【標(biāo)題速讀】【Nmeth】【2022年】【2-6月】
聲明：本專欄主要對(duì)生命科學(xué)領(lǐng)域的一些期刊文章標(biāo)題進(jìn)行翻譯，所有內(nèi)容均由本人手工整理翻譯。由于本人專業(yè)為生物分析相關(guān)，其他領(lǐng)域如果出現(xiàn)翻譯錯(cuò)誤請(qǐng)諒解。
冷凍膨脹顯微鏡保留細(xì)胞超微結(jié)構(gòu)
A human cell in mitosis observed using cryo-expansion microscopy (Cryo-ExM). The DNA is stained pink and the rest of the cell with an NHS ester that marks the proteome and highlights the mitochondria in black at each pole of the mitotic spindle.
使用冷凍膨脹顯微鏡（Cryo-Exm）觀察到有絲分裂中的人類細(xì)胞。DNA染成粉紅色，其余的帶有NHS酯標(biāo)記蛋白質(zhì)組的NHS酯的細(xì)胞的其余部分，并在有絲分裂紡錘體的每個(gè)極點(diǎn)突出了黑色的線粒體。
1.CellRank for directed single-cell fate mapping.
用于定向單細(xì)胞命運(yùn)圖譜的CellRank。
2.Squidpy: a scalable framework for spatial omics analysis.
Squidpy：一個(gè)可擴(kuò)展的空間omics分析框架。
3.Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO.
使用MEFISTO從多模態(tài)數(shù)據(jù)中識(shí)別出時(shí)間和空間的變化模式。
4.Reprogramming the piRNA pathway for multiplexed and transgenerational gene silencing in C. elegans.
重新編程piRNA途徑以實(shí)現(xiàn)優(yōu)雅動(dòng)物的多重和跨代基因沉默。
5.CR-I-TASSER: assemble protein structures from cryo-EM density maps using deep convolutional neural networks.
CR-I-TASSER：使用深度卷積神經(jīng)網(wǎng)絡(luò)從冷凍電子顯微鏡密度圖中組裝蛋白質(zhì)結(jié)構(gòu)。
6.NTR 2.0: a rationally engineered prodrug-converting enzyme with substantially enhanced efficacy for targeted cell ablation.
NTR 2.0：一種合理設(shè)計(jì)的原藥轉(zhuǎn)化酶，對(duì)靶向細(xì)胞消融的功效大大增強(qiáng)。
7.Visualizing the native cellular organization by coupling cryofixation with expansion microscopy (Cryo-ExM).
通過(guò)將低溫固定與膨脹顯微鏡（Cryo-ExM）結(jié)合起來(lái)，對(duì)原始細(xì)胞組織進(jìn)行可視化。
8.Spatially resolved isotope tracing reveals tissue metabolic activity.
空間分辨率的同位素追蹤揭示了組織的代謝活動(dòng)。
9.A genetically encoded sensor for in vivo imaging of orexin neuropeptides.
一種基因編碼的傳感器，用于對(duì)奧克蘇神經(jīng)肽的體內(nèi)成像。
10.VascuViz: a multimodality and multiscale imaging and visualization pipeline for vascular systems biology.
VascuViz：用于血管系統(tǒng)生物學(xué)的多模式和多尺度成像和可視化管道。
多重組織成像的工具和指南
IBEX (iterative bleaching extends multiplexity) imaging of cell–cell interactions in a human lymph node evokes a stained glass window in a cathedral.
IBEX（迭代漂白擴(kuò)展了多重性）在人淋巴結(jié)中的細(xì)胞 - 細(xì)胞相互作用的成像喚起大教堂中的彩色玻璃窗。
1.Alevin-fry unlocks rapid, accurate and memory-frugal quantification of single-cell RNA-seq data.
Alevin-fry解除了對(duì)單細(xì)胞RNA-seq數(shù)據(jù)的快速、準(zhǔn)確和節(jié)省內(nèi)存的量化。
2.Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition.
確定性的scRNA-seq捕獲了腸隱窩和類器官組成的變化。
3.Efficient targeted insertion of large DNA fragments without DNA donors.
在沒(méi)有DNA供體的情況下高效地定向插入大的DNA片段。
4.Global profiling of phosphorylation-dependent changes in cysteine reactivity.
磷酸化依賴的半胱氨酸反應(yīng)性變化的全球分析。
5.Targeted multicolor in vivo imaging over 1,000?nm enabled by nonamethine cyanines.
非甲胺基氰化物使1000納米以上的靶向多色活體成像。
6.Isotropic super-resolution light-sheet microscopy of dynamic intracellular structures at subsecond timescales.
亞秒級(jí)時(shí)間尺度的細(xì)胞內(nèi)動(dòng)態(tài)結(jié)構(gòu)的各向同性超分辨率光片顯微鏡。
COVID-19研究：方法引導(dǎo)
Decades of accumulated methods development across diverse areas of basic biological research have facilitated a speedy scientific response to the SARS-CoV-2 virus.
幾十年來(lái)，基礎(chǔ)生物學(xué)研究不同領(lǐng)域的數(shù)十年來(lái)發(fā)展方法促進(jìn)了對(duì)SARS-COV-2病毒的快速科學(xué)反應(yīng)。
1.Antigen identification and high-throughput interaction mapping by reprogramming viral entry.
通過(guò)重新規(guī)劃病毒的進(jìn)入，進(jìn)行抗原識(shí)別和高通量的相互作用圖譜。
2.DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy.
DaXi-高分辨率、大成像量和多視角單目標(biāo)光片顯微鏡。
3.Detecting and correcting false transients in calcium imaging.
檢測(cè)和糾正鈣成像中的虛假瞬態(tài)。
4.HYBRiD: hydrogel-reinforced DISCO for clearing mammalian bodies.
HYBRiD：用于清除哺乳動(dòng)物尸體的水凝膠強(qiáng)化DISCO。
5.SLEAP: A deep learning system for multi-animal pose tracking.
SLEAP：用于多動(dòng)物姿態(tài)跟蹤的深度學(xué)習(xí)系統(tǒng)。
6.Multi-animal pose estimation, identification and tracking with DeepLabCut.
用DeepLabCut進(jìn)行多動(dòng)物姿勢(shì)估計(jì)、識(shí)別和跟蹤。
清除組織的多功能多尺度成像
On the cover, an optically cleared mouse brain imaged with a hybrid open-top light-sheet microscope.
在封面上，用混合式燈具顯微鏡成像的光學(xué)清除的小鼠大腦。
1.Molecular spikes: a gold standard for single-cell RNA counting.
分子尖峰：?jiǎn)渭?xì)胞RNA計(jì)數(shù)的黃金標(biāo)準(zhǔn)。
2.Alignment and integration of spatial transcriptomics data.
空間轉(zhuǎn)錄組學(xué)數(shù)據(jù)的排列和整合。
3.Sub-3-? cryo-EM structure of RNA enabled by engineered homomeric self-assembly.
通過(guò)工程化同源自組裝實(shí)現(xiàn)RNA的亞3?低溫電子顯微鏡結(jié)構(gòu)。
4.Precision size and refractive index analysis of weakly scattering nanoparticles in polydispersions.
多分散體中弱散射納米粒子的精確尺寸和折射率分析。
5.Correction of multiple-blinking artifacts in photoactivated localization microscopy.
光活化定位顯微鏡中多重閃爍偽影的校正。
6.Optimal precision and accuracy in 4Pi-STORM using dynamic spline PSF models.
使用動(dòng)態(tài)花鍵PSF模型在4Pi-STORM中的最佳精度和準(zhǔn)確性。
7.A hybrid open-top light-sheet microscope for versatile multi-scale imaging of cleared tissues.
一種混合的敞開(kāi)式光片顯微鏡，用于清掃組織的多功能多尺度成像。
8.NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster.
NeuroMechFly，成年黑腹果蠅的神經(jīng)機(jī)械模型。
組裝和分析完整基因組的工具
With new tools developed by the Telomere-to-Telomere (T2T) Consortium, the human genome is revealed in greater quality and detail.
借助端粒到居組（T2T）聯(lián)盟開(kāi)發(fā)的新工具，人類基因組的質(zhì)量和細(xì)節(jié)都更高。
1.Chasing perfection: validation and polishing strategies for telomere-to-telomere genome assemblies.
追逐完美：端粒到端粒基因組組裝的驗(yàn)證和拋光策略。
2.Merfin: improved variant filtering, assembly evaluation and polishing via k-mer validation.
Merfin：通過(guò)K-mer驗(yàn)證改進(jìn)變體過(guò)濾、組裝評(píng)估和拋光。
3.Long-read mapping to repetitive reference sequences using Winnowmap2.
使用Wnowmap2對(duì)重復(fù)參考序列進(jìn)行長(zhǎng)讀映射。
4.DiMeLo-seq: a long-read, single-molecule method for mapping protein–DNA interactions genome wide.
DiMeLo-seq：一種長(zhǎng)線、單分子方法，用于繪制全基因組的蛋白質(zhì)-DNA相互作用圖。
5.Ab initio phasing macromolecular structures using electron-counted MicroED data.
使用電子計(jì)數(shù)的MicroED數(shù)據(jù)對(duì)大分子結(jié)構(gòu)進(jìn)行無(wú)源相控。
6.ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction.
ScanNet：一個(gè)可解釋的幾何深度學(xué)習(xí)模型，用于基于結(jié)構(gòu)的蛋白質(zhì)結(jié)合點(diǎn)預(yù)測(cè)。
7.Single-domain near-infrared protein provides a scaffold for antigen-dependent fluorescent nanobodies.
單域近紅外蛋白為抗原依賴性熒光納米體提供支架。
8.Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles.
無(wú)標(biāo)簽的納米流體散射顯微鏡對(duì)單個(gè)擴(kuò)散分子和納米顆粒的尺寸和質(zhì)量的觀察。
9.Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA.
利用CELESTA結(jié)合蛋白質(zhì)表達(dá)和空間信息，在多路原位圖像中識(shí)別細(xì)胞類型。
