extract kits, RNA RT and polymerase chain reaction (PCR) kits were obtained from Qiagen. NorthernMAX kit was from Ambion. Immunoblotting was performed using the Enhanced chemiluminescence (ECL) western blot detection kit (Amersham Biosciences). Biotin Chromogenic Detection kit was from Thermo Scientific. Protein A-Sepharose 4B Conjugate and Dynabeads MyOne Streptavidin C1 magnetic beads were obtained from Invitrogen. The cell lines used in this study were from American Type Culture Collection (ATCC).
Publication 2016
anti-IgG Antibodies azo rubin S Biotin CCNC protein, human CCNE1 protein, human CDK2 protein, human CDK6 protein, human Cell Lines Chemiluminescence Cyclin A Cyclin B Cyclin D Goat Horseradish Peroxidase Monoclonal Antibodies Mus Polymerase Chain Reaction Rabbits Staphylococcal protein A-sepharose Streptavidin Western Blotting
SPAG9 siRNA or scrambled siRNA transfected UM-UC-3 cells were harvested and fixed in chilled 70% ethanol for 1 h, stained with propidium iodide (PI; 18 µg/ml) containing 400 µg/ml RNaseA with shaking for 1 h, and analyzed by flow cytometry for cell cycle profile. The SPAG9 siRNA induced G0–G1 arrest was characterized by probing the SPAG9 siRNA transfected UM-UC-3 cell lysate with antibodies against cyclin B, cyclin D, cyclin E, p16, p21, CDK1 and CDK4. Antibodies against β-actin, cyclin B, cyclin D, cyclin E, p16 and p21 were purchased from Santa Cruz Biotechnology, Inc. (Santa Cruz, CA). Antibodies against CDK1 and CDK4 were procured from Abcam (Cambridge, MA). All experiments were done at least thrice in duplicates.
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Publication 2013
Actins Antibodies CDK1 protein, human Cell Cycle Cells Cyclin B Cyclin D Cyclin E Ethanol Flow Cytometry Propidium Iodide RNA, Small Interfering

Most recents protocols related to «Cyclin D»

Example 7

In order to provide a more readily available and reproducible cell system (and to avoid the problems seen with existing methods), experimental systems based on tissue culture cell lines may be utilized to monitor the impact of drugs on signaling pathways.

Flow cytometric methods using tissue culture cells have been routinely used for investigating the effects of drugs, for example, inhibitors of Bcr/Abl kinase that are useful in the therapy of chronic myeloid leukemia (CML). CML is associated with the Philadelphia chromosome, a genetic translocation that fuses the Abl1 gene on chromosome 9 with part of the BCR gene on chromosome 22. The resulting fusion protein contains a receptor tyrosine kinase that constitutively activates several downstream signaling pathways, including P-STAT5, P-Crkl, P-mTOR, and P—HSF. The Abl kinase is the target of several therapeutics currently used clinically, including imatinib (GLEEVEC™), nilotinib, and dasatinib. These compounds act by inhibiting the tyrosine kinase activity at the receptor level, and also concomitantly inhibit all downstream signaling pathways.

As a representative model of CML, human K562 cell line, which expresses the Bcr/Abl fusion protein and constitutively phosphorylates the downstream STAT5 target (Cytometry 54A; 75-88, 2003), was used in the following experiment. As shown in FIG. 10, treatment of K562 cells for 30 min with 2 μM GLEEVEC™ (imatinib, or STI571) results in >95% inhibition of the phosphorylation of the downstream STAT5 target. Also, as shown in FIG. 10, although the phosphorylation of STAT5 is inhibited after 30 min imatinib exposure, there is no change in the cell cycle, as measured by DNA content.

Phosphorylated STAT5 (P-STAT5) acts as a transcriptional activator of several target proteins, including Cyclin D. Constitutive expression of Cyclin D (induced by P-STAT5) maintains K562 cells in cell cycle. It was found that exposure to imatinib for 24 hr decreases S-phase (as a marker of cell proliferation) by ˜50%, and further exposure to imatinib for an additional 24 hr decreases S-phase by an additional 50-70% (data not shown).

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Patent 2024
Cell Culture Techniques Cell Cycle Cell Lines Cell Proliferation Cells Chromosomes, Human, Pair 9 Chromosomes, Human, Pair 22 CRKL protein Cyclin D Cyclins Dasatinib Flow Cytometry FRAP1 protein, human Fusion Proteins, bcr-abl Genes Gleevec Homo sapiens Imatinib inhibitors K562 Cells Leukemias, Chronic Granulocytic nilotinib Pharmaceutical Preparations Philadelphia Chromosome Phosphorylation Phosphotransferases Proteins Protein Targeting, Cellular Psychological Inhibition Receptor Protein-Tyrosine Kinases SERPINA3 protein, human Signal Transduction Pathways Staphylococcal Protein A STAT5A protein, human STI571 Tissues Transcription, Genetic Translocation, Chromosomal Vision
Quantitative real time polymerase chain reaction (qRTPCR) was used to study the effect of Tritticum spelta and Salix mucronata plant extract on p53, BCL2, Cyclin D, MMP9 and VEGF gene expression. Total RNAs were extracted from the untreated and the treated HepG2 and Caco-2 cancer cell lines using Gene JET RNA Purification Kit (Thermo Scientific, USA). Then cDNA was synthesized utilizing cDNA Synthesis Kit (Thermo Scientific, USA). Real time PCR was performed using SYBR green master mix and specific primers which are shown in Table 1 in supplementary materials. The 2−ΔΔCT equation was used to calculate the change in gene expressions in the treated cancer cells relative to untreated cancer cells. The expression of target genes was calculated using the comparative Ct method (threshold cycle number at cross-point between amplification plot and threshold). The CT values of each target gene were normalized to that of β-actin according to manufacturer’s instructions and the change in expression (2−ΔΔCT) was calculated.
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Publication 2023
Actins Anabolism BCL2 protein, human Caco-2 Cells Cells Cyclin D DNA, Complementary Gene Expression Genes Malignant Neoplasms MMP9 protein, human Oligonucleotide Primers Plant Extracts Real-Time Polymerase Chain Reaction SYBR Green I Vascular Endothelial Growth Factors Willow
Folin–Ciocalteau reagent, gallic acid (GA), rutin (RU), sulfanilamide, naphthylethylenediamine dihydrochloride, Diphenyl–α-picrylhydrazyl (DPPH), nitroblue tetrazolium (NBT), riboflavin, and vitamin C were supplied from Riedel-de Haën, Germany. DMEM medium and fetal bovine serum (FBS) were obtained from Lonza (USA). Other chemicals were obtained with a high grade from Sigma-Aldrich (St. Louis, MO, USA). Primers for P53, BCL2, Cyclin D, MMP9 and VEGF were purchased from Bioneer, Korea as shown in Table 1 in supplementary materials.
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Publication 2023
Ascorbic Acid BCL2 protein, human Cyclin D diphenyl Fetal Bovine Serum Folin-Ciocalteau reagent Gallic Acid MMP9 protein, human Nitroblue Tetrazolium Oligonucleotide Primers Riboflavin Rutin Sulfanilamide Vascular Endothelial Growth Factors
mRNA gene expression of TG isoforms (TG1, TG2, TG3, TG4, TG6), profibrotic markers [collagen 1A1 (COL 1A1), collagen 3A1 (COL 3A1), fibronectin 1 (FN 1), α-smooth muscle actin (α-SMA), connective tissue growth factor (CTGF), transforming growth factor β1 (TGF-β1), matrix metalloproteinases 2 and 9 (MMP-2 and MMP-9), periostin and connexin 43 (CX 43)], proliferation markers [cyclins D1 and E2 (CCND 1 and CCNE 2)], and apoptotic markers [B-cell lymphoma 2 (BCL-2) and BCL-2-associated X protein (BAX)] were determined as described by Duong et al. [25 (link)]. Transfected cardiomyocytes and fibroblasts were collected in TRIzol reagent (Zymo Research, Irvine, CA, USA) to extract the total RNA, which was purified using a Direct-zol RNA MiniPrep kit (Zymo Research, USA). Quantification and qualification of RNA were assessed using a NanoDrop™ 2000 spectrophotometer (Thermo Fisher Scientific, Wilmington, USA).
Complementary DNA (cDNA) was synthesized from 250 ng of total RNA using a High Capacity cDNA Reverse Transcription Kit supplied by Applied Biosystems (Foster City, CA, USA), USA). RT-qPCR was performed with a PreAmp Master Mix (Takara Bio Inc., Shiga, Japan) and TaqMan Universal PCR Master Mix (Applied Biosystems). Custom-designed primers for α-SMA, CTGF, TGF-β1, MMP-2, MMP-9, periostin, CX 43, CCND 1, CCNE 2, BAX, BCL-2, and β2 microglobulin (S1 Table) were purchased from Integrated DNA Technologies (Coralville, IA, USA). TaqMan probes for TG1 (assay ID Rn00581408_m1), TG2 (Rn00571440_m1), TG3 (Rn01513750_m1), TG4 (Rn00575599_m1), TG6 (Rn01747645_m1), COL 1A1 (Rn01463848_m1), COL 3A1 (Rn01437681_m1), and FN 1 (Rn00569575_m1) were supplied by Applied Biosystems (Foster City, CA, USA). mRNA expression levels were normalized to the internal standard β2 microglobulin according to the proportional threshold cycle (2-ΔΔCt) method proposed by Livak and Schmittgen [28 (link)]. The obtained values were expressed as relative to the value obtained for the control (NegSiRNA) to show the change of gene expression relative to the control.
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Publication 2023
Actins Apoptosis B-Cell Lymphomas Biological Assay CCNE2 protein, human Collagen Connective Tissue Growth Factor Cyclin D Cyclin E DNA, Complementary Fibroblasts FN1 protein, human Gene Expression GJA1 protein, human Messenger RNA Isoforms MMP2 protein, human MMP9 protein, human Myocytes, Cardiac Oligonucleotide Primers POSTN protein, human Proteins Reverse Transcription RNA, Messenger Smooth Muscles TGF-beta1 trizol
To study the coevolution between the two gene families, the phylogenetic trees of cyclins and CDKs and their associations are needed. Jane 4 [170 (link)] and Treemap 3 [174 (link)], two programs designed for studying coevolution between hosts and parasites, were used to reconstruct the co-phylogeny of the two gene families. This example uses the cyclin/CDK associations from a publication on the evolution of the Cyclin and CDK families [195 (link)].
The co-phylogenies of cyclins and CDKs are presented in Fig 6. These figures retrace the evolutionary history of cyclins and CDKs. Several coevolution events were identified, including co-speciation, duplication, duplication with interaction switch, loss of interaction, and numerous failures to diverge, for example the duplication of Cyclins L1 and L2 without a duplication in CDK9 (Fig 6A). Significant co-evolution events are identified by both programs, such as between the 3 Cyclin D paralogues and the CDK4 and CDK6 cluster, and between Cyclins A, B, D and E and CDK 1, 2, 3, 4, 6, 14 and 16 (Fig 6A and 6B).
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Publication 2023
Biological Evolution CDK6 protein, human CDK9 protein, human Cyclin A Cyclin D Cyclins Genes Parasites

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Cyclin D is a protein that plays a key role in the regulation of the cell cycle. It is involved in the transition from the G1 phase to the S phase of the cell cycle, which is the phase where DNA replication occurs. Cyclin D functions by forming a complex with cyclin-dependent kinases (CDKs) and regulating their activity, which is essential for cell cycle progression.
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Cyclin E is a protein that plays a crucial role in regulating the cell cycle, specifically the transition from the G1 phase to the S phase. It functions as a regulatory subunit of cyclin-dependent kinase 2 (CDK2), forming a complex that is essential for the initiation and progression of DNA replication.
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Cyclin D is a critical regulator of the cell cycle. It binds to and activates cyclin-dependent kinases, promoting cell cycle progression from G1 to S phase.
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Cyclin D is a protein involved in the regulation of the cell cycle. It plays a crucial role in the transition from the G1 phase to the S phase of the cell cycle. Cyclin D associates with and activates cyclin-dependent kinases, which are responsible for the phosphorylation of various target proteins that control cell cycle progression.
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Bcl-2 is a protein that plays a key role in regulating apoptosis, or programmed cell death. It functions as an anti-apoptotic protein, helping to prevent cell death by inhibiting the activity of pro-apoptotic proteins.
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Cyclin E is a cell cycle regulatory protein that plays a crucial role in the transition from the G1 phase to the S phase of the cell cycle. It is an essential component of the cell's machinery for DNA replication and cell division.
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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.
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β-actin is a cytoskeletal protein that is ubiquitously expressed in eukaryotic cells. It is an important component of the microfilament system and is involved in various cellular processes such as cell motility, structure, and integrity.

More about "Cyclin D"

Cyclin D, a crucial regulator of the cell cycle, plays a vital role in the transition from G1 to S phase.
It forms complexes with and activates cyclin-dependent kinases (CDKs), driving cellular proliferation.
This key protein has been implicated in the development and progression of various cancers, making it an important target for research and therapeutic interventions.
Cyclin E, another cell cycle regulator, also plays a crucial role in cell cycle progression.
Cyclin D and Cyclin E work in tandem to ensure proper cell division and proliferation.
Understanding the mechanisms and regulation of these cyclins can provide invaluable insights into the control of cell division and the potential for novel cancer treatments.
In addition to cyclins, other important factors in cell cycle regulation and cancer research include PVDF membranes, Bcl-2 (an anti-apoptotic protein), protease inhibitor cocktails, and TRIzol reagent (for RNA extraction).
These tools and reagents are commonly used in Cyclin D and Cyclin E research, as well as in the broader field of cell biology and cancer biology.
Utilizing the latest advancements in AI-driven research platforms, such as PubCompare.ai, can enhance the reproducibility and accuracy of Cyclin D studies.
These platforms can help researchers easily locate relevant protocols from literature, pre-prints, and patents, while intelligent comparisons can assist in identifying the best protocols and products for their research needs.
Streamlining workflows and optimizing research processes can lead to more efficient and impactful discoveries in the field of Cyclin D and cell cycle regulation.
By combining the insights gained from the MeSH term description and the metadescription, researchers can delve deeper into the fascinating world of Cyclin D and its role in cell cycle regulation and cancer development.
With the help of cutting-edge tools and a comprehensive understanding of the key related terms and concepts, researchers can push the boundaries of scientific knowledge and contribute to advancements in cancer research and treatment.