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iotaSciences 單細胞自動挑選系統 | 精準分離 高存活率 | 告別有限稀釋法

分類: iotaSciences
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iotaSciences 單細胞挑選平台提供全自動化單細胞分離解決方案。採用微型培養腔室技術,確保單一性驗證,溫和處理維持細胞高存活率。可靈活轉移至96孔板、PCR管或質譜儀用容器,完美支援轉錄組學、基因組學、蛋白質組學及脂質組學研究。isoPick自動化系統搭配isoHub影像平台,讓單細胞挑選更簡單、更可靠。SEO 關鍵字:

iotaSciences 單細胞挑選系統 - 全自動化單細胞分離平台

iotaSciences 單細胞自動挑選系統

精準分離 | 高存活率 | 告別有限稀釋法

靈活且自動化的單細胞分離解決方案

iotaSciences 單細胞挑選平台(Picking Platform)提供簡單且流暢的單細胞分離與挑選工作流程。模組化的自動化平台結合強大的自動化技術,提供可重複且一致的實驗結果。系統能夠靈活地將單細胞分離至多種格式,並透過全腔室影像記錄和驗證分離與挑選過程,同時維持卓越的細胞存活率。

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強大的自動化技術

全自動化流程確保可重複且一致的實驗結果,大幅減少人為操作誤差,提升實驗效率與可靠性。

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靈活的格式選擇

可靈活地將單細胞分離至96孔板、PCR管、PCR條或質譜儀用玻璃小瓶等多種下游格式,滿足不同應用需求。

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完整影像記錄

透過全腔室影像自信地記錄和驗證分離與挑選過程,確保單一性驗證的可靠性與可追溯性。

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卓越細胞存活率

溫和的液體處理技術和選配的溫度控制,在整個工作流程中維持最高的單細胞存活率。

高效率的單細胞分離

isoPick 自動化系統 vs 傳統有限稀釋法

傳統有限稀釋法

傳統有限稀釋法 - 效率低且難以驗證單一性

使用「有限稀釋法」手動分離單細胞既繁瑣又效率低下。即使在理想的接種條件下,絕大多數孔洞仍無法獲得單一細胞。含有單細胞的孔洞隨機分布在培養板上,要定位和驗證這些孔洞極其繁瑣且不可靠。

isoPick 自動化挑選

isoPick 自動化單細胞挑選 - 高效率且可驗證單一性

isoPick 系統能夠從超低體積培養腔室(GRID chambers)中自動轉移已驗證的單細胞至96孔板及其他格式。這種方法提供高效率且免手動操作的單細胞分離流程。挑選和轉移過程對細胞非常溫和,在整個工作流程中維持最高的細胞存活率。

靈活轉移單細胞至各種下游應用

分離與轉移至各種下游格式

靈活轉移單細胞至96孔板、PCR管和質譜儀用容器

單細胞挑選平台能夠溫和地分離單細胞,並靈活地轉移至不同的下游格式和體積,相容於各種分析方法。包括用於細胞培養和 PCR 的96孔板、小型收集管(如8條式 PCR 管)以及與質譜工作流程相容的玻璃小瓶。

  • 最高的單細胞分離與轉移保證
  • 溫和且靈活地轉移至不同體積和格式
  • 一致且可重複的性能表現
  • 溫和處理確保最高的單細胞存活率

靈活轉移至不同體積

單細胞可轉移至不同體積的容器

系統支援將單細胞轉移至各種體積的容器中,從微量體積到標準培養體積,完全配合您的實驗設計需求。無論是用於下游基因組學、轉錄組學、蛋白質組學或脂質組學分析,都能提供最佳的樣品處理方案。

完整的單細胞挑選系統

isoPick 自動化單細胞挑選系統

isoPick — 溫和地分離與挑選單細胞

isoPick 系統能夠自動將細胞溫和地分配至 GRID 腔室中,並可靈活地將選定的單細胞轉移至多種與下游應用相容的格式——包括96孔板、PCR 管和質譜儀用小瓶。重要的是,選配的溫度控制和超溫和的敏感細胞處理技術,確保在細胞分離和轉移過程中維持高細胞存活率。

isoHub 影像平台用於單細胞選擇

isoHub — 輕鬆選擇待分離的單細胞

將細胞接種至 GRID 腔室後,您可以使用 isoHub 便利地視覺化目標細胞。系統自動導航瀏覽各個 GRID 腔室,讓您能夠選擇想要分離的單細胞之腔室座標。透過 isoHub,您可以查看整個 GRID 腔室而無光學邊緣效應,確保清晰辨識單細胞。isoPick 與 isoHub 之間的無線通訊也保證了無縫且高效的單細胞分離流程。

GRID 微型培養腔室中的單細胞挑選前後對比

微型培養腔室 — 單細胞挑選技術

與「單細胞選殖平台」(Cloning Platform)相同,單細胞挑選平台利用低體積細胞腔室來分離單細胞。這些腔室非常適合輕鬆驗證單一性,一旦選定相應的腔室,單細胞就能自動且靈活地轉移至各種下游格式,如孔板、PCR 板、PCR 條等。GRID 微型培養腔室技術是 iotaSciences 的核心專利技術,提供超低體積的細胞培養環境,大幅提升單一性驗證的準確性和可靠性。

自動化單細胞組學工作流程

單細胞組學(Single-cell omics)是指在單個細胞解析度下對分子特徵進行全面分析,為細胞異質性和動態變化提供前所未有的洞察。傳統的大量組學技術分析混合的細胞樣本,因此掩蓋了單個細胞之間存在的變異性。相較之下,單細胞方法能夠剖析各種分子層面的變異性,如轉錄組學、基因組學、蛋白質組學和脂質組學,為支配細胞功能和行為的複雜生物過程提供更細緻的洞察。

總體而言,單細胞組學正在以前所未有的解析度轉變我們研究細胞多樣性、發育和疾病的能力。

🧬 單細胞轉錄組學

在單細胞轉錄組學中,採用 RNA-seq 等高通量測序技術來測量單細胞層級的基因表現,能夠識別稀有細胞類型、分化狀態以及對環境刺激的反應。

💧 單細胞脂質組學

單細胞脂質組學在細胞層級檢測脂質特徵,為膜動力學、代謝過程和訊號傳導途徑提供洞察。這是一個新興領域,面臨的挑戰包括需要高靈敏度技術、高效的脂質萃取方法,以及因每個細胞中物質量少而需要精確的數據解讀。

🔬 單細胞蛋白質組學

單細胞蛋白質組學涉及蛋白質的分析,通常使用質譜法或基於抗體的技術,來研究單個細胞中的蛋白質豐度、修飾和交互作用。這種方法可以揭示蛋白質網絡如何響應細胞狀態或疾病而重新編程。

🧪 單細胞基因組學

單細胞基因組學專注於分析單個細胞內的 DNA,提供關於基因組變異性、突變和拷貝數變化的洞察,這些在大量測序中可能被遺漏。這在癌症研究等領域特別有價值,因為腫瘤細胞表現出顯著的基因組異質性。

iotaSciences 單細胞挑選平台的優勢

成功建立單細胞組學工作流程需要幾個關鍵步驟,包括分離已驗證的單細胞和下游樣品處理。iotaSciences 單細胞挑選平台透過自動化所有繁瑣的液體處理步驟,大幅簡化單細胞分離過程,同時利用微型細胞培養腔室可靠地確保單一性。此外,選定的單細胞會自動轉移至與多種單細胞組學應用相容的各類容器中,如孔板、PCR 板、試管和質譜儀用小瓶。樣品可在整個工作流程中選配冷卻功能,以保存珍貴材料並確保各種溶質的完整性。

完整的單細胞組學工作流程

步驟1:建立單細胞懸液

步驟 1:建立單細胞懸液

從異質細胞樣本創建單細胞懸液涉及機械或酶解離,將大量細胞群分解為單個細胞。此過程可能包括使用如胰蛋白酶等酶來分解細胞外基質或細胞-細胞黏附。使用溫和的移液操作進一步分離細胞。解離後,懸液可能通過網篩或過濾器去除團塊,確保獲得均勻的單細胞群。最終的細胞懸液隨後用於分離單個細胞。

步驟2:自動化單細胞分離

步驟 2:自動化單細胞分離

建立單細胞懸液後,下一步是分離單個細胞。傳統的手動分離方法繁瑣且不可靠,無法確保成功分離單細胞。自動化單細胞挑選平台透過使用微型培養腔室來解決這些問題,實現簡單且可靠的單一性驗證。系統自動化所有移液任務,如接種單細胞以及將選定的單細胞轉移至與各自應用相容的容器中。

步驟3:轉移至相容容器

步驟 3:轉移至相容容器

不同類型的組學應用使用不同的容器進行處理。例如,單細胞基因組學和轉錄組學可能使用孔板或試管,而質譜驅動的方法則需要孔板或特定的質譜相容小瓶。單細胞挑選平台能夠靈活地將單細胞轉移至與各種下游應用相容的各類容器中,包括孔板、PCR 板、試管以及適用於質譜的小瓶。

步驟4:下游樣品處理

步驟 4:下游樣品處理

一旦單細胞被轉移至與分析相容的容器中,樣品將需要進一步處理。這可能涉及速凍細胞或使用選定試劑直接裂解。根據不同的分析方法,樣品在獲取數據和分析之前必須經過各種步驟。例如,對於單細胞轉錄組學,來自裂解單細胞的 RNA 需要進行條碼標記和反轉錄,然後再進行次世代測序(NGS)文庫製備和測序。

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常見問題

About iotaSciences Single-Cell Picking Platform

The iotaSciences single-cell picking platform represents a breakthrough in automated single-cell isolation technology, offering researchers a flexible, gentle, and highly efficient solution for isolating individual cells. This innovative platform combines the isoPick automated system with the isoHub imaging platform to deliver a streamlined workflow that maintains exceptional cell viability while ensuring monoclonality verification through proprietary GRID chamber technology.

Traditional limiting dilution methods for single-cell isolation are notoriously tedious and inefficient. Even under optimal plating conditions, the majority of wells fail to receive a single cell, and those that do are randomly distributed across the plate, making verification extremely challenging and unreliable. The iotaSciences platform revolutionizes this process by automatically transferring verified single cells from ultra-low volume GRID chambers into various downstream formats including 96-well plates, PCR tubes, and mass spectrometry-compatible vials.

The isoPick system serves as the heart of the platform's automation capabilities. It gently dispenses cells into GRID chambers and flexibly transfers selected single cells into a range of different formats compatible with downstream applications. The system features optional temperature control and ultra-gentle handling protocols specifically designed for sensitive cells, ensuring the highest possible cell viability throughout the isolation and transfer process. This automation eliminates the tedious manual pipetting steps that characterize traditional approaches while delivering consistent, reproducible results.

Complementing the isoPick system, the isoHub imaging platform provides researchers with an intuitive interface for visualizing and selecting cells of interest. After plating cells into GRID chambers, users can conveniently navigate through the chambers using the isoHub's automated navigation system. The platform captures whole-chamber images without optical edge effects, ensuring clear-cut identification of single cells. Wireless communication between the isoPick and isoHub guarantees a seamless and efficient workflow, eliminating the need for manual coordination between imaging and picking steps.

The platform's flexibility in transferring single cells to different downstream formats represents one of its most valuable features. Researchers can isolate and transfer cells into various volumes and formats, including standard 96-well plates for cell culture, PCR tubes and strips for molecular biology applications, and specialized vials for mass spectrometry workflows. This versatility makes the platform compatible with a wide range of single-cell omics applications, from transcriptomics and genomics to proteomics and lipidomics.

Single-cell omics has emerged as a transformative approach in biological research, enabling comprehensive molecular profiling at the resolution of individual cells. Traditional bulk omics techniques analyze pooled samples of cells, inevitably masking the variability that exists between individual cells. Single-cell approaches, by contrast, enable researchers to dissect this variability across various molecular layers including transcriptomics, genomics, proteomics, and lipidomics, providing unprecedented insights into the complex biological processes that govern cellular function and behavior.

In single-cell transcriptomics, high-throughput sequencing technologies like RNA-seq measure gene expression at the single-cell level, enabling identification of rare cell types, differentiation states, and cellular responses to environmental stimuli. Single-cell genomics focuses on DNA analysis within individual cells, revealing genomic variability, mutations, and copy number alterations that may be completely missed in bulk sequencing approaches. This proves particularly valuable in cancer research, where tumor cells exhibit significant genomic heterogeneity.

Single-cell proteomics involves analyzing proteins using mass spectrometry or antibody-based techniques to study protein abundance, modifications, and interactions in individual cells. This approach reveals how protein networks are reprogrammed in response to different cellular states or diseases. Single-cell lipidomics, an emerging field, examines lipid profiles at the cellular level, offering insights into membrane dynamics, metabolic processes, and signaling pathways, though it faces challenges including the need for highly sensitive techniques and efficient lipid extraction methods.

The iotaSciences platform greatly simplifies the establishment of single-cell omics workflows by automating all tedious liquid handling steps while reliably assuring monoclonality through miniature cell culture chambers. Selected single cells are automatically transferred into various container types compatible with different single-cell omics applications. Samples can optionally be cooled throughout the workflow to preserve precious material and ensure the integrity of various solutes, addressing a critical concern in sensitive applications like lipidomics and proteomics.

The complete single-cell omics workflow begins with creating a single-cell suspension from heterogeneous cell samples through mechanical or enzymatic dissociation. This process typically involves enzymes such as trypsin to break down the extracellular matrix or cell-cell adhesions, followed by gentle pipetting to further separate cells. After dissociation, the suspension is filtered through a mesh or strainer to remove clumps, ensuring a uniform population of single cells ready for isolation.

Following suspension preparation, the automated platform handles the critical isolation step. While traditional manual isolation methods are tedious and unreliable, the scPicking Platform uses miniature culture chambers for easy and reliable monoclonality verification. The system automates all pipetting tasks, from plating single cells to transferring selected cells into vessels compatible with respective applications. This automation eliminates human error and ensures consistent results across experiments.

Different omics applications require different container types for processing. Single-cell genomics and transcriptomics typically use well-plates or tubes, while mass spectrometry-driven approaches require specialized vials. The platform accommodates this diversity by flexibly transferring single cells into various containers including well-plates, PCR plates, tubes, and mass spectrometry-compatible vials, ensuring compatibility with virtually any downstream workflow.

Once single cells have been transferred into assay-compatible containers, samples undergo further processing depending on the specific application. This may involve snap-freezing cells or direct lysis with selected reagents. For single-cell transcriptomics, RNA from lysed cells must be barcoded and reverse-transcribed before NGS library preparation and sequencing. Each application has its own specific requirements, and the platform's flexibility ensures optimal sample preparation for each.

The GRID chamber technology underlying the platform represents a significant innovation in single-cell handling. These ultra-low volume chambers are ideally suited for easily verifying singularity, and once respective chambers have been selected, single cells can be automatically and flexibly transferred into various downstream formats. The chambers eliminate edge effects that plague traditional imaging approaches, providing clear visualization of individual cells and unambiguous confirmation of monoclonality.

Cell viability represents a critical concern in single-cell applications, as downstream analyses require healthy, intact cells to generate meaningful data. The platform addresses this through its ultra-gentle handling protocols and optional temperature control throughout the workflow. The gentle liquid handling minimizes mechanical stress on cells, while temperature control preserves cell integrity and prevents degradation of sensitive biomolecules. These features combine to maintain the highest possible cell viability from isolation through transfer.

The platform delivers consistent and reproducible performance across experiments, a crucial requirement for generating reliable scientific data. Automation eliminates the variability inherent in manual procedures, ensuring that each cell isolation follows identical protocols. This consistency enables researchers to conduct robust comparative studies and confidently interpret differences between samples as biological rather than technical variation.

Documentation and verification capabilities represent another important advantage of the system. The isoHub captures whole-chamber images that provide complete visual documentation of the isolation process. These images serve as permanent records confirming monoclonality and can be archived as part of experimental documentation. This level of verification and documentation far exceeds what is possible with traditional limiting dilution approaches, where visual confirmation of single cells is difficult and unreliable.

The wireless communication between the isoPick and isoHub exemplifies the platform's user-friendly design. This seamless integration eliminates the need for manual coordination between imaging and picking steps, reducing the potential for errors and streamlining the workflow. Researchers can focus on selecting cells of interest rather than managing technical details of the isolation process.

For researchers working with particularly sensitive cell types, the platform's optional temperature control provides essential protection for precious samples. Maintaining appropriate temperatures throughout the workflow prevents degradation of sensitive biomolecules and preserves cell viability, particularly important for applications like lipidomics and proteomics where molecular integrity is critical for accurate results.

The platform's modular design allows it to adapt to different experimental needs and scale from small pilot studies to large-scale screening projects. Whether researchers need to isolate a few dozen cells for detailed characterization or hundreds of cells for comprehensive profiling, the automated system handles the workload efficiently while maintaining consistent quality across all samples.

In summary, the iotaSciences single-cell picking platform represents a comprehensive solution for modern single-cell research. By combining gentle automated handling, flexible format compatibility, reliable monoclonality verification, and comprehensive documentation capabilities, the platform enables researchers to conduct single-cell omics studies with unprecedented efficiency and confidence. Whether investigating cellular heterogeneity in development, disease, or environmental responses, researchers can rely on this platform to deliver the high-quality single-cell isolations essential for generating meaningful biological insights.

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