KUALITAS PERMEN JELLY DENGAN VARIASI KONSENTRASI SLURRY UMBI BIT (Beta vulgaris L.)

Penelitian ini bertujuan untuk mengetahui pengaruh variasi konsentrasi slurry umbi bit (Beta vulgaris L.) terhadap kualitas permen jelly. Permen jelly yang beredar dikalangan masyarakat banyak yang tidak memiliki nilai gizi dan mengandung zat pewarna sintetik yang sangat membahayakan tubuh konsumen terlebih permen jelly sangat disukai oleh semua kalangan. Bit (Beta vulgaris L.) merupakan salah satu jenis sayuran yang memiliki nilai gizi yang baik seperti vitamin C, karbohidrat, serat, protein, kalsium, dan senyawa antioksidan berupa pigmen betalain sebagai pewarna pada bit. Bit dikenal sebagai sayuran yang memiliki senyawa antioksidan namun banyak kalangan masyarakat yang belum mengetahui cara pengolahan umbi bit. Pengolahan umbi bit menjadi permen jelly diharapkan dapat memudahkan masyarakat dalam mengkonsumsi dan memanfaatkan khasiat umbi bit. Pembuatan permen jelly umbi bit dilakukan dengan adanya variasi konsentrasi slurry umbi bit yaitu kontrol, 5 g, 10 g, 15 g, dan 20 g. Pengujian yang dilakukan meliputi uji air, uji abu, uji total fenolik, uji aktivitas antioksidan (DPPH), uji gula reduksi, uji warna, uji tekstur, uji mikrobiologis, dan uji organoleptik. Hasil uji aktivitas antioksidan (DPPH) pada kelima variasi konsentrasi slurry bit menunjukkan hasil berkisar antara 55,23% hingga 86,60%. Kandungan total fenolik berkisar antara 22,06 GAE/100g hingga 42,62 mg GAE/100g. Kadar gula reduksi berkisar antara 1,86% hingga 6,38%. Kadar air menunjukkan hasil berkisar antara 7,32% hingga 15,02% dan kadar abu berkisar antara 0,04% hingga 0,45%. Penambahan variasi konsentrasi slurry bit memberikan pengaruh yang berbeda nyata terhadap keseluruhan uji terkecuali pada uji angka lempeng total. Secara keseluruhan kualitas permen jelly dengan variasi konsentrasi slurry umbi bit terbaik terdapat permen jelly dengan penambahan slurry umbi bit sebesar 10 g

Vinculin–actin interaction couples actin retrograde flow to focal adhesions, but is dispensable for focal adhesion growth

In migrating cells, integrin-based focal adhesions (FAs) assemble in protruding lamellipodia in association with rapid filamentous actin (F-actin) assembly and retrograde flow. How dynamic F-actin is coupled to FA is not known. We analyzed the role of vinculin in integrating F-actin and FA dynamics by vinculin gene disruption in primary fibroblasts. Vinculin slowed F-actin flow in maturing FA to establish a lamellipodium–lamellum border and generate high extracellular matrix (ECM) traction forces. In addition, vinculin promoted nascent FA formation and turnover in lamellipodia and inhibited the frequency and rate of FA maturation. Characterization of a vinculin point mutant that specifically disrupts F-actin binding showed that vinculin–F-actin interaction is critical for these functions. However, FA growth rate correlated with F-actin flow speed independently of vinculin. Thus, vinculin functions as a molecular clutch, organizing leading edge F-actin, generating ECM traction, and promoting FA formation and turnover, but vinculin is dispensible for FA growth

Reflectivity and topography of cells grown on glass-coverslips measured with phase-shifted laser feedback interference microscopy

In spite of the advantages associated with the molecular specificity of fluorescence imaging, there is still a significant need to augment these approaches with label-free imaging. Therefore, we have implemented a form of interference microscopy based upon phase-shifted, laser-feedback interferometry and developed an algorithm that can be used to separate the contribution of the elastically scattered light by sub-cellular structures from the reflection at the coverslip-buffer interface. The method offers an opportunity to probe protein aggregation, index of refraction variations and structure. We measure the topography and reflection from calibration spheres and from stress fibers and adhesions in both fixed and motile cells. Unlike the data acquired with reflection interference contrast microscopy, where the reflection from adhesions can appear dark, our approach demonstrates that these regions have high reflectivity. The data acquired from fixed and live cells show the presence of a dense actin layer located ≈ 100 nm above the coverslip interface. Finally, the measured dynamics of filopodia and the lamella in a live cell supports retrograde flow as the dominate mechanism responsible for filopodia retraction

Adhesions Assemble!—Autoinhibition as a Major Regulatory Mechanism of Integrin-Mediated Adhesion

The advent of cell-cell and cell-extracellular adhesion enabled cells to interact in a coherent manner, forming larger structures and giving rise to the development of tissues, organs and complex multicellular life forms. The development of such organisms required tight regulation of dynamic adhesive structures by signaling pathways that coordinate cell attachment. Integrin-mediated adhesion to the extracellular matrix provides cells with support, survival signals and context-dependent cues that enable cells to run different cellular programs. One mysterious aspect of the process is how hundreds of proteins assemble seemingly spontaneously onto the activated integrin. An emerging concept is that adhesion assembly is regulated by autoinhibition of key proteins, a highly dynamic event that is modulated by a variety of signaling events. By enabling precise control of the activation state of proteins, autoinhibition enables localization of inactive proteins and the formation of pre-complexes. In response to the correct signals, these proteins become active and interact with other proteins, ultimately leading to development of cell-matrix junctions. Autoinhibition of key components of such adhesion complexes—including core components integrin, talin, vinculin, and FAK and important peripheral regulators such as RIAM, Src, and DLC1—leads to a view that the majority of proteins involved in complex assembly might be regulated by intramolecular interactions. Autoinhibition is relieved via multiple different signals including post-translation modification and proteolysis. More recently, mechanical forces have been shown to stabilize and increase the lifetimes of active conformations, identifying autoinhibition as a means of encoding mechanosensitivity. The complexity and scope for nuanced adhesion dynamics facilitated via autoinhibition provides numerous points of regulation. In this review, we discuss what is known about this mode of regulation and how it leads to rapid and tightly controlled assembly and disassembly of cell-matrix adhesion

MLP (muscle LIM protein) as a stress sensor in the heart

Muscle LIM protein (MLP, also known as cysteine rich protein 3 (CSRP3, CRP3)) is a muscle-specific-expressed LIM-only protein. It consists of 194 amino-acids and has been described initially as a factor involved in myogenesis (Arber et al. Cell 79:221–231, 1994). MLP soon became an important model for experimental cardiology when it was first demonstrated that MLP deficiency leads to myocardial hypertrophy followed by a dilated cardiomyopathy and heart failure phenotype (Arber et al. Cell 88:393–403, 1997). At this time, this was the first genetically altered animal model to develop this devastating disease. Interestingly, MLP was also found to be down-regulated in humans with heart failure (Zolk et al. Circulation 101:2674–2677, 2000) and MLP mutations are able to cause hypertrophic and dilated forms of cardiomyopathy in humans (Bos et al. Mol Genet Metab 88:78–85, 2006; Geier et al. Circulation 107:1390–1395, 2003; Hershberger et al. Clin Transl Sci 1:21–26, 2008; Knöll et al. Cell 111:943–955, 2002; Knöll et al. Circ Res 106:695–704, 2010; Mohapatra et al. Mol Genet Metab 80:207–215, 2003). Although considerable efforts have been undertaken to unravel the underlying molecular mechanisms—how MLP mutations, either in model organisms or in the human setting cause these diseases are still unclear. In contrast, only precise knowledge of the underlying molecular mechanisms will allow the development of novel and innovative therapeutic strategies to combat this otherwise lethal condition. The focus of this review will be on the function of MLP in cardiac mechanosensation and we shall point to possible future directions in MLP research

Dynamic Modeling of Cell Migration and Spreading Behaviors on Fibronectin Coated Planar Substrates and Micropatterned Geometries

An integrative cell migration model incorporating focal adhesion (FA) dynamics, cytoskeleton and nucleus remodeling, actin motor activity, and lamellipodia protrusion is developed for predicting cell spreading and migration behaviors. This work is motivated by two experimental works: (1) cell migration on 2-D substrates under various fibronectin concentrations and (2) cell spreading on 2-D micropatterned geometries. These works suggest (1) cell migration speed takes a maximum at a particular ligand density (~1140 molecules/µm2) and (2) that strong traction forces at the corners of the patterns may exist due to combined effects exerted by actin stress fibers (SFs). The integrative model of this paper successfully reproduced these experimental results and indicates the mechanism of cell migration and spreading. In this paper, the mechanical structure of the cell is modeled as having two elastic membranes: an outer cell membrane and an inner nuclear membrane. The two elastic membranes are connected by SFs, which are extended from focal adhesions on the cortical surface to the nuclear membrane. In addition, the model also includes ventral SFs bridging two focal adhesions on the cell surface. The cell deforms and gains traction as transmembrane integrins distributed over the outer cell membrane bond to ligands on the ECM surface, activate SFs, and form focal adhesions. The relationship between the cell migration speed and fibronectin concentration agrees with existing experimental data for Chinese hamster ovary (CHO) cell migrations on fibronectin coated surfaces. In addition, the integrated model is validated by showing persistent high stress concentrations at sharp geometrically patterned edges. This model will be used as a predictive model to assist in design and data processing of upcoming microfluidic cell migration assays