DNA density is a better indicator of a nuclear bleb than lamin B loss.
Samantha BunnerKelsey PrinceKaran SrikrishnaEmily Marie PujadasAntonia Amonu McCarthyAnna KuklinskiOlivia JacksonPedro PellegrinoShrushti JagtapImuetiyan EwekaColman LawlorEmma EastinGriffin YasJulianna AielloNathan LaPointeIsabelle Schramm von BlucherJillian HardyJason ChenVadim BackmanAnne JanssenMary PackardKatherine DorfmanLuay AlmassalhaMichael Seifu BahiruAndrew D StephensPublished in: bioRxiv : the preprint server for biology (2024)
Nuclear blebs are herniations of the nucleus that occur in diseased nuclei that cause nuclear rupture leading to cellular dysfunction. Chromatin and lamins are two of the major structural components of the nucleus that maintain its shape and function, but their relative roles in nuclear blebbing remain elusive. Lamin B is reported to be lost in blebs by qualitative data while quantitative studies reveal a spectrum of lamin B levels in nuclear blebs dependent on perturbation and cell type. Chromatin has been reported to be decreased or de-compacted in nuclear blebs, but again the data are not conclusive. To determine the composition of nuclear blebs, we compared the immunofluorescence intensity of lamin B and DNA in the main nucleus body and nuclear bleb across cell types and perturbations. Lamin B nuclear bleb levels varied drastically across MEF wild type and chromatin or lamins perturbations, HCT116 lamin B1-GFP imaging, and human disease model cells of progeria and prostate cancer. However, DNA concentration was consistently decreased to about half that of the main nucleus body across all measured conditions. Using Partial Wave Spectroscopic (PWS) microscopy to measure chromatin density in the nuclear bleb vs body we find similar results that DNA is consistently less dense in nuclear blebs. Thus, our data spanning many different cell types and perturbations supports that decreased DNA is a better marker of a nuclear bleb than lamin B levels that vary widely.
Keyphrases
- prostate cancer
- gene expression
- cell free
- genome wide
- circulating tumor
- transcription factor
- single cell
- stem cells
- high resolution
- endothelial cells
- machine learning
- big data
- oxidative stress
- data analysis
- cell death
- optical coherence tomography
- photodynamic therapy
- high intensity
- nucleic acid
- cell cycle arrest
- fluorescence imaging
- high throughput
- deep learning
- radical prostatectomy
- induced pluripotent stem cells
- molecular dynamics simulations