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
- AI-Powered Genome Mapping Reveals New Layer of Alzheimer’s Disease Biology
- Genetic Variations Reveal Mechanisms Behind Sudden Cardiac Death Risk
- Immune Biomarkers Support Early Risk Stratification in Oral Precancer
- Global Genetic Map Identifies Regional Parkinson’s Variants to Support Diagnostics
- Breakthrough Genetic Map Advances Understanding of Bone Disorders
- Study Identifies Hereditary Subtype of Aggressive Prostate Cancer
- Gene Variants Linked to Pollution-Exacerbated Asthma
- 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
Channels
Clinical Chemistry
view channel
Blood Protein Panel Predicts Timing of ALS Symptom Onset
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease in which clinical signs often emerge only after substantial motor neuron injury has already occurred, complicating timely intervention.... Read more
Siemens Adds CE-Marked Capillary Claims for 24 Assays on Atellica Analyzers
Venous blood draws can be challenging in patients with difficult veins, needle phobia, or limited blood volume, and they can slow collection in busy services. Core laboratories also face pressure to expand... Read moreMolecular Diagnostics
view channel
Genomic Fingerprints Reveal Early Chemotherapy Resistance in Childhood Cancer
Chemotherapy remains central to treating childhood cancers, yet its toxic effects can injure healthy tissues, and some tumors later relapse or spread. Clinicians have lacked early molecular markers that... Read more
Blood Gene Expression Fluctuates More Than Expected Over Time
Blood-based gene expression is widely used to explore disease biology, but temporal variability can complicate interpretation of single time-point measurements. Seasonal shifts, time of day, and subclinical... Read more
Genomic Test Helps Early Breast Cancer Patients Avoid Chemotherapy
Adjuvant chemotherapy decisions in early breast cancer can expose many patients to toxicities without clear benefit when clinical factors alone do not precisely predict recurrence risk. Clinicians therefore... Read more
Residual Disease Test Predicts Merkel Cell Carcinoma Recurrence Earlier Than Antibody Assay
Merkel cell carcinoma is a rare, aggressive skin cancer with a substantial risk of relapse, occurring in about 40% of patients. Surveillance remains challenging because widely used serologic monitoring... Read moreHematology
view channel
Spectral Flow Cytometry Assay Enhances MRD Detection in Multiple Myeloma
imal residual disease (MRD) monitoring is pivotal in multiple myeloma, where persistent malignant plasma cells drive relapse risk and help guide therapy decisions. In the United States, approximately 202,000... Read more
New Marker Helps Detect Aggressive Multiple Myeloma Earlier
Multiple myeloma is an incurable malignancy of plasma cells and the second most common blood cancer worldwide, with more than 188,000 new cases each year. Although therapies have advanced, most patients... Read moreImmunology
view channel
Study Reveals Immune Mechanism Driving Severe COVID-19 Progression
Severe COVID-19 has highlighted gaps in understanding of early antiviral responses, particularly why some patients deteriorate despite timely care. Type I interferons are central to host defense, yet their... Read more
Antibody Profiling Identifies Preclinical Inflammatory Bowel Disease Years Before Diagnosis
Inflammatory bowel disease often develops after a prolonged symptom-free period, complicating timely recognition and clinical intervention. Limited understanding of immune activity during this silent phase... Read more
Ultrasensitive Blood Test Detects Sjögren’s Signature Years Before Diagnosis
Sjögren’s disease is a common autoimmune condition that can be difficult to recognize early, leading to delayed diagnosis and persistent symptom burden. It affects around half a million people in the UK... Read more
New Assays Expand Cytokine Testing for Transplant and Immunocompromised Patients
Eurofins Viracor has introduced three plasma-based assays—CXCL9 (Test Code 33607), CXCL10 (Test Code 33609), and interleukin-18 (IL-18) (Test Code 33611)—expanding its immunology testing menu for transplant... Read moreMicrobiology
view channel
High-Throughput Automated Platform to Advance Latent Tuberculosis Testing
Testing for tuberculosis remains a persistent global need, with demand driven by immigration screening, pre-treatment evaluation for immunosuppressive therapies, and public health programs.... Read more
Expanded Diagnostics and Therapies Target Rising Gonorrhea Resistance
Drug-resistant Neisseria gonorrhoeae is straining current treatment protocols and elevating the risk of complications across sexual health services. More than 500,000 cases are reported each year in the... Read morePathology
view channel
PD-L1 Assay Guides Pembrolizumab Eligibility in Ovarian, Fallopian Tube, and Peritoneal Cancers
Agilent Technologies’ PD-L1 IHC 22C3 pharmDx (Code SK006) has received European Union certification as a companion diagnostic to aid in identifying patients with epithelial ovarian, fallopian tube, or... Read more
AI Digital Pathology Platform Standardizes IHC Scoring in Breast Cancer
Breast cancer diagnostic workflows increasingly depend on accurate quantification of immunohistochemical biomarkers to guide therapy selection, yet manual scoring can be variable and time-consuming.... Read moreTechnology
view channel
Training Device Improves Accuracy of Pooled Molecular Diagnostics
High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test... Read more
New CE-Certified Software Advances Whole-Genome Cancer Testing
European hospitals are increasingly using comprehensive tumor genomics to guide therapy, but routine whole genome sequencing (WGS) requires validated, regulation-compliant workflows. A newly CE-certified... Read more
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read moreIndustry
view channel
Collaboration Advances Sputum-Based Diagnostics for Asthma and COPD
Asthma and chronic obstructive pulmonary disease are highly prevalent inflammatory airway conditions, affecting more than 40 million Americans and more than 650 million people worldwide.... Read more








