True-to-scale DNA-density maps correlate with major accessibility differences between active and inactive chromatin.

Chromatin compaction differences may have a strong impact on accessibility of individual macromolecules and macromolecular assemblies to their DNA target sites. Estimates based on fluorescence microscopy with conventional resolution, however, suggest only modest compaction differences (∼2-10×) between the active nuclear compartment (ANC) and inactive nuclear compartment (INC). Here, we present maps of nuclear landscapes with true-to-scale DNA densities, ranging from <5 to >300 Mbp/µm3. Maps are generated from individual human and mouse cell nuclei with single-molecule localization microscopy at ∼20 nm lateral and ∼100 nm axial optical resolution and are supplemented by electron spectroscopic imaging. Microinjection of fluorescent nanobeads with sizes corresponding to macromolecular assemblies for transcription into nuclei of living cells demonstrates their localization and movements within the ANC and exclusion from the INC.

Exposure to Heavy Metals and Serum Adiponectin Levels among Workers: A 2-Year Follow-Up Study.

The workers exposed to metal fumes had an increased risk of metabolic syndrome, which was correlated with decreased serum adiponectin. Thus, we aimed to explore whether heavy metal exposure affects the adiponectin level. There were 96 male workers recruited from a shipyard at baseline. Apart from 82 participants completed the follow-up assessments, new participants were recruited in next year. Finally, there were 100 welding workers in the exposure group and 31 office workers in the control group. Inferential statistics on repeated measures were performed using generalized estimating equations. A weighted quantile sum (WQS) regression model was conducted to examine the joint effect of the multimetal exposure with serum adiponectin. Significantly negative associations of metals with adiponectin were detected in the welding workers, including Cr (ß = -0.088; 95% CI: -0.148, -0.027), Mn (ß = -0.174; 95% CI: -0.267, -0.081), Co (ß = -0.094; 95% CI: -0.158, -0.029), Ni (ß = -0.108; 95% CI: -0.208, -0.008), Cd (ß = -0.067; 95% CI: -0.115, -0.018), and Pb (ß = -0.089; 95% CI: -0.163, -0.015). The WQS regression suggested that Pb was the greatest contributor. In conclusion, our findings highlighted that welding workers exposed to heavy metals would reduce serum adiponectin.

Nanographenes: Ultrastable, Switchable, and Bright Probes for Super-Resolution Microscopy.

Super-resolution fluorescence microscopy has enabled important breakthroughs in biology and materials science. Implementations such as single-molecule localization microscopy (SMLM) and minimal emission fluxes (MINFLUX) microscopy in the localization mode exploit fluorophores that blink, i.e., switch on and off, stochastically. Here, we introduce nanographenes, namely large polycyclic aromatic hydrocarbons that can also be regarded as atomically precise graphene quantum dots, as a new class of fluorophores for super-resolution fluorescence microscopy. Nanographenes exhibit outstanding photophysical properties: intrinsic blinking even in air, excellent fluorescence recovery, and stability over several months. As a proof of concept for super-resolution applications, we use nanographenes in SMLM to generate 3D super-resolution images of silica nanocracks. Our findings open the door for the widespread application of nanographenes in super-resolution fluorescence microscopy.

Sample drift estimation method based on speckle patterns formed by backscattered laser light.

Single molecule localization microscopy (SMLM) has been established to acquire images with unprecedented resolution down to several nanometers. A typical time scale for image acquisition is several minutes to hours. Yet it is difficult to avoid completely sample drift for long time measurements. To estimate drift, we present a method based on the evaluation of speckle patterns formed by backscattered laser light from the cells using a single molecule localization microscope setup. A z-stack of unique speckle patterns is recorded prior to the measurements as a three-dimensional position reference. During the experiment, images of scattered laser light were acquired, and correlated individually with each of the images of the speckle reference stack to estimate x, y and z drift. Our method shows highly comparable results with a fiducial marker approach, achieving a precision of several nanometers. This method allows for high precision three dimensional drift correction of microscope systems without any additional sample preparation.

Patterned illumination single molecule localization microscopy (piSMLM): user defined blinking regions of interest.

Single molecule localization microscopy (SMLM) has been established as an important super-resolution technique for studying subcellular structures with a resolution down to a lateral scale of 10 nm. Usually samples are illuminated with a Gaussian shaped beam and consequently insufficient irradiance on the periphery of the illuminated region leads to artifacts in the reconstructed image which degrades image quality. We present a newly developed patterned illumination SMLM (piSMLM) to overcome the problem of uneven illumination by computer-generated holography. By utilizing a phase-only spatial light modulator (SLM) in combination with a modified Gerchberg-Saxton algorithm, a user-defined pattern with homogeneous and nearly speckle-free illumination is obtained. Our experimental results show that irradiance 1 to 5 kW/cm2 was achieved by using a laser with an output power of 200 mW in a region of 2000 µm2 to 500 µm2, respectively. Higher irradiance of up to 20 kW/cm2 can be reached by simply reducing the size of the region of interest (ROI). To demonstrate the application of the piSMLM, nuclear structures were imaged based on fluctuation binding-activated localization microscopy (fBALM). The super-resolution fBALM images revealed nuclear structures at a nanometer scale.

Cell-free methylation markers with diagnostic and prognostic potential in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a highly malignant tumor with poor prognosis and high mortality. There is a dearth of effective early diagnostic tools, so liver resection surgery and liver transplantation are the only effective medical treatments. The most commonly used marker for HCC detection is serum alpha fetoprotein (AFP), which has low sensitivity and specificity. Because aberrant DNA methylation of genes and miRNAs occurs early in most cancers, we explored whether circulating methylation markers could be promising clinical tools for HCC diagnosis. Using a whole-genome approach, we identified many hyper-methylated miRNAs in HCC. Furthermore, three abnormally methylated genes and one miRNA were combined to establish a methylation predictive model and tested for its diagnostic and prognostic potential in HCC. Using plasma samples, the predictive model exhibited high sensitivity and specificity (> 80%) for HBV-related HCC. Most importantly, nearly 75% of patients who could not be diagnosed with AFP at 20 ng/mL were detected by this model. Further, the predictive model exhibited an exceedingly high ability to predict 5-year overall survival in HCC patients. These data demonstrate the high diagnostic and prognostic potential of methylation markers in the plasma of HCC patients.

Characterization of osmolyte betaine synthesizing sarcosine dimethylglycine N-methyltransferase from Methanohalophilus portucalensis.

To overcome the extracellular salt stress, Methanohalophilus portucalensis FDF1(T) synthesizes the compatible solute betaine through the methylation of glycine, sarcosine, and N,N-dimethylglycine. S-adenosylmethionine (AdoMet) is the methyl donor. The enzyme sarcosine dimethylglycine N-methyltransferase (SDMT) of M. portucalensis, that catalyzes the formation of N,N-dimethylglycine and glycine betaine, has been purified and characterized. SDMT, a monomer of 33 kDa with a pI at 5.03, has a narrow substrate specificity limited to using only sarcosine and dimethylglycine as substrates for the methyl transferase reaction. The K(m) values for sarcosine and AdoMet were 2.29 and 0.21 mM, respectively, with a V(max) of 0.83 micromol/mg-min (k(cat) value of 0.44 s(-1)). The K(m) values for dimethylglycine and AdoMet were 3.76 and 0.59 mM, respectively, with a V(max) of 4.88 micromol/mg-min (k(cat) of 2.68 s(-1)). A high concentration of the end product betaine (2.0 M) did not affect the SMT activity, but it slightly inhibited the DMT activity. Both activities were also not affected by potassium or sodium ions in concentrations of 200-1,000 mM. We compared this novel archaeal SDMT enzyme to other similar bacterial transferases as well as to the glycine sarcosine dimethylglycine methyltransferase found also in M. portucalensis.