bioRxiv Science⌕ Search

Biology subjects

Boersma, A.

Publications and source records attributed to Boersma, A..

3 recordsLinked to original sources

STAT5 Gain-of-Function Variants Promote Precursor T-Cell Receptor Activation to Drive T-Cell Acute Lymphoblastic Leukemia

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive immature T-cell cancer. Hotspot mutations in JAK-STAT pathway members IL7R, JAK1 and JAK3 were analyzed in depth. However, the role of STAT5A or STAT5B mutations promoting their hyperactivation is poorly understood in the context of T-cell cancer initiation and acute leukemia progression. Importantly, the driver mutation STAT5BN642H encodes the most frequent activating STAT5 variant in T-ALL associated with poor prognosis. Here, we show that hyperactive STAT5 promotes early T-cell progenitor (ETP)-ALL-like cancer in mice and upregulated genes involved in T-cell receptor signaling (TCR), even in absence of surface TCR promoting. Importantly, these genes were also overexpressed in human T-ALL and other STAT5-dependent T-cell cancers. Moreover, human T-ALL cells were sensitive to pharmacologic inhibition by dual STAT3/5 degraders or ZAP70 tyrosine kinase blockers. Thus, we define STAT5 target genes in T-ALL that promote pre-TCR signaling mimicry. We propose therapeutic targeting using selective ZAP70 or STAT3/5 inhibitors in a subgroup of T-ALL patients with prominent IL-7R-JAK1/3-STAT5 activity. SignificanceWe provide detailed functional characterizations of hyperactive STAT5A or STAT5B in thymic T-cell development and transformation. We found that hyperactive STAT5 transcribes T-cell-specific kinases or pre-TCR signaling hubs to promote T-ALL. Biomolecular and next-generation-sequencing methods, transgenesis and pharmacologic interference revealed that hyperactive STAT5 is a key oncogenic driver that can be targeted in T-ALL using STAT3/5 or SYK family member tyrosine kinase inhibitors. Conflict of interestThe authors declare no potential conflicts of interest.

cancer biology↗

Cell wall damage increases macromolecular crowding effects in the Escherichia coli cytoplasm

The intracellular milieu is crowded with biomacromolecules. Macromolecular crowding changes the interactions, diffusion, and conformations of the biomacromolecules. Changes in intracellular crowding effects have been mostly ascribed to differences in biomacromolecule concentration. However, the spatial organization of these molecules should play a significant role in crowding effects. Here, we find that cell wall damage causes increased macromolecular crowding effects in the Escherichia coli cytoplasm. Using a genetically-encoded macromolecular crowding sensor, we see that crowding effects in E. coli spheroplasts and Penicillin G-treated cells well surpass crowding effects obtained using hyperosmotic stress. The crowding increase is not due to osmotic pressure, cell shape, crowder synthesis, or volume changes, and therefore not crowder concentration. Instead, a genetically-encoded nucleic acid stain and a small molecule DNA stain show nucleoid expansion and cytoplasmic mixing, which could cause these increased crowding effects. Our data demonstrate that cell stress from antibiotics or cell wall damage alters the biochemical organization in the cytoplasm and induces significant conformational changes in a probe protein.

biophysics↗

A physicochemical roadmap of yeast replicative aging

Cellular aging is a multifactorial process that is characterized by a decline in homeostatic capacity, best described at the molecular level. Physicochemical properties such as pH and macromolecular crowding, are essential to all molecular processes in cells and require maintenance. Whether a drift in physicochemical properties contributes to the overall decline of homeostasis in aging is not known. Here we show that the cytosol of yeast cells acidifies modestly in early aging and sharply after senescence. Using a macromolecular crowding sensor optimized for long-term FRET measurements, we show the macromolecular crowding changes less in longer-lived cells in contrast to shorter-lived cells. While the average pH and crowding levels change only modestly with aging, we observe drastic changes in organellar volume, leading to crowding on the {micro}m scale, which we term organellar crowding. Our measurements provide an initial framework of physicochemical parameters of replicatively-aged yeast cells.

biophysics↗