Saman Zeeshan, Ph.D.

Postdoctoral Associate

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About Saman Zeeshan, Ph.D.

Dr. Zeeshan has a PhD in Bioinformatics and her research is aimed at understanding highly aggressive cancers. Associated with “The Cancer Isoform Program” in deciphering the basis of cancer with in-depth isoformic characterization of cancer cells leveraging modern genomic tools with the aim to develop novel therapeutic strategies for precision medicine. Her work is focused on transcriptome profiling of high-grade cancers such as triple negative breast cancer and melanoma that are characterized by a high level of genetic heterogeneity that are not responsive to targeted interventions.

As immuno-oncology takes center stage in the battle against cancer, the need for biomarkers has become even more acute. Applying immunoinformatics to studying cancer biology, her work has led her to identify alternative-splicing alterations in cancer and develop a quantitative, in-depth mechanistic understanding of molecular communication governing the dynamics of the tumorigenesis. Identification of novel signatures at various stages and with different treatments will serve as promising candidates for novel therapeutics as well as biomarkers for precise treatment and management.

Research HighlightDecember 11, 2018
The unexpected advantages of outbred mice in research
Recently developed outbred mouse populations, such as the diversity outbred (DO) mice at The Jackson Laboratory (JAX), have created research options that parallel or even exceed human genetic diversity. Research with DO mice offers a full range of genetic diversity, and therefore more generalizability of responses across populations.
Blog PostNovember 27, 2018
Efficient and effective methods to use family history data for risk assessment
As 1 in 10 people are at increased risk for cancer, but often go undetected, knowing who these people are can lead to personalized management and better health outcomes.
- Cancer/Tumors
- Cancer
Research HighlightNovember 08, 2018
Working with uncertainty in cell populations
JAX researchers have developed a new computational algorithm that is capable of modeling the effects of both stochastic gene expression and cell-to-cell variability in a cell population.
Press ReleaseOctober 24, 2018
Data provides new hope for pediatric brain tumor patients
Using computer models, researchers have identified a potential new therapy that would reduce the long-term side effects of radiation therapy in pediatric brain cancer patients.

Blog PostDecember 11, 2018
Nesting dolls and Narnia
If movies were true to real life, matryoshka dolls would provide a good analogy for genomics research.
Press ReleaseNovember 13, 2018
V Foundation funds JAX cancer research for third straight year
Armed with new funding from the V Foundation, Olga Anczuków-Camarda is uncovering genetic changes in the breast, paving the road to early cancer detection and prevention.
Blog PostOctober 31, 2018
Can we do a better job of preserving fertility and ovarian function for young breast cancer survivors?
Young women with a new cancer diagnosis are faced with a number of challenges. These patients (and their providers) are often anxious to begin treatment right away. The problem is that many young women haven’t started or completed their families at the time of their diagnosis.
Research HighlightOctober 11, 2018
Stuck in a dangerous cycle
Paper provides important insight for B-cell lymphomagenesis from mouse models to human disease.