Honors & Awards

  • Forbes 30 Under 30: Science, Forbes Magazine (2017)
  • Graduate Research Fellowship, National Science Foundation (2015)
  • NORD/DIA Patient Advocate Scholarship, National Organization of Rare Diseases (2013)
  • Helzer Travel Grant, Yale University (2012)
  • NORD/DIA Student Presenter Travel Award, National Organization of Rare Diseases (2012)
  • Richter Summer Fellowship, Yale University (2011)
  • Silliman Mellon Grant for Undergraduate Theses, Yale University (2011)
  • Yale Science and Engineering Association Undergraduate Research Grant, Yale University (2011)
  • Sherwood E. Silliman Fellowship for Research in the Natural Sciences, Yale University (2010)

Professional Affiliations and Activities

  • Champion, Society for Immunotherapy of Cancer (2017 - Present)
  • Board of Directors, International Pemphigus and Pemphigoid Foundation (2014 - 2016)

Education & Certifications

  • BS, Yale University, Biology (2012)

Stanford Advisors

Research & Scholarship

Current Clinical Interests

  • Inflammation
  • Immunotherapy
  • Tumor Immunology

Lab Affiliations

  • Edgar Engleman, Engleman Cellular Immunology Lab (4/1/2015)
  • Parag Mallick, Mallick Lab at the Canary Center for Early Cancer Detection (4/1/2015)


Work Experience

  • Clinical Research Associate II, Nodality, Inc. (July 1, 2012 - July 29, 2014)


    South San Francisco, CA

  • Summer Research Associate, The Buck Institution for Age Research (2009 - 2011)


    Novato, CA


All Publications

  • The Predictive Value of Inflammation-Related Peripheral Blood Measurements in Cancer Staging and Prognosis FRONTIERS IN ONCOLOGY Sylman, J. L., Mitrugno, A., Atallah, M., Tormoen, G. W., Shatzel, J. J., Yunga, S., Wagner, T. H., Leppert, J. T., Mallick, P., McCarty, O. T. 2018; 8: 78


    In this review, we discuss the interaction between cancer and markers of inflammation (such as levels of inflammatory cells and proteins) in the circulation, and the potential benefits of routinely monitoring these markers in peripheral blood measurement assays. Next, we discuss the prognostic value and limitations of using inflammatory markers such as neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios and C-reactive protein measurements. Furthermore, the review discusses the benefits of combining multiple types of measurements and longitudinal tracking to improve staging and prognosis prediction of patients with cancer, and the ability of novel in silico frameworks to leverage this high-dimensional data.

    View details for DOI 10.3389/fonc.2018.00078

    View details for Web of Science ID 000427944100001

    View details for PubMedID 29619344

    View details for PubMedCentralID PMC5871812

  • A Robust Protocol for Protein Extraction and Digestion. Methods in molecular biology (Clifton, N.J.) Atallah, M., Flory, M. R., Mallick, P. 2017; 1550: 1-10


    Proteins play a key role in all aspects of cellular homeostasis. Proteomics, the large-scale study of proteins, provides in-depth data on protein properties, including abundances and post-translational modification states, and as such provides a rich avenue for the investigation of biological and disease processes. While proteomic tools such as mass spectrometry have enabled exquisitely sensitive sample analysis, sample preparation remains a critical unstandardized variable that can have a significant impact on downstream data readouts. Consistency in sample preparation and handling is therefore paramount in the collection and analysis of proteomic data.Here we describe methods for performing protein extraction from cell culture or tissues, digesting the isolated protein into peptides via in-solution enzymatic digest, and peptide cleanup with final preparations for analysis via liquid chromatography-mass spectrometry. These protocols have been optimized and standardized for maximum consistency and maintenance of sample integrity.

    View details for DOI 10.1007/978-1-4939-6747-6_1

    View details for PubMedID 28188518

  • Longitudinal Monitoring of Antibody Responses against Tumor Cells Using Magneto-nanosensors with a Nanoliter of Blood. Nano letters Lee, J. R., Chan, C. T., Ruderman, D., Chuang, H. Y., Gaster, R. S., Atallah, M., Mallick, P., Lowe, S. W., Gambhir, S. S., Wang, S. X. 2017; 17 (11): 6644–52


    Each immunoglobulin isotype has unique immune effector functions. The contribution of these functions in the elimination of pathogens and tumors can be determined by monitoring quantitative temporal changes in isotype levels. Here, we developed a novel technique using magneto-nanosensors based on the effect of giant magnetoresistance (GMR) for longitudinal monitoring of total and antigen-specific isotype levels with high precision, using as little as 1 nL of serum. Combining in vitro serologic measurements with in vivo imaging techniques, we investigated the role of the antibody response in the regression of firefly luciferase (FL)-labeled lymphoma cells in spleen, kidney, and lymph nodes in a syngeneic Burkitt's lymphoma mouse model. Regression status was determined by whole body bioluminescent imaging (BLI). The magneto-nanosensors revealed that anti-FL IgG2a and total IgG2a were elevated and sustained in regression mice compared to non-regression mice (p < 0.05). This platform shows promise for monitoring immunotherapy, vaccination, and autoimmunity.

    View details for DOI 10.1021/acs.nanolett.7b02591

    View details for PubMedID 28990786

  • High-dimensional analysis of the aging immune system: Verification of age-associated differences in immune signaling responses in healthy donors JOURNAL OF TRANSLATIONAL MEDICINE Longo, D. M., Louie, B., Ptacek, J., Friedland, G., Evensen, E., Putta, S., Atallah, M., Spellmeyer, D., Wang, E., Pos, Z., Marincola, F. M., Schaeffer, A., Lukac, S., Railkar, R., Beals, C. R., Cesano, A., Carayannopoulos, L. N., Hawtin, R. E. 2014; 12


    Single-cell network profiling (SCNP) is a multiparametric flow cytometry-based approach that simultaneously measures evoked signaling in multiple cell subsets. Previously, using the SCNP approach, age-associated immune signaling responses were identified in a cohort of 60 healthy donors.In the current study, a high-dimensional analysis of intracellular signaling was performed by measuring 24 signaling nodes in 7 distinct immune cell subsets within PBMCs in an independent cohort of 174 healthy donors [144 elderly (>65 yrs); 30 young (25-40 yrs)].Associations between age and 9 immune signaling responses identified in the previously published 60 donor cohort were confirmed in the current study. Furthermore, within the current study cohort, 48 additional immune signaling responses differed significantly between young and elderly donors. These associations spanned all profiled modulators and immune cell subsets.These results demonstrate that SCNP, a systems-based approach, can capture the complexity of the cellular mechanisms underlying immunological aging. Further, the confirmation of age associations in an independent donor cohort supports the use of SCNP as a tool for identifying reproducible predictive biomarkers in areas such as vaccine response and response to cancer immunotherapies.

    View details for DOI 10.1186/1479-5876-12-178

    View details for Web of Science ID 000338475000001

    View details for PubMedID 24952610

    View details for PubMedCentralID PMC4229969

  • Genomic relationship between SINE retrotransposons, Pol III- Pol II transcription, and chromatin organization: the journey from junk to jewel BIOCHEMISTRY AND CELL BIOLOGY-BIOCHIMIE ET BIOLOGIE CELLULAIRE Lunyak, V. V., Atallah, M. 2011; 89 (5): 495-504


    A typical eukaryotic genome harbors a rich variety of repetitive elements. The most abundant are retrotransposons, mobile retroelements that utilize reverse transcriptase and an RNA intermediate to relocate to a new location within the cellular genomes. A vast majority of the repetitive mammalian genome content has originated from the retrotransposition of SINE (100-300 bp short interspersed nuclear elements that are derived from the structural 7SL RNA or tRNA), LINE (7kb long interspersed nuclear element), and LTR (2-3 kb long terminal repeats) transposable element superfamilies. Broadly labeled as "evolutionary junkyard" or "fossils", this enigmatic "dark matter" of the genome possesses many yet to be discovered properties.

    View details for DOI 10.1139/O11-046

    View details for Web of Science ID 000299780400008

    View details for PubMedID 21916613

    View details for PubMedCentralID PMC3660135

  • Inhibition of activated pericentromeric SINE/Alu repeat transcription in senescent human adult stem cells reinstates self-renewal CELL CYCLE Wang, J., Geesman, G. J., Hostikka, S. L., Atallah, M., Blackwell, B., Lee, E., Cook, P. J., Pasaniuc, B., Shariat, G., Halperin, E., Dobke, M., Rosenfeld, M. G., Jordan, I. K., Lunyak, V. V. 2011; 10 (17): 3016-3030


    Cellular aging is linked to deficiencies in efficient repair of DNA double strand breaks and authentic genome maintenance at the chromatin level. Aging poses a significant threat to adult stem cell function by triggering persistent DNA damage and ultimately cellular senescence. Senescence is often considered to be an irreversible process. Moreover, critical genomic regions engaged in persistent DNA damage accumulation are unknown. Here we report that 65% of naturally occurring repairable DNA damage in self-renewing adult stem cells occurs within transposable elements. Upregulation of Alu retrotransposon transcription upon ex vivo aging causes nuclear cytotoxicity associated with the formation of persistent DNA damage foci and loss of efficient DNA repair in pericentric chromatin. This occurs due to a failure to recruit of condensin I and cohesin complexes. Our results demonstrate that the cytotoxicity of induced Alu repeats is functionally relevant for the human adult stem cell aging. Stable suppression of Alu transcription can reverse the senescent phenotype, reinstating the cells' self-renewing properties and increasing their plasticity by altering so-called "master" pluripotency regulators.

    View details for DOI 10.4161/cc.10.17.17543

    View details for Web of Science ID 000294480700035

    View details for PubMedID 21862875

    View details for PubMedCentralID PMC3218602