Methodology Devised to Improve Stem Cell Reprogramming
|
By LabMedica International staff writers Posted on 27 Jan 2015 |

Image: Induced pluripotent stem (iPS) cells, which act very much like embryonic stem cells, are shown growing into heart cells (blue) and nerve cells (green) (Photo courtesy of Gladstone Institutes/Chris Goodfellow).

Image: Microscopic view of a colony of induced pluripotent stem cells obtained by reprogramming a specialized cell for two weeks (Photo courtesy of UCLA Broad Stem Cell Research Center/Plath Lab).
In a study that provides scientists with a critical new determination of stem cell development and its role in disease, researchers have established a first-of-its-kind approach that outlines the stages by which specialized cells are reprogrammed into stem cells resembling those found in embryos. The research could have wide ranging, long-term implications in enhancing disease modeling and devising new therapies for patients.
The study, conducted by researchers from the University of California, Los Angeles (UCLA; USA) Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research and led by Dr. Kathrin Plath, a professor of biological chemistry, was published January 2015 in the journal Cell. Induced pluripotent stem cells (iPSCs) are cells that can be generated from adult cells and then, like embryonic stem cells, be directed to become any cell in the human body. Adult cells can also be reprogrammed in the lab to change from a specialized cell back to an iPSC (and thereby becoming a cell similar to that of an embryonic stem cell).
Reprogramming takes one to two weeks and is a mostly inefficient process, with typically less than one percent of the beginning cells effectively becoming an iPSC. The exact stages a cell goes through during the reprogramming process are not well understood. This knowledge is vital, because iPSCs have great potential in the field of regenerative medicine, as they can constantly reproduce and provide a single source of patient-specific cells to replace those lost to injury or disease. They can also be used to create innovative disease models from which new drugs and therapies can be developed.
Vincent Pasque and Jason Tchieu, postdoctoral fellows in Plath’s lab and co-first authors of the study, developed a roadmap of the reprogramming process using detailed time-course analyses. They induced the reprogramming of specialized cells (that could only make more of themselves, and no other cell types), then observed and analyzed on a daily basis or every other day the process of transformation at the single-cell level. The data were gathered and recorded during a time period of up to two weeks.
Dr. Plath’s team found that the changes that happen in cells during reprogramming occur in sequentially, and that notably, the stages of the sequence were the same across the diverse reprogramming systems and different cell types analyzed. “The exact stage of reprogramming of any cell can now be determined,” Dr. Pasque said. “This study signals a big change in thinking, because it provides simple and efficient tools for scientists to study stem cell creation in a stage-by-stage manner. Most studies to date ignore the stages of reprogramming, but we can now seek to better understand the entire process on both a macro and micro level.”
Dr. Plath’s group additionally discovered that the stages of reprogramming to iPSC are different from what was expected. They found that it is not simply the reversed sequence of stages of embryo development. Some steps are reversed in the expected order; others do not actually happen in the exact reverse order and resist a change until late during reprogramming to iPSCs. “This reflects how cells do not like to change from one specialized cell type to another and resist a change in cell identity,” Dr. Pasque said. “Resistance to reprogramming also helps to explain why reprogramming takes place only in a very small proportion of the starting cells.”
With these findings, Dr. Plath’s lab plans future studies to actively isolate specific cell types during specific stages of reprogramming. They also hope the research will encourage further investigation into the characteristics of iPSC development. “This research has broad impact, because by understanding cell reprogramming better we have the potential to improve disease modeling and the generation of better sources of patient-specific specialized cells suitable for replacement therapy,” concluded Dr. Plath. “This can ultimately benefit patients with new and better treatments for a wide range of diseases.”
Related Links:
University of California, Los Angeles’ Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research
The study, conducted by researchers from the University of California, Los Angeles (UCLA; USA) Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research and led by Dr. Kathrin Plath, a professor of biological chemistry, was published January 2015 in the journal Cell. Induced pluripotent stem cells (iPSCs) are cells that can be generated from adult cells and then, like embryonic stem cells, be directed to become any cell in the human body. Adult cells can also be reprogrammed in the lab to change from a specialized cell back to an iPSC (and thereby becoming a cell similar to that of an embryonic stem cell).
Reprogramming takes one to two weeks and is a mostly inefficient process, with typically less than one percent of the beginning cells effectively becoming an iPSC. The exact stages a cell goes through during the reprogramming process are not well understood. This knowledge is vital, because iPSCs have great potential in the field of regenerative medicine, as they can constantly reproduce and provide a single source of patient-specific cells to replace those lost to injury or disease. They can also be used to create innovative disease models from which new drugs and therapies can be developed.
Vincent Pasque and Jason Tchieu, postdoctoral fellows in Plath’s lab and co-first authors of the study, developed a roadmap of the reprogramming process using detailed time-course analyses. They induced the reprogramming of specialized cells (that could only make more of themselves, and no other cell types), then observed and analyzed on a daily basis or every other day the process of transformation at the single-cell level. The data were gathered and recorded during a time period of up to two weeks.
Dr. Plath’s team found that the changes that happen in cells during reprogramming occur in sequentially, and that notably, the stages of the sequence were the same across the diverse reprogramming systems and different cell types analyzed. “The exact stage of reprogramming of any cell can now be determined,” Dr. Pasque said. “This study signals a big change in thinking, because it provides simple and efficient tools for scientists to study stem cell creation in a stage-by-stage manner. Most studies to date ignore the stages of reprogramming, but we can now seek to better understand the entire process on both a macro and micro level.”
Dr. Plath’s group additionally discovered that the stages of reprogramming to iPSC are different from what was expected. They found that it is not simply the reversed sequence of stages of embryo development. Some steps are reversed in the expected order; others do not actually happen in the exact reverse order and resist a change until late during reprogramming to iPSCs. “This reflects how cells do not like to change from one specialized cell type to another and resist a change in cell identity,” Dr. Pasque said. “Resistance to reprogramming also helps to explain why reprogramming takes place only in a very small proportion of the starting cells.”
With these findings, Dr. Plath’s lab plans future studies to actively isolate specific cell types during specific stages of reprogramming. They also hope the research will encourage further investigation into the characteristics of iPSC development. “This research has broad impact, because by understanding cell reprogramming better we have the potential to improve disease modeling and the generation of better sources of patient-specific specialized cells suitable for replacement therapy,” concluded Dr. Plath. “This can ultimately benefit patients with new and better treatments for a wide range of diseases.”
Related Links:
University of California, Los Angeles’ Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research
Latest BioResearch News
- Researchers Classify 108 Lysosomal Disorders in Updated Diagnostic Framework
- New Autoantibody Target Identified in Neuromyelitis Optica Spectrum Disorder
- New Immune Target Could Support More Precise High Blood Pressure Treatment
- New Gene-Disease Link May Help Diagnose Rare Neurodevelopmental Disorders
- Researchers Identify Shared Molecular Networks Behind Fatigue-Related Illnesses
- Blood Metabolite Signature Predicts ALS Progression and Points to Treatment Strategy
- Whole-Blood Extracellular Vesicle Analysis Captures Molecular Signals Missed by Plasma Testing
- Age-Related Genomic Differences Could Refine Treatment Decisions in Lung Cancer
- Computational Tool Identifies Central Asthma Genes for Target Discovery
- Molecular Pathway Reveals Driver of Triple-Negative Breast Cancer Spread
- D-Serine May Predict Immune Checkpoint Therapy Resistance in Gastric Cancer
- New Genetic Cause Identified for Neurodevelopmental Disorder
- New Genetic Discovery Could Support Precision Diabetes Care
- Inherited Genetic Differences Help Explain Variable CAR T-Cell Therapy Outcomes
- AI-Powered Genome Mapping Reveals New Layer of Alzheimer’s Disease Biology
- Genetic Variations Reveal Mechanisms Behind Sudden Cardiac Death Risk
Channels
Clinical Chemistry
view channel
Point-of-Care Blood Test Could Speed Treatment Decisions in Acute Stroke
Minutes can shape treatment decisions in emergency stroke care, particularly when physicians need to know whether a patient is taking anticoagulants before administering clot-dissolving therapy.... Read more
Breath Analysis Shows Promise for Distinguishing Cancerous from Benign Lung Nodules
Lung nodules are frequently detected during imaging, but distinguishing malignant from benign findings can require invasive procedures. Some patients undergo biopsies, bronchoscopy, or surgery before learning... Read moreMolecular Diagnostics
view channel
Rapid Genetic Test Aims to Shorten Brain Tumor Diagnosis Time
Brain tumors can be highly aggressive and difficult to treat, and The Brain Tumour Charity describes them as the biggest cancer killer of children and adults under 40. With more than 100 recognized tumor... Read more
New Oncology Assays Deliver Precise Molecular Counts with MRD-Grade Sensitivity
Precise molecular monitoring is central to managing hematologic malignancies, but traditional PCR workflows can limit sensitivity, multiplexing, and result clarity. Limited sample volumes and fragmented... Read moreHematology
view channel
New Donor Genetic Marker May Help Predict Stem Cell Transplant Success
Donor selection for hematopoietic stem cell transplantation plays a major role in relapse risk and survival for patients with blood cancers and other blood disorders. Despite advances in genotyping, uncertainty... Read more
Updated Ferritin Thresholds Improve Detection of Iron Deficiency
Iron deficiency is one of the most common health conditions worldwide, yet its nonspecific symptoms can delay diagnosis for months. Variation in testing practices and ferritin thresholds may contribute... Read moreImmunology
view channel
Blood Test Differentiates Bacterial and Viral Infections in Febrile Infants
Fever in infants younger than 3 months is treated as a medical emergency because infections can become life-threatening while the immune system is still developing. Emergency department teams must quickly... Read more
New Autoantibody Test Targets Pre-Symptomatic Type 1 Diabetes Screening
Type 1 diabetes is often first recognized only after substantial beta-cell destruction, sometimes presenting as diabetic ketoacidosis. Population-scale screening could identify children at elevated risk... Read moreMicrobiology
view channel
One-Hour Molecular Panel Expands Bloodstream Infection Testing for Gram-Negative Pathogens
Bloodstream infections can progress rapidly and lead to sepsis, organ failure, and death. In the United States, about 1.7 million adults develop sepsis each year, and at least 350,000 die during hospitalization... Read more
FDA Clears Rapid Phenotypic Antimicrobial Susceptibility System for Positive Blood Cultures
Bloodstream infections require prompt treatment, but antimicrobial susceptibility results often lag behind a positive blood culture. Conventional testing can take another 24 to 48 hours after a culture... Read more
New Urine Test Expands Mycotoxin Analysis to 31 Markers for Broader Exposure Assessment
Clinical evaluation of mold exposure increasingly relies on urinary mycotoxin testing, but limited marker coverage and metabolite masking can make results more difficult to interpret. Broader analysis... Read morePathology
view channel
New AI Model Maps Where Glioblastoma Could Return After Surgery
Glioblastoma is the most common malignant brain tumor in adults and the most lethal, with median survival of about 17 months after diagnosis. Even after surgeons remove all visible tumor and patients receive... Read more
Multimodal AI Supports Prostate Cancer Risk Assessment Across Diverse Cohorts
Artera’s (Los Altos, CA, USA) multimodal artificial intelligence (MMAI) platform is being featured in five abstracts at the American Society for Radiation Oncology (ASTRO) 2026 Annual Meeting.... Read moreTechnology
view channel
New Automation Workflow Streamlines NGS Library Preparation for High-Volume Labs
Demand for next-generation sequencing (NGS) continues to rise as laboratories process growing sample volumes, yet library preparation remains labor-intensive and a frequent source of variability.... Read more
ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine
Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read moreIndustry
view channel
Collaboration Combines AI Cognitive Assessment and RNA Blood Testing for Earlier Alzheimer’s Detection
Alzheimer’s disease is often identified only after substantial neurodegeneration, partly because current diagnostic pathways are fragmented and difficult to scale. As treatment shifts toward earlier intervention,... Read more
Mayo Clinic Laboratories and Pathology Asia Expand Genomic Testing Across Asia-Pacific
Mayo Clinic Laboratories and Pathology Asia Holdings (PAH), together with subsidiary LifeStrands Genomics, announced a strategic investment and collaboration focused on expanding access to advanced diagnostics... Read more







