There is increasing interest in gene expression analysis of either single cells or limited numbers of cells. One such application is the analysis of harvested circulating tumour cells (CTCs), which are often present in very low numbers. A highly efficient protocol for RNA extraction, which involves a minimal number of steps to avoid RNA loss, is essential for low input cell numbers. We compared several lysis solutions that enable reverse transcription (RT) to be performed directly on the cell lysate, offering a simple rapid approach to minimise RNA loss for RT. The lysis solutions were assessed by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in low cell numbers isolated from four breast cancer cell lines. We found that a lysis solution containing both the non-ionic detergent (IGEPAL CA-630, chemically equivalent to Nonidet P-40 or NP-40) and bovine serum albumin (BSA) gave the best RT-qPCR yield. This direct lysis to reverse transcription protocol outperformed a column-based extraction method using a commercial kit. This study demonstrates a simple, reliable, time- and cost-effective method that can be widely used in any situation where RNA needs to be prepared from low to very low cell numbers.
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http://dx.doi.org/10.1038/srep12859 | DOI Listing |
Cell Commun Signal
January 2025
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Road II, Shanghai, 200025, China.
Receptor activator of nuclear factor kappa-B ligand (RANKL) initiates a complex signaling cascade that is crucial for inducing osteoclast differentiation and activation. RANKL-induced signaling has been analyzed in detail, and the involvement of TNF receptor-associated factor 6 (TRAF6), calmodulin-dependent protein kinase (CaMK), NF-κB, mitogen-activated protein kinase (MAPK), activator protein-1 (AP-1), and molecules that contain an immunoreceptor tyrosine-based activation motif (ITAM) has been reported. However, the precise molecular steps that regulate RANKL signaling remain largely unknown.
View Article and Find Full Text PDFMol Cancer
January 2025
Department of Cell Biology, Physiology, and Immunology, University of Córdoba, CIBER Pathophysiology of Obesity and Nutrition (CIBERobn), Córdoba, 14004, Spain.
Background: Hepatocellular carcinoma (HCC) genetic/transcriptomic signatures have been widely described. However, its proteomic characterization is incomplete. We performed non-targeted quantitative proteomics of HCC samples and explored its clinical, functional, and molecular consequences.
View Article and Find Full Text PDFWorld J Surg Oncol
January 2025
General Department, Chongqing University Cancer Hospital, Shapingba District, Chongqing, 12-24-6, Caixin Shabin City, 400030, China.
Objective: To observe the clinical efficacy of TPO receptor agonists and platelet transfusion in chemotherapy-induced thrombocytopenia in malignant tumors.
Methods: Clinical data from 120 patients with malignant tumors who developed thrombocytopenia following chemotherapy at our hospital were retrospectively collected and randomly divided into three groups: A, B, and C, with 40 patients in each group. Group A was treated with a TPO receptor agonist (avatrombopag), group B received autologous platelet transfusion, and group C received a combination of both treatments.
BMC Infect Dis
January 2025
Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Background: Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia.
Methods: Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.
Sci Rep
January 2025
Nantong University Hospital, Nantong, Jiangsu, People's Republic of China.
Sepsis is a severe infectious disease with high mortality. However, the indicators used to evaluate its severity and prognosis are relatively complicated. The systemic inflammatory response index (SIRI), a new inflammatory indicator, has shown good predictive value in chronic infection, stroke, and cancer.
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