Author

L. M. Richards

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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Cancer Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. K. Dunn· 1 shared A. Khoo· 1 shared A. Macklin· 1 shared A. Mansouri· 1 shared A. Nixon· 1 shared A. Santorelli· 1 shared C. Chokshi· 1 shared C. Smith· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

A. K. Dunn

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Using pressure-driven flow systems to evaluate laser speckle contrast imaging

C. T. Sullender, A. Santorelli, L. M. Richards, P. K. Mannava, C. Smith, A. K. Dunn

This study compares syringe pumps and pressure-regulated flow systems for microfluidic LSCI testing, finding pressure-regulated systems more reliable and MESI more accurate than LSCI.

bioRxiv · Sep 16, 2022Bioengineering

Characterization of the minimal residual disease state reveals distinct evolutionary trajectories of human glioblastoma

M. A. Qazi, S. K. Salim, K. R. Brown, N. Mikolajewicz, N. Savage, H. Han, M. K. Subapanditha, D. Bakhshinyan, A. Nixon, P. Vora, K. Desmond, C. Chokshi, M. Singh, A. Khoo, A. Macklin, , S. K. Singh

This study characterizes the minimal residual disease state in glioblastoma, revealing distinct evolutionary trajectories and immunomodulatory signatures associated with recurrence.

bioRxiv · Jan 28, 2022Cancer Biology

Single-cell transcriptional analysis of the immune tumour microenvironment during myeloma disease evolution

D. C. Croucher, L. M. Richards, D. Waller, Z. Li, X. F. Huang, M. Chesi, P. L. Bergsagel, M. Sebag, T. J. Pugh, S. Trudel

This study uses single-cell RNA-sequencing to analyze immune cell changes in myeloma progression and identifies potential therapeutic targets for early intervention.

bioRxiv · Oct 22, 2021 · PreprintCancer Biology