Journal: npj Antimicrobials and Resistance

Article Title: Accelerating natural product discovery with linked MS-genomics and language/transformer-based models

doi: 10.1038/s44259-026-00206-7

Figure Lengend Snippet: Putative producers of compounds of interest are prioritized through cross-validation of the top ranked strains via Protein Language Model (PLM) embeddings and via our in-house developed Workflow for Intelligent Structural Elucidation (WISE).

Article Snippet: The data processing Workflow for Intelligent Structural Elucidation (WISE) is partially based on Mestrenova v15.0.1-35756 which is commercially available from Mestrelab Research S. L. ( www.mestrelab.com ).

Techniques: Biomarker Discovery

Journal: npj Antimicrobials and Resistance

Article Title: Accelerating natural product discovery with linked MS-genomics and language/transformer-based models

doi: 10.1038/s44259-026-00206-7

Figure Lengend Snippet: A Overview of the cheminformatics analysis workflow (WISE) to annotate individual molecules from raw liquid chromatography-tandem mass spectral (LC-MS/MS) data of fermentation extracts. B Distribution of WISE scores for correct structures (Real) versus isobaric decoy structures (within 0.005 m/z) with different molecular formulae (Decoy) from the Critical Assessment for Small Molecule Identification (CASMI2022) dataset. Low and high WISE score thresholds of 0.35 and 0.65 respectively are annotated for reference. C Receiver Operating Characteristic (ROC) curve demonstrating the discrimination of correct structures from decoys with differing molecular formulae within a 0.005 m/z window. AUC = Area Under Curve. CI = Confidence Interval. Detailed data in Table .

Article Snippet: The data processing Workflow for Intelligent Structural Elucidation (WISE) is partially based on Mestrenova v15.0.1-35756 which is commercially available from Mestrelab Research S. L. ( www.mestrelab.com ).

Techniques: Liquid Chromatography, Liquid Chromatography with Mass Spectroscopy

Journal: npj Antimicrobials and Resistance

Article Title: Accelerating natural product discovery with linked MS-genomics and language/transformer-based models

doi: 10.1038/s44259-026-00206-7

Figure Lengend Snippet: A Elucidated biosynthetic gene cluster BGC0000709, responsible for neomycin production. B Similarity (%) of each embedded protein and sequence similarity (%) of the top-scoring protein matches. C Predicted protein structures of the top matches for Fe-S oxidoreductase ( CAF33317 ) from neomycin BGC. D Heatmap of WISE scores for strain-media combinations derived from the liquid chromatography-tandem mass spectrometry (LC-MS/MS) data of fermentation extracts. Only strains with at least 1 media combination with non-zero WISE score are shown. Activated strains (if any) are referred to by their parent strain instead of individually (details of the activated strains are in Table ). E Structure of neomycin B. F Workflow of the co-occurrence strategy and matrix ranking table with 0.35 WISE score and 0.75 PLM score cutoff. Strains that have been cross validated are highlighted in green or yellow, indicating whether these compounds were present (green) or absent (yellow). Lines indicating higher confidence thresholds of 0.65 WISE score (in red) and 2.5 PLM score (in blue) are also included.

Article Snippet: The data processing Workflow for Intelligent Structural Elucidation (WISE) is partially based on Mestrenova v15.0.1-35756 which is commercially available from Mestrelab Research S. L. ( www.mestrelab.com ).

Techniques: Sequencing, Derivative Assay, Liquid Chromatography, Mass Spectrometry, Liquid Chromatography with Mass Spectroscopy

Journal: bioRxiv

Article Title: A Set of Novel Far-Red Fluorescent Proteins for Temporal Domain Multiplexing and Super-Resolution Imaging

doi: 10.1101/2025.06.01.657196

Figure Lengend Snippet: TDM imaging of mammalian cells. (a) Workflow of temporal domain multiplexing, (i) Multi-frame time series acquisition of Hella cell co-transfect with two FPs expressed in the nucleus and cytoplasm, the Raw data set is processed by background subtraction and denoising to produce the input dataset, the input dataset is uploaded to the Temporal domain multiplexing MATLAB script for unmixing to produced output images of individual channels. (b) Phasor plot and lifetime for Mito-mCardinal (green) (1.593ns) and H2B-mfRFP (red) (0.922ns) (c) Reference photobleaching curve trace for Mito-mCardinal (green) and H2B-mfRFP (red). (d) Unmixing results of FLIM microscopy (top), The raw image was unmix using phasor plot analysis resulting in two different FPs Mito-mCardinal (green) and H2B-mfRFP (red) TDM (bottom) unmixing result from the raw image (gray) was supplied to MATLAB script for linear unmixing of each reference at each pixel (the input images are brief movies obtained from single channel imaging containing two different but spectrally similar (far-red) fluorescent proteins. the output image is a composite of Mito-mCardinal (green) and H2B-mfRFP (red). Scale bar 50µm. (e) Cross-talk plot showing the fluorescence intensity contribution of mito (magenta) and H2B (red) in FLIM mito-mCardinal channel (above) and FLIM mfRFP channel (below), in each plot, the y-axis represents the fluorescence intensity of selected pixel, and the x-axis represent the fluorophore in each channel. (f) Per pixel Line profile analysis of FLIM raw image (grey) and TDM raw image (orange) Statistics Spearman correlation (0.95859) the y-axis represents the normalized fluorescence intensity, and the x-axis represent the length (g) Per pixel Line profile analysis of FLIM mito-mCardinal image (grey) and TDM mito-mCardinal image (orange) Statistical Spearman correlation (0.88849) the y-axis represents the normalized fluorescence intensity, and the x-axis represent the length. (h) Per pixel Line profile analysis of FLIM H2B-mCardinal image (grey) and TDM H2B-mCardinal image (orange) Statistics Spearman correlation (0.881771) the y-axis represents the normalized fluorescence intensity, and the x-axis represent the length. (i) Cross-talk plot showing the fluorescence intensity contribution of mito (magenta) and H2B (red) in TDM mito-mCardinal channel (above) and TDM mfRFP channel (below), in each plot, the y-axis represents the fluorescence intensity of selected pixel, and the x-axis represent the fluorophore in each channel. (j) Simulation of Temporal domain multiplexing with two far-red fluorescent proteins, A 21-frame line plot obtained from previously acquired HeLa cell ROI illustrating the unique photobleaching curve of mfRFP and mfRFP-A that contribute to the overall signals, Data are shown as ± mean standard deviation SD. Illumination(594nm at 100% laser power, 500ms Exposure time. The line plot is subsequently used as reference trace for the unmixing algorithms (k)Acquired brief movie (Time series image) of HeLa cell expressing H2B-mfRFP and mfRFP-A-cytoplasm acquired using 594nmSoRA excitation laser channel. The unmixing result (MATLAB) the signal contribution of each FPS (OUTPUT) to their respective corresponding structures and the merged image depicting the complete HeLa cells structure (H2B and cytoplasm). Note that the image colors used above red-H2B and green-cytoplasm are pseudo colors to enhance visualization and both H2B and the cytoplasm were indeed red. Scale bar 25μm. (l) crosstalk plot showing the fluorescence intensity contributions of mfRFP and mfRFP-A in the TDM output channels, the y-axis represents the fluorescence intensity of selected pixel, and the x-axis represent the fluorophore in each channel. (m) Acquired photobleaching reference traces of mCardinal and mfRFP-A in life HeLa-cell, n=5 cells from 2 briefed movies, 41 frames long, from 1 cell culture batch. Data are shown as ± mean standard deviation SD. Illumination(594nm at 100% laser power, 500ms Exposure time (n), The input image was first refined via background subtraction (ImageJ) followed by denoising (Nikon Element AR software), the input image was supplied to MATLAB script for linear unmixing of each reference at each pixel (the input images are brief movies obtained from single channel imaging(red), containing two different but spectrally similar (far-red) fluorescent proteins. the output image is a composite of mfRFP-H2B and Mito-mCardinal. (Scale-Bar 100um). (o) crosstalk plot showing the fluorescence intensity contributions of mCardinal and mfRFP-A in the TDM output channels, the y-axis represents the fluorescence intensity of selected pixel, and the x-axis represent the fluorophore in each channel. (p) Simulation of TDM using Confocal microscope acquired photobleaching reference traces of H2B-mCardinal, H2B-mRuby2 and H2B-mfRFP in fixed HeLa-cell, 25 frames long (q), the input image was supplied to MATLAB script for linear unmixing of each reference at each pixel (the input images are brief movies obtained from single channel imaging(red), containing three different but spectrally similar (far-red) fluorescent proteins of H2B-mCardina, H2B-mruby2 and H2B-mfRFP, and overlay image is a composite. (Scale-Bar 100um). (r) crosstalk plot showing the fluorescence intensity contributions of H2B-mCardinal, H2B-mRuby2 and H2B-mfRFPin the TDM output channels, the y-axis represents the fluorescence intensity of selected pixel, and the x-axis represent the fluorophore in each channel. (s) Temporal domain multiplexing of six z-plain projection of two red fluorescent proteins(FPs). (A) Acquired photobleaching reference traces of mfRFP and mCardinal in life HeLa-cell, n=10 cells from 2 briefed movies, 41 frames long, from 1 cell culture batch. Data are shown as ± mean standard deviation SD. Illumination(594nm at 100% laser power, 500ms Exposure time). (t) Demultiplexing of co-expressed Keratin-targeted mCardinal and H2B-targeted mfRFP in HeLa cell. the raw image (top) was supplied to MATLAB script for linear unmixing of each reference at each pixel, the Merge TDM image (bottom) is a composite of mfRFP-H2B and mCardinal-Keratin. The output image mfRFP-H2B and mCardinal-Keratin are products of linear un-mixing (Scale-Bar 100um) (u) 3D image obtained from the z-stack of the unmixed z-planes images.

Article Snippet: The workflow integrated raw image preprocessing, computational decomposition, and validation using MATLAB (MathWorks R2020b), Nikon NIS-Elements AR (version 5.30.00 64-bit), and Leica STELLARIS FLIM microscopy.

Techniques: Imaging, Multiplexing, Produced, Microscopy, Fluorescence, Standard Deviation, Expressing, Cell Culture, Software