Author

K. E. Lindblad

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

C. Lai· 2 shared C. S. Hourigan· 2 shared L. W. Dillon· 2 shared M. Goswami· 2 shared A. D. Sung· 1 shared A. Lujambio· 1 shared A. M. Tsankov· 1 shared B. Giotti· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

C. Lai

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The novel compensatory reciprocal interplay between neutrophils and monocytes drives cancer progression

Z. Chen, N. Soni, G. Pinero, B. Giotti, D. J. Eddins, K. E. Lindblad, J. L. Ross, N. Tsankova, D. H. Gutmann, S. Lira, A. Lujambio, E. E. B. Ghosn, A. M. Tsankov, D. Hambardzumyan

This paper shows that eliminating monocyte chemoattraction increases neutrophil infiltration in glioblastoma, promoting tumor aggression, and that targeting both monocytes and neutrophils improves survival in mouse models.

bioRxiv · Jul 21, 2022 · PreprintImmunology

Molecular measurable residual disease testing of blood during AML cytotoxic therapy for early prediction of clinical response

H. Y. Wong, A. D. Sung, K. E. Lindblad, S. Sheela, G. W. Roloff, D. Rizzieri, M. Goswami, M. P. Mule, N. R. Ramos, J. Tang, J. Thompson, C. B. DeStefano, K. Romero, L. W. Dillon, D.-Y. Kim, , C. S. Hourigan

This study evaluates molecular residual disease in AML patients during chemotherapy, finding stable variant allele frequencies that may indicate limited therapeutic response.

bioRxiv · Sep 20, 2018Cancer Biology

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry

K. A. Oetjen, K. E. Lindblad, M. Goswami, G. Gui, P. K. Dagur, C. Lai, L. W. Dillon, J. P. McCoy, C. S. Hourigan

The paper assesses human bone marrow cells using single-cell RNA sequencing, flow cytometry, and mass cytometry to evaluate technical and biological variation across age groups.

bioRxiv · Sep 13, 2018Immunology