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Focusing on cutting-edge technologies and research advancements, sharing Aniphe BioLab’s achievements in scientific innovation, Professional insights and practical experience in the fields of laboratory animals and preclinical research.
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2026-10-29
Naming Genetically Engineered Mice (Part II): From Being Understandable to Being Written Correctly
How should a multi-disease composite mouse model be constructed? Let’s take a look at the CKM approach.
2026-08-12
2026 CKM Guidelines Released: Chronic Diseases Enter the Era of Integrated Cardiorenal-Metabolic Management—It’s Time to Rethink Animal Models
A Guide to Safe Mouse Handling | Manual on Mouse Transport Protocols and Troubleshooting
2026/10/29
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2026/08/12
The endocrinology department manages blood glucose, the nephrology department handles proteinuria, the cardiology department oversees blood pressure and atherosclerotic plaques, and the obesity clinic focuses on weight management. Over the past few decades, we have tended to compartmentalize each patient into discrete disease modules, with each specialty addressing only one segment. Yet in reality, disease progression does not conform to departmental boundaries. In this patient, obesity, insulin resistance, hypertension, renal impairment, and cardiovascular risk are, at their core, distinct links in a single pathological cascade—driving one another and amplifying each other.
From order placement and inventory preparation to shipment and customer receipt, the transportation of laboratory animals remains a critical aspect of our operations. Unlike ordinary commodities, laboratory animals are subject to a wide range of factors during transit, including distance, weather conditions, temperature, stress, as well as the animals’ age and physiological state.
2026/08/08
Standardized Modeling Platform for Endometriosis: Recreating Inflammatory Pathology to Accelerate the Validation of New Gynecological Therapeutics
Endometriosis (EMS) is a benign proliferative disorder that is estrogen‑dependent, progesterone‑resistant, and characterized primarily by chronic pelvic inflammation. Its core pathological features include ectopic endometrial implantation, remodeling of the inflammatory microenvironment, enhanced angiogenesis, and aberrant macrophage infiltration. In both basic research and drug development, model stability and phenotypic consistency directly determine the reliability of pharmacological efficacy assessments.
2026/07/31
In vivo CRISPR library screening: How to pinpoint true signals amid vast numbers of cells and complex tissues?
In CRISPR screening, identifying a top-ranked gene does not necessarily mean that a truly critical target has been discovered. As CRISPR library‑based screening technologies have advanced, researchers can now probe gene functions and potential drug targets in an in vivo setting that more closely mimics the physiological context of disease, using tens of thousands or even hundreds of thousands of sgRNAs. However, compared with in vitro screening, in vivo CRISPR screening is simultaneously influenced by factors such as the tissue microenvironment, immune pressures, and the course of disease, and this complex biological milieu further increases the uncertainty in data interpretation.
huPBMC humanized immunocompetent mouse modeling platform: simulates human immune responses and enables evaluation of the efficacy of immunotherapeutics.
Peripheral blood mononuclear cells (PBMCs) are nucleated cells circulating in the peripheral blood, primarily comprising lymphocytes (T cells or B cells), monocytes, phagocytes, dendritic cells, and a small number of other cell types. They constitute an essential cellular component of the body’s immune response.
2026/07/17
From Oxidative Stress to Autophagy: Why Do These Classic Markers So Often Fail to Yield Reliable Results? (Part II)
In fact, many assay failures are not due to technical limitations but rather to the failure to capture the precise time window in which the target biomarker undergoes its true change. Biological signals are not static; different molecules exhibit distinct response kinetics: some markers are rapidly activated within minutes of stimulation, others accumulate gradually after transcription and translation, and still others, though already initiated, are rapidly lost during sample processing because of their inherent instability. Consequently, the key to experimental design lies not only in selecting which biomarkers to measure but, more importantly, in determining precisely when each marker best reflects the underlying biological changes.