New Technology Rapidly Diagnoses Sickle Cell Disease
|
By LabMedica International staff writers Posted on 29 Oct 2020 |

Image: An Acousto Thermal Shift Assay `lab-on-a-chip` device shown next to a US quarter for size comparison. The device can diagnose sickle cell anemia (Photo courtesy of CU Boulder College of Engineering and Applied Science).
Sickle cell disease (SCD) is a group of blood disorders typically inherited from a person's parents. The most common type is known as sickle cell anemia (SCA). It results in an abnormality in the oxygen-carrying protein hemoglobin found in red blood cells.
Sickle cell disease occurs when a person inherits two abnormal copies of the β-globin gene that makes hemoglobin, one from each parent. This gene occurs in chromosome 11. Several subtypes exist, depending on the exact mutation in each hemoglobin gene. An attack can be set off by temperature changes, stress, dehydration, and high altitude.
Molecular, Cellular and Developmental Biologists at the University of Colorado, (Boulder, CO, USA) have developed a new way to diagnose diseases of the blood like sickle cell disease with sensitivity and precision and in only one minute. Their technology is smaller than a quarter and requires only a small droplet of blood to assess protein interactions, dysfunction or mutations. The team used Thermal Shift Assays (TSAs) to assess protein stability under varying conditions. Such tests took about a day to run. Now, with the new technology, an Acousto Thermal Shift Assay (ATSA), they can do the same but faster and with greater sensitivity.
Proteins have a specific solubility at a specific temperature. The solubility changes when one protein bonds to another, or when the protein is mutated, by measuring solubility at different temperatures, scientists can tell whether the protein has been mutating. The ATSA utilizes high-amplitude sound waves, or ultrasound, to heat a protein sample. The tool then measures data continuously, recording how much of the protein has dissolved at every fraction of change in degrees Celsius. The ATSA requires only a power source, a microscope and a camera as simple as the one on a smartphone. Because the protein is concentrated, there is also no need to apply a florescent dye as is sometimes required to highlight protein changes in a traditional TSA.
Yonghui Ding, PhD, a post-doctoral fellow and the first author of the study, said, “The method is seven to 34 times more sensitive. The ATSA can distinguish the sickle cell protein from normal protein, while the traditional TSA method cannot.” The study was published on October 15, 2020 in the journal Small.
Related Links:
University of Colorado
Sickle cell disease occurs when a person inherits two abnormal copies of the β-globin gene that makes hemoglobin, one from each parent. This gene occurs in chromosome 11. Several subtypes exist, depending on the exact mutation in each hemoglobin gene. An attack can be set off by temperature changes, stress, dehydration, and high altitude.
Molecular, Cellular and Developmental Biologists at the University of Colorado, (Boulder, CO, USA) have developed a new way to diagnose diseases of the blood like sickle cell disease with sensitivity and precision and in only one minute. Their technology is smaller than a quarter and requires only a small droplet of blood to assess protein interactions, dysfunction or mutations. The team used Thermal Shift Assays (TSAs) to assess protein stability under varying conditions. Such tests took about a day to run. Now, with the new technology, an Acousto Thermal Shift Assay (ATSA), they can do the same but faster and with greater sensitivity.
Proteins have a specific solubility at a specific temperature. The solubility changes when one protein bonds to another, or when the protein is mutated, by measuring solubility at different temperatures, scientists can tell whether the protein has been mutating. The ATSA utilizes high-amplitude sound waves, or ultrasound, to heat a protein sample. The tool then measures data continuously, recording how much of the protein has dissolved at every fraction of change in degrees Celsius. The ATSA requires only a power source, a microscope and a camera as simple as the one on a smartphone. Because the protein is concentrated, there is also no need to apply a florescent dye as is sometimes required to highlight protein changes in a traditional TSA.
Yonghui Ding, PhD, a post-doctoral fellow and the first author of the study, said, “The method is seven to 34 times more sensitive. The ATSA can distinguish the sickle cell protein from normal protein, while the traditional TSA method cannot.” The study was published on October 15, 2020 in the journal Small.
Related Links:
University of Colorado
Latest Technology News
- AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
- AI Tool Automates Validation of Laboratory Software Configuration Changes
- Point-of-Care Testing Enhances Health Literacy and Self-Management in Chronic Disease
- Fully Automated Sample-to-Insight Workflow Advances Latent TB Testing
- Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
- New Platform Captures Extracellular Vesicles for Early Cancer Detection
- Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
- AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
- Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
- Noninvasive Sputum Test Detects Early Lung Cancer
- New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
- Rapid Biosensor Detects Drug Sensitivity in Breast Tumors
- Breakthrough Mass Spectrometry Design Could Enable Ultra-Low Abundance Detection
- Online Tool Supports Family Screening for Inherited Cancer Risk
- Portable Breath Sensor Detects Pneumonia Biomarkers in Minutes
- New Electronic Pipette Enhances Workflows with Touchscreen Control
Channels
Clinical Chemistry
view channel
New CA19-9 Cutoff Value Helps Identify High-Risk Pancreatic Cancer Patients
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed at an advanced stage and remains one of the most lethal solid tumors. Clinicians commonly use serum carbohydrate antigen 19-9 (CA19-9) to... Read more
Blood-Based Biomarkers Show Promise for Psychosis Risk Prediction
Psychosis commonly emerges in adolescence or early adulthood and can severely disrupt social and occupational functioning. Hallucinations, delusions, and disorganized thinking often evolve gradually, hindering... Read moreMolecular Diagnostics
view channel
FDA Approves Expanded Liquid Biopsy Panel for Advanced Cancer Profiling
Timely, comprehensive tumor profiling helps clinicians make treatment selection decisions for patients with advanced cancer. Blood-based approaches can provide actionable insights from a simple draw and... Read more
Microbial Saliva Test Could Help Triage Esophageal Cancer Risk
Esophageal squamous cell carcinoma (ESCC) is highly lethal, partly because many patients are diagnosed only after swallowing becomes difficult and treatment options are largely palliative.... Read more
Expanded DPYD Genotyping Test Supports Safer Chemotherapy Dosing
Fluoropyrimidines such as 5-fluorouracil (5-FU) are chemotherapy drugs prescribed to more than two million cancer patients each year, but 10–20% of patients can experience severe, and sometimes fatal,... Read more
Multi-Omics Profiling Helps Predict BCG Response and Recurrence in Bladder Cancer
High-risk non–muscle-invasive bladder cancer frequently recurs after therapy, with about 30% of patients relapsing and roughly 10% dying within two years despite tumor resection, surveillance, and Bacillus... Read moreImmunology
view channel
Immune Enzyme Linked to Treatment-Resistant Inflammatory Bowel Disease
Inflammatory bowel disease (IBD) affects nearly 3 million people in the United States and its prevalence continues to rise. Medications that target tumor necrosis factor (TNF)-alpha are widely used, but... Read more
Simple Blood Test Could Replace Biopsies for Lung Transplant Rejection Monitoring
Lung transplant recipients face some of the highest rates of acute cellular rejection, and routine surveillance often relies on repeated surgical biopsies. These procedures can cause complications such... Read moreMicrobiology
view channel
New AMR Assay Supports Rapid Infection Control Screening in Hospitals
As antimicrobial resistance spreads worldwide, healthcare-associated infections are placing a growing burden on hospitals, increasing the need for faster and broader diagnostic solutions.... Read more
Diagnostic Gaps Complicate Bundibugyo Ebola Outbreak Response in Congo
In eastern Democratic Republic of the Congo, communities are confronting a resurgence of Bundibugyo ebolavirus, a rarer species for which no vaccines or treatments have been approved. Ebola is a highly... Read more
Study Finds Hidden Mpox Infections May Drive Ongoing Spread
Mpox continues to circulate despite vaccination, and many cases show no known link to a symptomatic partner. The role of people without symptoms has remained uncertain, limiting clarity on how transmission persists.... Read more
Large-Scale Genomic Surveillance Tracks Resistant Bacteria Across European Hospitals
Antimicrobial resistance (AMR) poses a growing threat to patient safety, with carbapenem-resistant Enterobacterales causing difficult-to-treat infections and leaving clinicians with limited therapeutic options.... Read morePathology
view channel
Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
Gene expression profiling can inform tumor biology and treatment selection, but spatial assays remain costly and time-consuming. Results can take weeks and cost thousands of dollars, limiting large-scale... Read more
AI Pathology Test Receives FDA Breakthrough for Bladder Cancer Risk Stratification
Non–muscle invasive bladder cancer has highly variable outcomes, complicating surveillance and treatment planning. Risk assessment typically relies on stage, grade, and tumor size, leaving uncertainty... Read moreTechnology
view channel
AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
Clinical laboratories and research groups face increasingly complex molecular workflows and expanding technical documentation spread across multiple systems. Fragmented digital tools can slow experiment... Read more
AI Tool Automates Validation of Laboratory Software Configuration Changes
Regulated laboratories face heavy documentation and requalification demands when software configurations change, slowing improvements and discouraging beneficial updates. A new capability now automates... Read moreIndustry
view channel
Strategic Collaboration Advances RNA Foundation Models for Precision Oncology
Bulk RNA sequencing is increasingly used to study tumor biology, but standard analyses often reduce results to gene-level summaries that miss important transcript variants and mutation patterns.... Read more








