A prolific goalscorer,[288] Baggio was an accurate finisher from both inside and outside the area, and was known for his accurate bending shots and composure in front of goal, rather than his power. Due to his excellent technique, he was a precise volleyer, and he had a penchant for scoring from chip shots. Moreover, he was also a set piece specialist, who was highly regarded for his ball delivery from dead-ball situations, as well as his precision from direct free-kicks and his ability to curl the ball, which earned him a reputation as one of the best free kick takers of his generation.[nb 5] His free-kick technique influenced several other players who came to be renowned for their prowess from dead-ball situations,[293] such as Alessandro Del Piero[304] and Andrea Pirlo.[305] During his time with Juventus, his free kick technique was described as a cross between that of Maradona's, Zico's, and Platini's, as at the time, his ball-striking technique was thought to resemble Platini's, although, like Zico and Maradona, he preferred to take free kicks from close range, usually from a distance of around 20 to 16 metres from the goal, or even just outside the area, and to have the ball touched by a teammate first before striking it.[306] Despite his decisive miss in the 1994 World Cup final shootout, Baggio was also a penalty kick specialist.[209][307]
Live cell imaging is a closer representation to the natural state of the cell. Whereas fixed cells are best described as in situ, live cells remain our best method of obtaining data regarding the behavior of cells in their native environments. For example, live cell imaging enables researchers to obtain real-time measurements at the temporal frequency necessary to sample the dynamics of most biological processes adequately [45]. However, the cell viability associated with photobleaching and phototoxicity should be considered carefully, as live cells are susceptible to photodamage that impacts the behavior and viability of the cell, thereby rendering any data acquired from that cell suspect. At the same time, as particles freely move in three-dimensional space within live cells, prolonged single particle tracking can be challenging, often requiring significant datasets to observe dynamic processes [46].
Lubeck and Cai in 2012 and Shah and colleagues in 2016 described sequential FISH (seqFISH) as a way to overcome these limitations to result in a technique that resolved transcripts from 32 stress-responsive genes in single S. cerevisiae cells by combining spatial and spectral coding using (spatial) order of probes (along a transcript) and combinations of colors [71,72]. Their first approach was combinatorial labeling, in which activator-emitter probes were spaced along the mRNA far enough apart (about 100 nucleotides) to be resolved at the resolution capable with STORM. (The localization resolution of STORM is approximately 20 nm [33].) The authors hybridized probes of varying spectral patterns in particular order to different mRNAs to differentiate them, terming this technique spatial barcoding [71] (see Figure 2B). Spectral and spatial barcoding as described by the authors is well suited to identify multiple different mRNAs (the authors claim a limit of 792 genes with an additional probe) to a resolution of approximately 20 nm, providing ample resolution to colocalize mRNA with many subcellular structures. Although this labeling approach is useful in varying situations, it relies on the temporal aspect of STORM to reach its full potential, which can represent a financial obstacle.
Extracted mRNA presents the problem of optical crowding; this obstacle is overcome by the authors via the use of an oligo(dT)-coated coverslip. Oligo(dT) consists of short, single-stranded sequences of deoxythymine. This surface provides a 2D space for mRNAs to adhere and creates some distance between individual transcripts so they can be identified more easily. Oligo(dT) ligands covalently bind to a solid support (in this case the treated coverslip) and hybridize to the mRNA via the poly-adenylated tail. Then, seqFISH is performed as described previously [74] see Figure 2E,F).
The CRISPR/Cas9 system is small enough to fit onto small format delivery mechanisms such as electroporation of mRNA nanoparticles [131,132] and adeno-associated virus (AAV) [133]. The specificity and ease of tag insertions allow for novel multiplexing of single-mRNA labeling of several gene targets at once [134] and flexible modifications [135]. Single mRNA labeling of high abundance mRNA is becoming more trivial with CRISPR technology; Han has developed a novel integration with SunTag [136] for imaging endogenous low-abundance mRNAs [137]. Whereas Cas9 has been primarily utilized for its DNA binding affinity, it has been seen in conjunction with single-site mismatches in respective protospacer adjacent motif (PAM) sequences to potentially target mRNA without affecting protein expression levels [135,138] (Figure 5). An excellent overview that touches on the utility of dCas9-mRNA binding was recently published [139].
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