Sensitive Quantitative In Vivo Assay for Evaluating the Effects of Biomolecules on Hair Growth and Coloring Using Direct Microinjections into Mouse Whisker Follicles.

Many people suffer from hair loss and abnormal skin pigmentation, highlighting the need for simple assays to support drug discovery research. Current assays have various limitations, such as being in vitro only, not sensitive enough, or unquantifiable. We took advantage of the bilateral symmetry and large size of mouse whisker follicles to develop a novel in vivo assay called "whisker follicle microinjection assay". In this assay, we plucked mouse whiskers and then injected molecules directly into one side of the whisker follicles using microneedles that were a similar size to the whiskers, and we injected solvent on the other side as a control. Once the whiskers grew out again, we quantitatively measured their length and color intensity to evaluate the effects of the molecules on hair growth and coloring. Several chemicals and proteins were used to test this assay. The chemicals minoxidil and ruxolitinib, as well as the protein RSPO1, promoted hair growth. The effect of the clinical drug minoxidil could be detected at a concentration as low as 0.001%. The chemical deoxyarbutin inhibited melanin production. The protein Nbl1 was identified as a novel hair-growth inhibitor. In conclusion, we successfully established a sensitive and quantitative in vivo assay to evaluate the effects of chemicals and proteins on hair growth and coloring and identified a novel regulator by using this assay. This whisker follicle microinjection assay will be useful when investigating protein functions and when developing drugs to treat hair loss and abnormal skin pigmentation.

Identification of Cancer Driver Genes by Integrating Multiomics Data with Graph Neural Networks.

Cancer is a heterogeneous disease that is driven by the accumulation of both genetic and nongenetic alterations, so integrating multiomics data and extracting effective information from them is expected to be an effective way to predict cancer driver genes. In this paper, we first generate comprehensive instructive features for each gene from genomic, epigenomic, transcriptomic levels together with protein-protein interaction (PPI)-networks-derived attributes and then propose a novel semisupervised deep graph learning framework GGraphSAGE to predict cancer driver genes according to the impact of the alterations on a biological system. When applied to eight tumor types, experimental results suggest that GGraphSAGE outperforms several state-of-the-art computational methods for driver genes identification. Moreover, it broadens our current understanding of cancer driver genes from multiomics level and identifies driver genes specific to the tumor type rather than pan-cancer. We expect GGraphSAGE to open new avenues in precision medicine and even further predict drivers for other complex diseases.

Expression dynamics of lymphoid enhancer-binding factor 1 in terminal Schwann cells, dermal papilla, and interfollicular epidermis.

BACKGROUND: Transcription factor lymphoid enhancer-binding factor 1 (LEF1) is a downstream mediator of the Wnt/ß-catenin signaling pathway. It is expressed in dermal papilla and surrounding cells in the hair follicle, promoting cell proliferation, and differentiation. RESULTS: Here, we report that LEF1 is also expressed all through the hair cycle in the terminal Schwann cells (TSCs), a component of the lanceolate complex located at the isthmus. The timing of LEF1 appearance at the isthmus coincides with that of hair follicle innervation. LEF1 is not found at the isthmus in the aberrant hair follicles in nude mice. Instead, LEF1 in TSCs is found in the de novo hair follicles reconstituted on nude mice by stem cells chamber graft assay. Cutaneous denervation experiment demonstrates that the LEF1 expression in TSCs is independent of nerve endings. At last, LEF1 expression in the interfollicular epidermis during the early stage of skin development is significantly suppressed in transgenic mice with T-cell factor 3 (TCF3) overexpression. CONCLUSION: We reveal the expression dynamics of LEF1 in skin during development and hair cycle. LEF1 expression in TSCs indicates that the LEF1/Wnt signal might help to establish a niche at the isthmus region for the lanceolate complex, the bulge stem cells and other neighboring cells.

Triazine-Based Covalent DNA-Encoded Libraries for Discovery of Covalent Inhibitors of Target Proteins.

Since ibrutinib was approved by the FDA as an effective monotherapy for chronic lymphocytic leukemia (CLL) and multilymphoma, more and more FDA-approved covalent drugs are coming back into the market. On this occasion, the resurgence of interest in covalent drugs calls for more hit discovery techniques. However, the limited numbers of covalent libraries prevent the development of this area. Herein, we report the design of covalent DNA-encoded library (DEL) and its selection method for the discovery of covalent inhibitors for target proteins. These triazine-based covalent DELs yielded potent compounds after covalent selection against target proteins, including Bruton's Tyrosine Kinase (BTK), Janus kinase 3 (JAK3), and peptidyl-prolyl cis/trans isomerase NIMA-interacting-1 (Pin1).

Large-scale isolation of functional dermal papilla cells using novel surface marker LEPTIN Receptor.

Dermal papilla (DP) cells regulate hair follicle epithelial cells and melanocytes by secreting functional factors, playing a key role in hair follicle morphogenesis and hair growth. DP cells can reconstitute new hair follicles and induce hair regeneration, providing a potential therapeutic strategy for treating hair loss. However, current methods for isolating DP cells are either inefficient (physical microdissection) or only applied to genetically labeled mice. We systematically screened for the surface proteins specifically expressed in skin DP using mRNA expression databases. We identified two antibodies against receptors LEPTIN Receptor (LEPR ) and Scavenger Receptor Class A Member 5 (SCARA5) which could specifically label and isolate DP cells by flow cytometry from mice back skin at the growth phase. The sorted LEPR+ cells maintained the DP characteristics after culturing in vitro, expressing DP marker alkaline phosphatase and functional factors including RSPO1/2 and EDN3, the three major DP secretory factors that regulate hair follicle epithelial cells and melanocytes. Furthermore, the low-passage LEPR+ DP cells could reconstitute hair follicles on nude mice using chamber graft assay when combined with epithelial stem cells. The method of isolating functional DP cells we established here lays a solid foundation for developing DP cell-based therapy.

Anti-inflammatory Constituents from Caulis Trachelospermi.

Caulis Trachelospermi, the stems with leaves of Trachelospermum jasminoides, is a well-known herbal drug of the Apocynaceae family recorded in the Chinese pharmacopeia and used for the treatment of inflammation-related diseases by ethnic minorities of China. The mechanism of anti-inflammatory activity and responsible constituents of T. jasminoides have not been well elucidated in previous studies. Preliminary investigation showed that both the water and the ethyl ester extracts of T. jasminoides exhibited potent inhibitory activity on nitric oxide (NO) production using lipopolysaccharide (LPS)-stimulated murine macrophages. Phytochemical investigation on these extracts afforded 23 compounds, including three new compounds (1:  -3: ) identified on the basis of spectroscopic and mass spectrometric data. Anti-inflammatory bioassay showed that compounds 17, 18, 22: , and 23: inhibited significantly the production of NO in a concentration-dependent manner. Further studies indicated that compound 23: inhibited significantly TNF-α and IL-6 produced by LPS-stimulated RAW 264.7 cells with good selectivity, as well as protein expression of iNOS in RAW 264.7 cells. These chemical constituents may contribute to the anti-inflammatory potential of T. jasminoides.

Ligulaveitnoid A, a new phenylpropanoid from rhizomes and roots of Ligularia veitchiana.

A new phenylpropanoid, ligulaveitnoid A (1), along with four known compounds, (E)-2,3-dihydroconiferyl p-coumarate (2), dihydroconiferyl ferulate (3), 4-hydroxy-3-methoxybenzaldehyde (4) and (E)-p-coumaric acid (5) were isolated from rhizomes and roots of L. veitchiana. All the structures of compounds were identified by the interpretation of their spectroscopic data and comparison with those reported in the literature. The anti-inflammatory activity of the isolates was examined for their inhibitory effects on LPS-induced NO production in macrophage RAW264.7 cells. Among them, compound 2 showed strong inhibitory activities towards the LPS-induced NO production in macrophage RAW264.7 cells with IC50 value of 8.0 µM.

Chemical constituents from the barks of Melia azedarach and their PTP1B inhibitory activity.

One new long-chain ester derivative of trans-ferulic acid 1 and one natural tirucallane-type triterpenoid 2, together with forty known compounds (3-42), were isolated from the barks of Melia azedarach. Their structures were established on the basis of spectroscopic data interpretation. Compounds 7, 9, 10, 12, 13 showed significant inhibitory activities against PTP1B with IC50 values of 13.82 ± 1.29 µM, 13.29 ± 2.26 µM, 20.27 ± 0.52 µM, 24.36 ± 1.25 µM, 15.23 ± 0.6 µM, respectively.

Potential anti-diabetic isoprenoids and a long-chain δ-lactone from frangipani (Plumeria rubra).

A decoction of Plumeria rubra flowers has been used traditionally for the treatment of diabetes in China and Mexico. Chemical investigations on the bioactive constituents of these flowers led to the isolation of 30 compounds, including the four new compounds, one iridoiod (1), two triterpenoids (4, 5), and a long-chain δ-lactone (16). In addition, 26 known compounds (2, 3, 6-15, 17-30) are also reported. All of these compounds were identified on the basis of spectroscopic data interpretation and the absolute configurations of compound 4, 5, 16 were determined by Mosher's method. Compounds 1-4, 7, 8 and 16 showed moderate to significant inhibitory activities against α-glucosidase and protein tyrosine phosphatase 1B, with 4 having IC50 values of 19.45 µM and 0.21 µM, respectively.

Chemical constituents from the leaves of Melia azedarach.

Six compounds, benzyl 3-O-ß-D-glucopyranosyl-7-hydroxybenzoate (1), spathulenol (2), 1,7,8-trihydroxy-2-naphtaldehyde (3), quercetin (4), astragalin (5) and 2-methoxy-4-(2-propenyl)phenyl ß-D-glucoside (6), were isolated from the leaves of Melia azedarach L. The structure elucidation of compound 1 was discussed in detail based on its 2D-NMR data. Compound 1 showed weak cytotoxicity against the cell lines of T-24, NCI-H460, HepG2, SMMC-7721, CNE, MDA-MB-231 and B16F10 with the inhibition rates from 10.01% to 34.05% at the concentration of 80 µM.