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- Table of Contents
PTGIS · Western blot design guide
PTGIS Western Blot Planning Guide
Plan a PTGIS Western blot around the catalog-observed 57.1 kDa band, image-backed A05053-2 evidence, HPA controls, and verified protocol records.
Evidence assembled July 2026 · For research use; verify linked source records and product datasheet before use
PTGIS Western Blot Experimental Design Guide
Expected bands, validated protocols, controls and antibodies — the at-a-glance facts below, then the full design guide.
Must know before running
| Expected band | 57.1 kDa | |
| Observed band | Not reported — verify product WB image | |
| Gel | 12-15% | |
| Positive control | Testis | |
| Negative control | Soft tissue |
Important caveats
Reasons your observed band may differ from the expected size.
| ⓘ | Calculated mass | 57.1 kDa |
| ⓘ | Localization | Endoplasmic reticulum membrane |
| ⓘ | Processing / PTM | Record-dependent |
| ⓘ | Reactivity | Human / Mouse / Rat |
Section 1
Real Curated PTGIS Western Blot Protocols
Start with the molecular-weight rule, then compare verified publication-derived conditions.
| Sample / lysate | Testis |
| Gel % | 12-15% |
| Load | 20-30 µg total protein per lane |
| Transfer | Semi-dry, standard transfer |
| Membrane | 0.45 µm PVDF |
| Blocking | 5% non-fat milk or 5% BSA in TBST |
| Primary | A05053-2 at datasheet starting dilution |
| Primary incubation | Overnight at 4 °C with gentle agitation |
| Secondary | Species-matched HRP conjugate at validated dilution |
| Wash | 3 × 5 min in TBST |
| Detection | Chemiluminescent substrate |
| Exposure | Bracket exposures to avoid saturation |
Section 2
What Is the Expected PTGIS Western Blot Band Size?
Use the product-observed 57.1 kDa band as the primary planning value and retain the UniProt calculated mass as context.
| 57.1 kDa | Matches the authoritative product WB observation. |
| 57.1 kDa calculated | Use as UniProt context, not as a replacement observed band. |
| Unexpected additional signal | Do not assign identity without orthogonal positive/negative controls. |
💡Expected PTGIS appearancePlan around 57.1 kDa and keep the calculated mass as supporting context.
| Catalog-observed band | 57.1 kDa; use this as the primary experimental expectation. |
| Calculated mass | 57.1 kDa from UniProt Q16647; retain as context. |
| Gel selection | 12-15%; shared with the recommended protocol and poster. |
| Specificity check | Compare the lead HPA positive and negative controls with A05053-2. |
| Situation | Likely cause | Next action |
|---|---|---|
| 57.1 kDa | Matches the authoritative product WB observation. | Confirm with orthogonal controls and the linked product record. |
| Additional band | May reflect processing, modification, or non-specific signal. | Run a dilution series and compare positive/negative controls. |
| Weak signal | Target abundance or transfer may be limiting. | Verify transfer, increase positive-control abundance, and bracket exposure. |
Experiment evidence
Western blot images showing PTGIS band
A05053-2 · PTGIS
← swipe / scroll for more images →
Real WB data behind the band-size expectations in this section.
Sample controls for PTGIS Western blot
🧪Use Testis as the first positive-control candidate and Soft tissue as the HPA Not detected negative candidate.
Positive control: Testis (High)
Negative control: Soft tissue (Not detected)
HPA protein score determines control status; other expression data is supporting context only.
HPA tissue expression evidence for PTGIS
Comprehensive Human Protein Atlas IHC scoring per tissue. Rows are taken directly from the HPA tissue chart — click any row's HPA link to view the source.
Positive expression · recommended positive controls
| Tissue | Cell type | Level | Evidence | Source |
|---|---|---|---|---|
| Testis | Reported tissue cells | High | Protein (HPA) | HPA → |
| Adrenal gland | Reported tissue cells | Medium | Protein (HPA) | HPA → |
| Cerebellum | Reported tissue cells | Medium | Protein (HPA) | HPA → |
| Bronchus | Reported tissue cells | Medium | Protein (HPA) | HPA → |
Section 3
Advanced PTGIS Western Blot Tips
Deeper troubleshooting and optimisation questions for PTGIS, answered from its protein features.
Which band should guide the blot?
Use 57.1 kDa, the observation attached to the authoritative A05053-2 WB record.
How should calculated mass be interpreted?
Treat the UniProt calculated mass as context; it does not replace the catalog-observed 57.1 kDa expectation.
Which positive control should I start with?
Start with Testis, the lead HPA protein-expression candidate.
Which negative control is defensible?
Use Soft tissue as an orthogonal HPA Not detected candidate.
Which gel should I use?
Use 12-15% consistently across the quick facts, protocol table, and poster.
What transfer method to use for PTGIS Western blot?
Use the transfer method in the recommended protocol and verify transfer before blocking.
How should A05053-2 be started?
Start at the linked datasheet condition and run a three-point primary-antibody dilution test.
Which publication-derived protocols can I compare?
No verified publication protocol was supplied; use only the deterministic recommended protocol.
Boster reagents
PTGIS Western Blot Reagents
Human/Mouse/Rat-reactive PTGIS Western blot reagents with authoritative product imagery.
Real WB data
Anti-PTGIS/PGIS Antibody Picoband®
Cat # A05053-2
Only image-backed, WB-validated Human/Mouse/Rat recommendations from the prepared catalog evidence are shown.
Source: prepared picoband-wb product evidence; each card retains its own SKU, URL, observed band, and authoritative WB image.
References
- UniProt Q16647
- Human Protein Atlas — PTGIS
- A05053-2 product record
- PMC10543560 — Validating the role of PTGIS gene in colorectal cancer by bioinformatics analysis and in vitro experiments (Scientific reports, 2023)
- PMC5985735 — DNA Methylation of PTGIS Enhances Hepatic Stellate Cells Activation and Liver Fibrogenesis (Frontiers in pharmacology, 2018)
- PMC9873467 — Effects of Lipid Metabolism-Related Genes PTGIS and HRASLS on Phenotype, Prognosis, and Tumor Immunity in Lung Squamous Cell Carcinoma (Oxidative medicine and cellular longevity, 2023)
