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
- Single-Cell Analysis Mapping Links Inflammation Response to Acute Myeloid Leukemia
- Study Reveals New Insights into Rare Blood Cancer Development
- New Findings Clarify Molecular Drivers of Rare Small Intestinal Cancer
- Lung Cancer Study Reveals Cellular Program Behind Therapy Resistance
- Tumor Genome Marker May Predict Treatment Benefit in Pediatric Cancers
- Lysosomal Gene Defect Linked to Severe Childhood Brain Disorders
- Genetic Testing Identifies Greater Inherited Sudden Cardiac Arrest Risk in Younger Individuals
- Hidden 'Jumping Gene' Variant Linked to Higher Pancreatic Cancer Risk
- Common White Blood Cells Produce Schizophrenia-Linked Protein
- Nanopore Method Captures RNA Folding at Single-Molecule Resolution
- Tumor Microenvironment Marker Linked to Worse Survival in Solid Tumors
- Hidden Immune Gene Defect May Explain Kaposi Sarcoma Susceptibility
- Genetic Markers May Help Predict Amputation Risk in Peripheral Artery Disease
- Gene Signature Shows Promise for Depression Biomarker Testing
- AI-Driven Tumor Profiling Initiative Targets Precision Therapy Development
- Researchers Map Protein and Glycosylation Across 15 Human Body Fluids
Channels
Clinical Chemistry
view channel
FDA-Approved Test Identifies Low Risk of Large Esophageal Varices in Cirrhosis
Chronic liver disease contributes substantially to mortality, and clinicians routinely screen adults with compensated cirrhosis for varices to prevent bleeding. However, endoscopy is invasive and reso... Read more
Blood Protein Signature Diagnoses Pediatric IBD and Distinguishes Subtypes
Confirming pediatric inflammatory bowel disease (IBD) often requires imaging, endoscopy, and histopathology, prolonging time to diagnosis. Reliable, noninvasive blood tests remain an unmet need in routine... Read moreMolecular Diagnostics
view channel
Ultrasensitive ctDNA Assay Detects MRD in Breast, Colorectal, Renal Cancers
Minimal residual disease testing is increasingly used to guide adjuvant therapy and surveillance in solid tumors, but detecting very low levels of circulating tumor DNA remains challenging in routine practice.... Read more
Female-Specific RNA Biomarker May Help Explain Sex Differences in Immune Disease
Women show distinct susceptibility to infectious diseases and higher rates of autoimmune disorders, yet the molecular drivers remain unclear. This gap has limited sex-specific diagnostic and prognostic tools.... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
New Cellular Biomarkers Correlate with Disease Severity in Sjögren Disease
Autoimmune disorders arise when immune responses target self-antigens, driving chronic inflammation and long-term morbidity. In primary Sjögren disease, inflammation of salivary and lacrimal glands leads... Read more
Airway Immune Signature May Predict Tuberculosis Progression Risk
Tuberculosis remains difficult to predict and prevent, despite widespread exposure worldwide. An estimated quarter of the global population has been infected with Mycobacterium tuberculosis, yet only a... Read moreMicrobiology
view channel
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read more
Study Reveals Widespread Community Spread of Drug-Resistant Klebsiella
Multidrug-resistant Klebsiella pneumoniae is an escalating community health concern, driving recurrent urinary tract infections in older adults and complicating first-line antibiotic therapy.... Read more
Stronger Laboratory Services Support Timely Melioidosis Diagnosis Amid Global Spread
Melioidosis, a potentially fatal infection caused by Burkholderia pseudomallei, remains difficult to recognize because its symptoms can mimic tuberculosis and other illnesses. The disease is considered... Read more
Extracellular Vesicle Biomarker May Enable Noninvasive Monitoring of H. pylori
Helicobacter pylori infects an estimated 43.9% of the global population, affecting approximately 4.4 billion people worldwide. In many regions, including Africa, Eastern Europe, and Southeast Asia, prevalence... Read morePathology
view channel
Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
Reliable histologic subtyping guides therapy selection in oncology, yet diagnostic workflows grow more complex as whole-slide imaging and artificial intelligence (AI) expand. A persistent obstacle to clinical... Read more
Study Highlights Biomarker Testing Delays in Lung Cancer Care
Timely biomarker results are critical to match lung cancer patients with targeted therapies or immunotherapies, yet many clinical pathways still delay testing after biopsy. Ordering responsibility, reimbursement... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Project Aims to Develop First Single-Cell Assay for ADC Therapies
Antibody-drug conjugates are expanding rapidly in oncology, intensifying the need for biomarker strategies that capture tumor heterogeneity at cellular resolution. Single-cell profiling can delineate cellular... Read more








