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Biology subjects

Lu, K. L.

Publications and source records attributed to Lu, K. L..

3 recordsLinked to original sources

Histologic variants in bladder cancer harbor aggressive molecular features including TM4SF1 expression and a CA125+ cell state

Histologic variant (HV) subtypes of bladder cancer are clinically aggressive tumors that are more resistant to standard therapy compared to conventional urothelial carcinoma (UC). Little is known about the transcriptional programs that account for the morphological and biological differences in HV tumors. To investigate the tumor biology of HV bladder cancers, we generated a single cell RNA sequencing (scRNA- seq) atlas of nine HV tumors and three UC tumors. Our analyses revealed a tumor cell state specific to HVs that is characterized by expression of MUC16 (CA125), KRT24, and WISP2. This CA125+ cell state bears transcriptional hallmarks of epithelial-mesenchymal transition, is enriched in metastases, is predicted to be highly chemotherapy resistant, and is linked with poor survival, suggesting that this cell state plays an important role in the aggressive biology of HV tumors. Our analyses also provide novel evidence of transcriptional "mimicry" between HVs and histologically similar non-urothelial cell types. Lastly, we identified higher expression of TM4SF1, a cell surface protein associated with cancer metastasis, in HV tumor cells compared to UC tumor cells. Finally, CAR T cells engineered against TM4SF1 protein demonstrated in vitro and in vivo activity against bladder cancer cell lines in a TM4SF1 expression- dependent manner, highlighting its potential as a therapeutic target in bladder cancer. One sentence summarySingle cell RNA sequencing of primary bladder cancers identified a CA125+ cell state specific to histologic variants that is associated with aggressive biological features and TM4SF1 as a novel therapeutic target for histologic variant subtypes of bladder cancer which can be targeted by anti- TM4SF1 CAR T cells.

cancer biology↗

Transgenerational dynamics of rDNA copy number in Drosophila male germline stem cells

rDNA loci, composed of hundreds of tandemly duplicated arrays of rRNA genes, are known to be among the most unstable genetic elements due to their repetitive nature. rDNA instability underlies aging (replicative senescence) in yeast cells, however, its contribution to the aging of multicellular organisms is poorly understood. In this study, we investigate the dynamics of rDNA loci during aging in the Drosophila male germline stem cell (GSC) lineage, and show that rDNA copy number decreases during aging. Our study further reveals that this age-dependent decrease in rDNA copy number is heritable from generation to generation, yet GSCs in animals that inherit reduced rDNA copy number are capable of recovering normal rDNA copy number. Based on these findings, we propose that rDNA loci are dynamic genetic elements, where rDNA copy number changes dynamically yet is maintained through a recovery mechanism in the germline.

developmental biology↗

Germ cell connectivity enhances cell death in response to DNA damage in Drosophila testis

Two broadly known characteristics of germ cells in many organisms are their development as a cyst of interconnected cells and their high sensitivity to DNA damage. Here we provide evidence that these characteristics are linked, and that interconnectivity is a mechanism that confers to the Drosophila testis a high sensitivity to DNA damage. We show that all germ cells within a cyst die simultaneously even when only a subset of them exhibit detectable DNA damage. Compromising connectivity results in cysts in which only a subset of germ cells die upon DNA damage, lowering overall germ cell death. Our data indicate that a death-promoting signal is shared through the intercellular connections of germ cells. Taken together, we propose that intercellular connectivity is a mechanism that uniquely increases the sensitivity of the germline to DNA damage, thereby protecting the integrity of gamete genomes that are passed on to the next generation.

developmental biology↗