Is the cell line in your dish truly what you think it is? Data integrity begins with sample identity. With over 30% of cell lines in circulation estimated to be cross-contaminated or misidentified, the risk of irreproducible results and retracted publications is a critical threat to biomedical research.
N2 Jenomics Lab Pvt. Ltd. provides a definitive solution. We offer expert Cell Line Identification (Authentication) services using Short Tandem Repeat (STR) profiling—the industry standard mandated by the NIH, FDA, and ATCC. Whether you are validating Human, Mouse, or Vero cells, our high-precision capillary electrophoresis platform delivers the "genetic fingerprint" of your biological models. We help researchers, CROs, and pharmaceutical developers verify cell origin, detect cryptic cross-contamination, and meet stringent journal requirements with speed and accuracy.
Core Advantages:
In the era of precision medicine, the reproducibility of scientific data is non-negotiable. Yet, cell line misidentification remains a "silent epidemic" in laboratories worldwide. Statistics from the International Cell Line Authentication Committee (ICLAC) and other bodies indicate that approximately 18% to 30% of cell lines currently used in research are either cross-contaminated or entirely misidentified.
This widespread issue typically arises from:
To combat this, authentication is no longer optional—it is a requirement.
N2 Jenomics Lab Pvt. Ltd. empowers you to meet these standards effortlessly. By integrating our authentication services into your workflow, you safeguard your project's validity, ensuring that your conclusions are drawn from the correct biological model.

To ensure the accuracy and reliability of cell-based research, authentication should be performed under the following recommended scenarios:
Our Cell Line Identification service is built on a foundation of rigor and technological excellence. We do not simply run a PCR; we provide a comprehensive identity verification solution.
We understand that some cell models are difficult to grow or limited in quantity. Our optimized protocol requires only a minimal template of 1 ng of DNA. This allows you to authenticate early-passage primary cells or slow-growing lines without expanding them purely for QC purposes. Furthermore, our platform achieves a 10% cross-contamination detection rate. This sensitivity is crucial for identifying "early-stage" contamination, where an invasive cell line (like HeLa) is just beginning to overtake your target culture.
We offer one of the industry's most versatile portfolios, covering 95% of common research models.
Our workflows are compatible with major capillary electrophoresis instruments, ensuring that our data is directly comparable to global standards. We provide 100% reproducible results, giving you data you can trust for regulatory submissions or patent filings.
We categorize our services to meet specific research needs, from basic origin verification to complex interspecies contamination screening.

Target Audience: Researchers submitting to journals or establishing cell banks.
Methodology: Multiplex PCR followed by Capillary Electrophoresis (20 STR loci + Amelogenin).
Deliverables:

Target Audience: Labs monitoring genetic drift or comparing donor-derived clones.
Methodology: Comparative STR Profiling (20 + 1 loci).
Application: This service compares two specific samples (e.g., "Passage 5" vs. "Passage 50") to determine if they are genetically identical or if significant drift/mutation has occurred.

Target Audience: Immunology and Oncology researchers using murine models.
Methodology: Mouse-specific STR Profiling (18 loci + 2 species markers).
Key Feature: This assay serves a dual purpose. It generates a unique genetic ID for the mouse line and simultaneously screens for human cross-contamination using species-specific primers.
Interpretation:

Target Audience: Vaccine developers and Virology labs.
Methodology: Vero-specific STR Profiling (8 loci + 1 species marker + 1 gender marker).
Application: Confirms the identity of Chlorocebus aethiops (African Green Monkey) lines and detects contamination from human or other non-Vero primate cells.

Target Audience: Core facilities or labs handling multiple animal models.
Methodology: Multiplex PCR with species-specific primers.
Scope: We detect the presence of foreign DNA from a broad spectrum of 15 species:
Rodents: Mouse, Rat, Chinese Hamster, Syrian Hamster.
Primates: Human, African Green Monkey, Rhesus Macaque.
Domestic/Farm: Dog, Cat, Bovine, Porcine, Rabbit, Horse, Sheep, Goat.
We have optimized our process to minimize your effort and maximize data speed.
Project Consultation: Our technical team confirms your cell type and selects the appropriate STR panel.
Sample Quality Control (QC): We verify the quantity and integrity of your DNA or cell pellet upon receipt to ensure successful amplification.
STR Region Amplification: Utilizing fluorescently labeled primers, we amplify the target microsatellite regions.
Fragment Analysis: Capillary electrophoresis separates the PCR products with single-base pair resolution.
Data Analysis & Reporting: Our bioinformaticians interpret the peaks, perform database matching, and generate a comprehensive PDF report.

Figure 1. The N2 Jenomics Lab Pvt. Ltd. Authentication Workflow.
| Sample Type | Submission Requirements | Shipping Conditions |
|---|---|---|
| Cell pellet or suspension | ≥5×10⁵ cells, volume: 18 μL – 2 mL | Shipped with ice pack Shipped with ice pack |
| Genomic DNA | Concentration ≥50 ng/μL, volume ≥20 μL |
Tips:
Understanding your data is critical. Here is how to interpret the results provided by N2 Jenomics Lab Pvt. Ltd. .
1. The "Clean" Profile (Homozygous/Heterozygous)
A pure cell line will display one or two peaks at each STR locus.
2. The "Contaminated" Profile (Multi-Allelic)
If the analysis reveals three or more peaks at multiple loci, this is the hallmark of cross-contamination.
3. The Match Score

Mouse Cell Line Authentication: The goal is to confirm the cell line's identity as mouse and detect any potential human contamination.
Results Interpretation:
· Normal, Uncontaminated Mouse Cells: No peaks detected in human loci, and all 18 mouse loci show either single peaks (homozygous) or double peaks (heterozygous).
· Mouse-Mouse Cross-Contamination: No peaks detected in human loci, but at least three of the 18 mouse loci will show three or more peaks.

Distribution of base quality.
Human Cell Line Contamination Analysis: We use a 20-locus STR profiling system to detect cross-contamination in human cell lines.
Results Interpretation: The analysis shows a tri-allelic pattern at the loci D6S1043, D3S1358, D13S317, and TPOX. This indicates the cell line is a mixture of human cells, confirming cross-contamination from two distinct human cell sources.
1. Which cell line most commonly contaminates others?
HeLa cells pose the highest risk of contamination. Widely used in medical and biological research for over 50 years, HeLa's rapid growth allows it to easily overgrow other cultures. If cells in a flask begin to proliferate aggressively and are subsequently passaged, there is a high likelihood of HeLa contamination. Notably, as early as 1967, geneticist Stanley Gartler identified popular cell lines such as HEp-2 and INT 407 as HeLa derivatives.
2. Which cell lines have been contaminated by HeLa?
Documented cases of HeLa contamination include over 100 cell lines, such as: INT-407, HEp-2, WISH, Acc-M, Bcap-37, HAC-84, Hepatoma, HUL-42, CNE, SPC-A-1, Tca-8113, and YTMLC.
3. How is cell line identity verified?
Authentication follows the International Cell Line Authentication Committee (ICLAC) standards. This involves multiplex fluorescent PCR analysis of 8 human STR loci and 1 amelogenin gender-determining locus. Detailed genetic profiles for these markers are provided in the table below.
4. How is cross-contamination detected via STR profiling?
Cross-contamination is identified by the presence of multiple peaks (more than two alleles) at several STR loci. Peak height correlates with DNA concentration; thus, in mixed samples, the major cell line exhibits dominant peaks, while the contaminant shows minor peaks. Notably, multi-allelic patterns may mimic genetic instability, which is common in cancer cell subpopulations. Expert interpretation by experienced molecular biologists is essential to differentiate true contamination from intrinsic genetic heterogeneity.
5. How is cell line identity confirmed using STR data?
The sample's STR profile is compared to reference databases. Identity is confirmed if ≥80% of alleles match the reference profile across all loci. Matches below 80% indicate potential mislabeling, contamination, or genetic drift. If contamination or misidentification is confirmed, authenticate earlier-passage stocks or acquire a new line from a certified source.
6. What if no database match is found?
If no reference profile is found, establish a unique genetic signature for your cell line. This baseline profile will allow for future authentication against your internal cell bank.
7. What impact do misidentify, or cross-contaminated cells have on research?
The impact is significant. Using compromised cells wastes time, resources, and funding, often leading to irreproducible or inconsistent results. Studies conducted with such cell lines may require repetition with authenticated cells before publication or further development.