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SPOWScience Paper of the Week Vol. 1 No. 2 2026-W36Edited by Dr. Seok

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Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma

Nature Communications CC BY 4.0

Why this paper

1호가 '면역세포가 왜 못 들어오나' 였다면, 이 논문은 '암세포가 어떻게 옮겨 가나' 입니다. 정상 폐에서 원발 종양으로, 다시 림프절과 뇌 전이까지 한 코호트 안에서 208,506개의 세포를 따라갑니다. 같은 폐, 같은 기법, 다음 질문 — 그래서 이번 주의 논문입니다.

Original Korean For high school For executives
Open in the IDEPublisherRaw data

The courses that make this paper readable

15 courses · 302 lessons
Where are you coming from? If you come from computer science13 If you come from biology8 If you come from the bench8 The shortest road11 If you have to decide something3

You are at home with a pipette; it is the terminal that stops you.

  1. 1 Algorithms 20강 · 필수
  2. 2 Bioinformatics 20강 · 필수
  3. 3 ARACNe 20강 · 필수
  4. 4 Gene Hunt 20강 · 필수
  5. 5 Immune Map 22강 · 필수
  6. 6 viz 20강 · 필수
  7. 7 TCGA 20강 · 필수
  8. 8 tmb 20강 · 필수

This order is computed from what the paper needs and how the courses depend on one another — change the paper and the order changes with it.

Run it
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768 MB · 1 core. The four editions and a cut-down notebook — real scanpy code on a 2,000-cell subsample, done in 30 seconds.

Reproduction box

8 GB · 4 cores, the scanpy stack installed and the raw data mounted at /data. It costs, so it sleeps after 10 idle minutes — your files stay.

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Lessons that share this paper's vocabulary
  1. /diggit 16강 조건부 분석 — 후보를 사슬에 매단다 CD8A · EGFR · 폐선암
  2. /bio 11강 두 그룹 비교 ② — 반복이 적을 때의 함정 PD-1 · CD8A
  3. /viper 16강 그림자와 시너지 — 진짜 운전수 가려내기 PD-1 · CD8A
  4. /diggit 10강 마스터 레귤레이터 — 현장의 실세 추리기 EGFR · 폐선암
  5. /arac 13강 regulon — 사령관이 거느린 부대 명부 PD-1 · CD8A
  6. /spatial 13강 군집과 세포 유형 — 좌표를 쓰지 않고 먼저 나눈다 PD-1 · CD8A
  7. /mirna 1강 두 번째 층 — 유전자를 끄는 22 글자 PD-1 · CD8A
  8. /bulk 20강 원자료를 받으면 처음 할 일 PD-1 · CD8A
  9. /checkpoint 18강 이중특이항체 — T세포를 끌어다 붙인다 PD-1 · CD8A
  10. /celltx 1강 살아 있는 약 — 먹으면 줄어드는 것과 늘어나는 것 PD-1 · 폐선암
1 Operating Systems 20강 2 Computer Architecture 20강 3 Networks 20강 4 Domain Management 20강 5 Data Structures 20강 6 Algorithms 20강 7 Databases 20강 8 Security 20강 9 Discrete Math 20강 10 Python 20강 11 Chemistry 20강 12 Bioinformatics 1~18강 13 Linear Algebra 20강 14 Probability & Statistics 20강 15 Machine Learning 20강 16 Deep Learning 20강 17 VIPER 20강 18 DIGGIT 20강 19 Gene Hunt 20강 20 ARACNe 13~13강 21 Bioinfo Datasets 20강 22 Spatial 22강 23 miRNA-mRNA 20강 24 Bulk RNA-seq 20강 25 tcell 20강 26 antigen 20강 27 checkpoint 20강 28 Cell Therapy 20강 29 innate 20강 30 bcell 20강 31 immunometab 20강 32 traffic 20강 33 escape 20강 34 myeloid 20강 35 cytokine 20강 36 immunology 20강 37 Immune Map 22강 38 TIL 20강 39 Digital Twin 20강 40 Lab Chemistry 20강 41 In Vivo 1~20강 42 Humanized Mice 20강 43 Pharmacokinetics 20강 44 Toxicology & GLP 20강 45 Clinical Trials 20강 46 Phase II/III & Approval 20강 47 Epidemiology 20강 48 Flow & Histology 20강 49 Cell Culture 20강 50 Perturbation 20강 51 Molecular Assays 20강 52 Library Prep 20강 53 Illumina Sequencers 20강 54 10x Genomics 20강 55 viz 1~19강 56 TCGA 17~17강 57 tmb 1~1강 58 tcrhla 20강 59 Perturb-seq 20강 60 insilico 20강 61 wrn 20강 62 pdrug 20강 63 Target Discovery 20강 64 geo 20강 65 sra 20강 66 als 20강 67 gwas 20강 68 Retracing the TNIK Discovery 20강 69 Somatic Mutation Databases 20강 70 In-Silico Target Discovery Practicum 20강 71 From Inverted Papilloma to Carcinoma 20강 72 Protein Structure Prediction 20강 73 Docking and Molecular Dynamics 20강 74 Personalised mRNA Cancer Vaccine 20강 75 Endosomal Escape 20강 76 Lymph Node 20강 77 Cytotoxic T Lymphocytes 20강 78 Canine Mast Cell Tumour I 20강 79 Canine Mast Cell Tumour II 20강 80 On-Demand mRNA Synthesiser I 20강 81 On-Demand mRNA Synthesiser II 20강 82 On-Demand mRNA Synthesiser III 20강 83 mRNA Synthesis Reagents 20강 84 mRNA Synthesiser Cost Analysis 20강 85 mRNA Synthesiser Mechanism 20강 86 mRNA Synthesiser Firmware 20강 87 mRNA Vaccine Design I 20강 88 mRNA Vaccine Design II 20강 89 mRNA Vaccine Design III 20강 90 mRNA Vaccine Design IV 20강 91 mRNA Vaccine Design V 20강 92 mRNA Vaccine Design VI 20강 93 mRNA Vaccine Design (Zheng) I 20강 94 mRNA Vaccine Design (Zheng) II 20강 95 mRNA Vaccine Design (Zheng) III 20강

The paper's methods, and where each is taught

22
Human specimens 📦 Sequencing Libraries, First Steps
Sample preparation 📦 Sequencing Libraries, First Steps
Single-cell RNA sequencing and read processing 📦 Sequencing Libraries, First Steps
Single-cell RNA sequencing and read processing 💧 10x Genomics, First Steps
Whole-exome sequencing and data processing 📦 Sequencing Libraries, First Steps
Immunohistochemistry 💠 Flow Cytometry and Histology, First Steps
Flow cytometry 💠 Flow Cytometry and Histology, First Steps
Filtering and normalization of scRNA-seq data 📦 Sequencing Libraries, First Steps
Filtering and normalization of scRNA-seq data 💧 10x Genomics, First Steps
Filtering and normalization of scRNA-seq data 🧬 Bioinformatics, First Steps
Unsupervised dimensional reduction and clustering 📊 Data Visualization, First Steps
Unsupervised dimensional reduction and clustering 🧭 Algorithms, First Steps
Inference of CNV from scRNA-seq data 📦 Sequencing Libraries, First Steps
Inference of CNV from scRNA-seq data 💧 10x Genomics, First Steps
Prediction of tumor mutation burden ➗ Tumour Mutational Burden, First Steps
Marker gene selection specific to cancer cells 🕸️ Hunting for the Gene, First Steps
Inference of tumor cell state using trajectory analysis 🧭 Algorithms, First Steps
Inference of the developmental trajectory for immune cells 🛡️ The Single-Cell Immune Map, First Steps
Identification of signature genes 🕸️ Hunting for the Gene, First Steps
Survival analysis 🧮 TCGA, First Steps
Gene–gene functional association network 🕸️ ARACNe, First Steps
Cell–cell interaction network 🛡️ The Single-Cell Immune Map, First Steps

Back issues

See all
2026-W40 Streamlined and on-demand preparation of mRNA products on a universal integrated platform Microsystems & Nanoengineering CC BY 4.0 2026-W39 In-Silico Drug discovery approach targeting receptor tyrosine kinase-like orphan receptor 1 for cancer treatment Scientific Reports CC BY 4.0 2026-W37 Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer Cancer Discovery CC BY 4.0 2026-W35 DDX54 downregulation enhances anti-PD1 therapy in immune-desert lung tumors with high tumor mutational burden PNAS 122(14) e2412310122 CC BY-NC-ND 4.0