Static mechanical strain induces capillary endothelial cell cycle re-entry and sprouting.

Vascular endothelial cells are known to respond to a range of biochemical and time-varying mechanical cues that can promote blood vessel sprouting termed angiogenesis. It is less understood how these cells respond to sustained (i.e., static) mechanical cues such as the deformation generated by other contractile vascular cells, cues which can change with age and disease state. Here we demonstrate that static tensile strain of 10%, consistent with that exerted by contractile microvascular pericytes, can directly and rapidly induce cell cycle re-entry in growth-arrested microvascular endothelial cell monolayers. S-phase entry in response to this strain correlates with absence of nuclear p27, a cyclin-dependent kinase inhibitor. Furthermore, this modest strain promotes sprouting of endothelial cells, suggesting a novel mechanical 'angiogenic switch'. These findings suggest that static tensile strain can directly stimulate pathological angiogenesis, implying that pericyte absence or death is not necessarily required of endothelial cell re-activation.

Propranolol targets the contractility of infantile haemangioma-derived pericytes.

BACKGROUND: Propranolol, a ß-adrenergic receptor (AR) antagonist, is an effective treatment for endangering infantile haemangioma (IH). Dramatic fading of cutaneous colour is often seen a short time after initiating propranolol therapy, with accelerated regression of IH blood vessels discerned after weeks to months. OBJECTIVES: To assess a possible role for haemangioma-derived pericytes (HemPericytes) isolated from proliferating and involuting phase tumours in apparent propranolol-induced vasoconstriction. METHODS: HemPericytes were assayed for contractility on a deformable silicone substrate: propranolol (10 µmol L(-1)) restored basal contractile levels in HemPericytes that were relaxed with the AR agonist epinephrine. Small interfering RNA knockdown of ß2-AR blunted this response. HemPericytes and haemangioma-derived endothelial cells were co-implanted subcutaneously in nude mice to form blood vessels; at day 7 after injection, mice were randomized into vehicle and propranolol-treated groups. RESULTS: HemPericytes expressed high levels of ß2-AR mRNA compared with positive control bladder smooth muscle cells. In addition, ß2-AR mRNA levels were relatively high in IH specimens (n = 15) compared with ß1-AR, ß3-AR and α1b-AR. Normal human retinal and placental pericytes were not affected by epinephrine or propranolol in this assay. Propranolol (10 µmol L(-1)) inhibited the proliferation of HemPericytes in vitro, as well as normal pericytes, indicating a nonselective effect in this assay. Contrast-enhanced microultrasonography of the implants after 7 days of treatment showed significantly decreased vascular volume in propranolol-treated animals, but no reduction in vehicle-treated animals. CONCLUSIONS: These findings suggest that the mechanism of propranolol's effect on proliferating IH involves increased pericytic contractility.

TOGA: an automated parsing technology for analyzing expression of nearly all genes.

We have developed an automated, high-throughput, systematic cDNA display method called TOGA, an acronym for total gene expression analysis. TOGA utilizes 8-nt sequences, comprised of a 4-nt restriction endonuclease cleavage site and adjacent 4-nt parsing sequences, and their distances from the 3' ends of mRNA molecules to give each mRNA species in an organism a single identity. The parsing sequences are used as parts of primer-binding sites in 256 PCR-based assays performed robotically on tissue extracts to determine simultaneously the presence and relative concentration of nearly every mRNA in the extracts, regardless of whether the mRNA has been discovered previously. Visualization of the electrophoretically separated fluorescent assay products from different extracts displayed via a Netscape browser-based graphical user interface allows the status of each mRNA to be compared among samples and its identity to be matched with sequences of known mRNAs compiled in databases.